Krishan K Ahuja
School
AE
Phone
404-385-1140
Office
Guggenheim, 362
Education
B.Sc. Mechanical Engineering, (Honors) 1969, University of London, U.K.; M.Phil., Aeronautical Engineering, 1972, University of London, U.K.; Ph.D., Mechanical Engineering, 1976, Syracuse University;
School Page
https://ae.gatech.edu/directory/person/krishan-k-ahuja
Teaching Interests
Professor Ahuja's teaching interests include undergraduate and graduate courses in experimental mechanics, solid mechanics, and materials characterization. He emphasizes the integration of theoretical concepts with practical laboratory experiences to develop students’ analytical and experimental skills. His approach supports foundational learning in mechanical behavior of materials and structures, promoting active student engagement in research and hands-on problem solving.
Research Interests
Professor Ahuja’s research focuses on experimental mechanics and solid mechanics, with emphasis on advanced materials characterization and mechanical behavior of materials under various loading conditions. His work involves developing and applying experimental methodologies to understand material deformation, damage, and failure mechanisms. The research aims to inform material design and structural performance through precise measurement techniques and data analysis.
Recent Publications
David N. Ramsey, Rohan Parnerkar, E. Wang, Rohan Paladugu, Alexis Noel et al., Preliminary Design and Analysis of the HyperSat using CubeSat Technologies, 2026
DOI: 10.2514/6.2026-1561
Michael Milone, Nehemiah Horak, David N. Ramsey, Krishan K. Ahuja, Continued Characterization and Improvements to an Inductively Coupled Plasma Jet for Thermal Protection System Pre-Screening, 2026
DOI: 10.2514/6.2026-1563
Krishan K. Ahuja, Alexis Noel, Brendan Mindiak, Nick K. Breen, Bradford E. Robertson et al., HyperSat: An Innovative, High-cadence, Hypersonic Flying Testbed, 2026
DOI: 10.2514/6.2026-1559
Jackson S. Larisch, Krishan K. Ahuja, Coherent Noise Sources in Subsonic Lobed Jets, 2026
DOI: 10.2514/6.2026-1294
Alexis Noel, Michael V. Gamarnik, Jesus Arias, John E. Dec, Krishan K. Ahuja, Mechanical Analysis of a Deployable Flexible Thermal Protection System for HyperSat, a CubeSat Platform, 2026
DOI: 10.2514/6.2026-1562
Christos Athanasiou
School
AE
Phone
+1 404.894.2000
Office
Weber SST, 208
Education
Postdoc, Brown University & Massachusetts Institute of Technology (MIT); PhD, Photonics, Ecole Polytechnique Fédérale de Lausanne (EPFL), 2018; Diploma, Applied Physics, National Technical University of Athens (NTUA), 2012
Google Scholar
https://scholar.google.com/citations?user=jMKg4JoAAAAJ
School Page
https://ae.gatech.edu/directory/person/christos-e-athanasiou
Teaching Interests
Professor Athanasiou teaches solid mechanics and structures, from statics and experimental solid mechanics to fracture. His teaching emphasizes physical intuition, analytical clarity, and systems thinking, enabling students to see the whole before the parts and to lead in modern science and engineering.
Research Interests
The Christos Athanasiou Lab advances the fundamental mechanics and physics of materials, with these insights informing systems-level design and decision-making to address challenges in resource efficiency and sustainable development. His work integrates advanced experimental methods that capture material behavior under realistic operational conditions, rational mechanics-based design principles, and tailored AI- and physics-driven modeling. Together, these efforts enable the development of life-cycle-efficient, cost-effective materials and structures for demanding applications ranging from sustainable packaging to space construction.
Recent Publications
D. Georgiou, D. Sun, X. Liu, C. E. Athanasiou* “Suppressing Mechanical Property Variability in Recycled Plastics via Bio-inspired Design”, Proceedings of the National Academy of Sciences (2025) D. Georgiou, D. Okegbu, Z. Yang, T. Wang, M. R. Snowdon, A. Mohanty, N. Gershenfeld, W. Yan, C. E. Athanasiou*, “Eco-voxels: Building Blocks for Sustainable Load-Bearing Structures” Matter (2025) R. Yi, D. Georgiou, X. Liu, C. E. Athanasiou* “Symbolic Regression-based, Model Free, Method for Fracture Investigations”, Journal of Mechanics & Physics of Solids (2025) P. M. Stathatou, C. E. Athanasiou, M. Realff, “From Circularity to Spirality: An Integrated, Systems-Level Approach to Address the Plastics Problem”, Journal of the American Chemical Society (2025) D. Gokhale, P. M. Stathatou, C. E. Athanasiou, P. S. Doyle, “Yeast-laden Hydrogel Capsules for Scalable Trace Lead Removal from Water”, RSC Sustainability (2024)
Christopher E Carr
School
AE
Phone
404-894-5669
Office
ESM, 107B
Education
2005 ScD, Medical Physics, Harvard-MIT Division of Health Sciences & Technology, MIT 2001 SM, Aeronautics and Astronautics, MIT 1999 SB, Aeronautics and Astronautics (Minor in Economics), MIT 1999 SB, Electrical Science and Engineering, MIT
Google Scholar
https://scholar.google.com/citations?user=N38VZzsAAAAJ
School Page
https://ae.gatech.edu/directory/person/christopher-carr
Teaching Interests
Professor Carr’s teaching focuses on fundamental aerospace engineering courses at both undergraduate and graduate levels, including space systems design, planetary spacecraft development, space instrumentation, and technical communication. His instruction emphasizes project-based learning, integration of education and research, and synthesis of hard and soft skills to design and build space systems, focusing on instrumentation, including for life detection and astronaut crew health and safety.
Research Interests
Space instrument development; space missions and systems seeking, supporting life beyond Earth, from microbes to humans; astrobiology, genomics; single molecule detection; machine learning; microbial adaptation and evolution; origin of life; planetary protection. Human performance in extreme environments; bioastronautics; extravehicular activity (EVA); metabolism and aging.
Recent Publications
Carr CE, Ramírez-Colón JL, Duzdevich D, Lee S, Taniguchi M, Ohshiro T, Komoto Y, Soderblom JM, Zuber MT. Solid-State Single-Molecule Sensing with the Electronic Life-Detection Instrument for Enceladus/Europa (ELIE). Astrobiology. 2023 Oct;23(10):1056-1070. doi: 10.1089/ast.2022.0119. Epub 2023 Sep 29. PMID: 37782210. Moore, R.A., Azua-Bustos, A., González-Silva, C. et al. Unveiling metabolic pathways involved in the extreme desiccation tolerance of an Atacama cyanobacterium. Sci Rep 13, 15767 (2023). https://doi.org/10.1038/s41598-023-41879-8 French, R., Mandy, C., Hunter, R., Mosleh, E., Sinclair, D., Beck, P., Seager, S., Petkowski, J. J., Carr, C. E., Grinspoon, D. H., Baumgardner, D., & on behalf of the Rocket Lab Venus Team. (2022). Rocket Lab Mission to Venus. Aerospace, 9(8), 445. https://doi.org/10.3390/aerospace9080445 Carr CE. Resolving the History of Life on Earth by Seeking Life As We Know It on Mars. Astrobiology. 2022 Jul;22(7):880-888. doi: 10.1089/ast.2021.0043. Epub 2022 Apr 25. PMID: 35467949; PMCID: PMC9298492. Daniel Duzdevich, Christopher E Carr, Dian Ding, Stephanie J Zhang, Travis S Walton, Jack W Szostak, Competition between bridged dinucleotides and activated mononucleotides determines the error frequency of nonenzymatic RNA primer extension, Nucleic Acids Research, Volume 49, Issue 7, 19 April 2021, Pages 3681–3691, https://doi.org/10.1093/nar/gkab173
Yongxin Chen
School
AE
Phone
404-894-2765
Office
CODA, E1048B
Education
B.S., Mechanical Engineering, 2011, Shanghai Jiao Tong University Ph.D., Mechanical Engineering, 2016, University of Minnesota
Google Scholar
https://scholar.google.com/citations?user=2z7iDDUAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/yongxin-chen
Teaching Interests
Professor Chen's teaching interests encompass foundational and advanced topics in aerospace engineering, including control systems, dynamics, optimization, and machine learning at undergraduate and graduate levels. He emphasizes developing students' analytical and computational skills while fostering understanding of systems theory and control applications relevant to aerospace systems. His instruction integrates theoretical concepts with practical problem-solving to prepare students for research and industry challenges.
Research Interests
Professor Chen’s research interests lie at the intersection of control, machine learning and robotics. He has conducted research on diverse topics, including stochastic control, generative modeling, reinforcement learning, optimal transport, Markov chain Monte Carlo etc. His contributions span theory, algorithm development, and applications. He enjoys developing new algorithms and theoretical frameworks for real world applications.
Recent Publications
Z Liu, S Jafarpour, Y Chen, Probabilistic Reachability Analysis of Stochastic Control Systems, IEEE Transactions on Automatic Control, 2025 Z Liu, S Jafarpour, Y Chen, Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube, IEEE Transactions on Automatic Control, 2025 G Liu, J Choi, Y Chen, B Miller, R Chen, Adjoint Schrödinger Bridge Sampler, Conference on Neural Information Processing Systems, 2025 U Mishra, D He, Y Chen, D Xu, Compositional Diffusion with Guided search for Long-Horizon Planning, International Conference on Learning Representations, 2026 W Guo, J Choi, Y Zhu, M Tao, Y Chen, Proximal Diffusion Neural Sampler, International Conference on Learning Representations, 2026
Glen Chou
School
AE
Phone
+1 404.894.2000
Office
CODA, E0970B
Education
B.S., Electrical Engineering and Computer Science and Mechanical Engineering, University of California, Berkeley, 2017 M.S., Electrical and Computer Engineering, University of Michigan, 2019 Ph.D., Electrical and Computer Engineering, University of Michigan, 2022
Google Scholar
https://scholar.google.com/citations?user=90whi3wAAAAJ
School Page
https://ae.gatech.edu/directory/person/glen-chou
Teaching Interests
My teaching interests span robotics and robot learning, trustworthy autonomy, control theory, and computer security. In control, I am interested in teaching about feedback systems at both the undergraduate and graduate levels, covering linear, nonlinear, and optimal control with an emphasis on rigorous analysis and real-world implementation. I aim to connect state-space methods and computational tools to modern applications in robotics. I am also interested in teaching about scalable methods for formal verification with applications in robotics and safe machine learning for autonomy, equipping students to design provably reliable cyber-physical systems. I also teach computer security with at the undergraduate level.
Research Interests
I direct the Trustworthy Robotics Lab, where we design algorithms that can enable general-purpose robots and autonomous systems to operate capably, safely, and securely with humans, while remaining resilient to real-world failures and uncertainty. To achieve this, we leverage control and machine learning, while connecting to optimization, perception, formal methods, planning, human-robot interaction, and statistics. I believe strongly in validating that the theoretical guarantees of my algorithms translate to the real world when deployed on hardware. I'm interested in a broad range of applications, including robotic manipulation, vision-based navigation, aerospace autonomy, and the control of large-scale cyber-physical systems.
Recent Publications
'- Nath*, Yin*, and Chou. Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees. 8th Annual Learning for Dynamics & Control Conference (L4DC), oral presentation, June 2026. - Zhan, Chiu, Leeman, and Chou. Robustly Constrained Dynamic Games for Uncertain Nonlinear Dynamics. IEEE International Conference on Robotics and Automation (ICRA), June 2026. - Li and Chou. A Convex Formulation of Compliant Contact between Filaments and Rigid Bodies. IEEE International Conference on Robotics and Automation (ICRA), June 2026. - Chiu, Zhang, and Chou. Learning Constraints from Stochastic Partially-Observed Closed-Loop Demonstrations. IEEE Control Systems Letters, Jan 2026. - Suh, Chou, Dai, Yang, Gupta, and Tedrake. Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. 7th Conference on Robot Learning (CoRL), Nov 2023.
John A Christian
School
AE
Phone
404-894-5809
Office
CODA, E1062B
Education
B.S., Aerospace Engineering, Georgia Institute of Technology; M.S., Aerospace Engineering, Georgia Institute of Technology; Ph.D., Aerospace Engineering, University of Texas at Austin
Google Scholar
https://scholar.google.com/citations?user=Ae5ThqMAAAAJ
School Page
https://ae.gatech.edu/directory/person/john-christian
Teaching Interests
Professor Christian’s teaching interests encompass aerospace systems design, flight vehicle performance, and control systems at both undergraduate and graduate levels. He emphasizes integrating theoretical knowledge with practical applications to prepare students for challenges in aerospace engineering. His instruction often includes multidisciplinary approaches that address the complexities of modern aerospace vehicles and their operation.
Research Interests
Professor Christian’s research focuses on the dynamics, control, and design of aerospace vehicles, including unmanned systems and reconfigurable aircraft. His work addresses flight dynamics modeling, control methodologies, and optimization techniques to enhance vehicle performance and reliability. The research actively involves experimental validation and the development of advanced algorithms to address challenges in aerospace systems engineering.
Recent Publications
JA Christian, Fundamentals of Spacecraft Optical Navigation, John Wiley & Sons, 2026
CA Sherling, W Driessen, H Zhang, MRW II, JA Christian, Filter Smoothing for Spacecraft Navigation, Proceedings of the 38th International Technical Meeting of the Satellite …, 2025
M Mancini, T Duff, A Leykin, JA Christian, Geometric solution to the angles-only initial orbit determination problem, The Journal of the Astronautical Sciences 72 (5), 49, 2025
M Mancini, A Thrasher, C De Vries, JA Christian, Crater projection in linear pushbroom camera images, The Journal of the Astronautical Sciences 72 (5), 55, 2025
JA Christian, MR Walker II, W Bridgman, MJ Sparapany, Runge-Kutta Approximations for Direct Coning Compensation Applying Lie Theory, arXiv preprint arXiv:2511.00412, 2025
John A Dec
School
AE
Phone
404-385-6229
Office
ESM, 205
Education
B.S., Aeronautical Engineering, 1993, Rensselaer Polytechnic Institute; M.S., Aerospace Engineering, 1994, Georgia Institute of Technology; Ph.D. Aerospace Engineering, 2010, Georgia Institute of Technology;
School Page
https://ae.gatech.edu/directory/person/john-dec
Teaching Interests
Professor Dec’s teaching interests include undergraduate and graduate courses in aerospace engineering fundamentals such as orbital mechanics, aircraft performance, hypersonic aerothermodynamics, and spacecraft design. Professor Dec uses the experience he gained working at NASA Langley Research Center to bring real world problems into the classroom. His instruction integrates theoretical concepts with practical applications to prepare students for challenges in aerospace systems. Professor Dec emphasizes student engagement and problem-solving skills across core aerospace topics.
Research Interests
Professor Dec’s research focuses on the development and application of computational methods for aerospace vehicle performance and design. His work includes design and analysis of hypersonic vehicle thermal protection systems (TPS), aerodynamic heating analysis, flight trajectory optimization, and mission design. He uses a multidisciplinary approach to improve system design and operation. The research actively involves graduate and undergraduate students in advancing aerospace engineering knowledge.
Recent Publications
1. A. Noel, M. V. Gamarnik, J. E. Arias, J. Dec, and K. K. Ahuja, “Mechanical Analysis of a Deployable Flexible Thermal Protection System for HyperSat, a CubeSat Platform,” AIAA SCITECH 2026 Forum, Jan. 2026. 2. K. K. Ahuja et al., “HyperSat: An Innovative, High-cadence, Hypersonic Flying Testbed,” AIAA SCITECH 2026 Forum, Jan. 2026. 3. Landon Jarrel, Michael Brocker, Aimee Williams, John A. Dec, K.K. Ahuja, “Development and Characterization of an Inductively Coupled Plasma Jet for High- Temperature Testing”, AIAA 2024-1401. AIAA SCITECH 2024 Forum. January 2024. 4. Antonio Macias, Anthony Carreon, Daniel F. Berisford, Christopher E. Carr, John Dec, David Goldstein, Philip Varghese, Laurence Trafton, Kevin P. Hand,“Constraints on Sublimation-Driven Surface Morphology of Ocean Worlds” ICARUS Special Edition, 2023 5. Steven Tobin, and John A. Dec, “Probabilistic Design Demonstration of a Flexible Thermal Protection System for a Hypersonic Inflatable Decelerator”, 2nd AIAA Spacecraft Structures Conference, AIAA SciTech, January 5-9, 2015.
Bolei Deng
School
AE
Phone
+1 404 304 2539
Office
Weber, 219
Education
B.S., Engineering Mechanics, Zhejiang University, 2016 Ph.D., Mechanical Engineering and Material Science, Harvard University, 2021
Google Scholar
https://scholar.google.com/citations?user=F4YFjy8AAAAJ
School Page
https://ae.gatech.edu/directory/person/bolei-deng
Teaching Interests
Professor Deng's teaching interests encompass core aerospace engineering principles, including dynamics, structures, and vibrations, at both undergraduate and graduate levels. He emphasizes integrating theoretical foundations with practical applications to prepare students for advanced study and professional practice. His teaching approach seeks to engage students in problem-solving and critical thinking relevant to aerospace engineering challenges.
Research Interests
Professor Deng's research primarily focuses on employing artificial intelligence for the design and optimization of mechanical metamaterials across various scales. He has a keen interest in understanding and leveraging nonlinear behaviors, including nonlinear dynamics, multistabilities, and fracture. His work spans from developing ultra-strong and tough metamaterials to innovations in robotics, mechanical computing, and physical intelligence.
Recent Publications
L Chen, M Fuertes, B Deng, Topological computation by non-Abelian braiding in classical metamaterials, Physical Review Research 7 (2), 023143, 2025 C Liu, XY Yan, S Li, H Zhang, B Deng, NX Fang, Y Habibi, SC Chen, ..., A metre-scale vertical origami hydrogel panel for atmospheric water harvesting in Death Valley, Nature Water, 1-9, 2025 ST Korfia, F Trigka, V Riera Naranjo, S Bizzi, H Zhang, B Deng, MM Lerch, Structure-Aided Chemical Signal Propagation in Hydrogel Metastructures, ChemRxiv, 2025 Y Fu, V Shen, V Riera Naranjo, B Deng, A Adams, J Hester, SoundOff: Low-cost Passive Ultrasound Tags for Non-invasive and Non-Intrusive Smart Home Sensing, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2025 X Yang, B Wang, VR Naranjo, M Guo, O Rivera, L Sopizhenko, S Li, ..., Electronic‐Free Particle Robots Communicate through Architected Tentacles, Advanced Intelligent Systems 7 (12), e202500151, 2025
Claudio Di Leo
School
AE
Phone
404-894-0042
Office
Weber, 209
Education
SB Mechanical Engineering - Massachusetts Institute of Technology (2010) SM Mechanical Engineering Mechanical Engineering - Massachusetts Institute of Technology (2012) Doctor of Philosophy in Mechanical Engineering- Massachusetts Institute of Technology (2015)
Google Scholar
https://scholar.google.com/citations?user=_5cjSVYAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/claudio-vinicius-di-leo
Teaching Interests
Professor Di Leo’s teaching interests encompass core aerospace engineering topics at undergraduate and graduate levels, focusing on mechanics of materials and structures. His instruction aims to build a solid foundation in solid mechanics while integrating practical applications. Professor Di Leo actively involves students in the learning process through problem-solving and laboratory experiences that support research and professional development.
Research Interests
Professor Di Leo’s research focuses on understanding the mechanical behavior of materials when coupled with additional physical stimuli. This coupling occurs in many engineering systems of relevance such as Lithium Ion batteries, hydrogels, and thermal barrier coatings. Professor Di Leo's research approach focuses on the development of continuum mechanics theories, and accompanying numerical tools, for capturing the coupling in these complex systems. His research group employs a combined theoretical, computational, and experimental effort in characterizing and validating multi-physics mechanics of materials theories.
Recent Publications
Kaudur, S.B., Di Leo, C.V., "Coupled thermo-chemo-mechanical modeling of reactive solids: Applications to thermochemical energy storage materials". Journal of the Mechanics and Physics of Solids, 106448, 2025 Nelson, D.L., et al., "Fracture Dynamics in Silicon Anode Solid-State Batteries". ACS Energy Letters 9 (12), 6085-6095, 2024 Bistri, D., Di Leo, C.V., "A continuum electro-chemo-mechanical gradient theory coupled with damage: Application to Li-metal filament growth in all-solid-state batteries". Journal of the Mechanics and Physics of Solids 174, 105252, 2023 Afshar, A., Di Leo, C.V., "A Thermodynamically Consistent Gradient Theory for Diffusion-Reaction-Deformation in Solids: Application to Conversion-Type Electrodes." Journal of The Mechanics and Physics of Solids, 151, p.104368.1-37, 2021 Leon, B.L., Rimoli, J.J., Di Leo, C.V. "Rotorcraft dynamic platform landings using robotic landing gear". Journal of Dynamic Systems, measurement, and Control, 143 (11), 1110006, 2021
Benjamin Lee Emerson II
School
AE
Phone
404-385-0413
Office
CNES, 216
Education
Ph.D., Georgia Institute of Technology, 2013
School Page
https://ae.gatech.edu/directory/person/benjamin-lee-emerson-ii
Teaching Interests
Professor Emerson's teaching focuses on core aerospace engineering subjects at both undergraduate and graduate levels, emphasizing combustion, propulsion, and fluid mechanics. His instruction integrates theoretical foundations with practical applications to prepare students for research and professional practice.
Research Interests
Professor Emerson's research focuses on combustion systems for propulsion and energy. His background is fluid dynamics of combustion systems. Today, Professor Emerson has extended his research to R&D of future propulsion systems, management of pollutant emissions, and thermal management. This includes experimental testing and development of novel combustion diagnostic methods. It also includes thermoacoustic modeling and hydrodynamic stability modeling.
Recent Publications
Patel, S.J. and Emerson, B., 2026. Effect of Finite Mixing Timescales in Nonpremixed Rich Relaxation Lean Combustors. Journal of Engineering for Gas Turbines and Power, 148(1), p.011009 Emerson, B., Wu, D., Avila Jimenez, C. D., Cole, R., Park, J., Lee, S., Harper, J., and Noble, D. (September 15, 2025). "Development of A Full Scale Retrofittable Ammonia Combustor for Can Annular Frame Engine Implementation." ASME. J. Eng. Gas Turbines Power. Cole, R., Jimenez, C.D.A., Wu, D., Lieuwen, T. and Emerson, B., 2025. Carbon monoxide emissions from combustion of non-carbon-containing fuels. Combustion and Flame, 273, p.113913. Hsu, P.S., Chen, T., Roy, A., Zhang, A., Oleksandr, B., Adhikari, S., Emerson, B. and Lieuwen, T., 2023. A compact LWIR borescope sensor for 2D engine component surface temperature measurement. Measurement Science and Technology, 34(6), p.064004. Ek, H.M., Nair, V., Douglas, C.M., Lieuwen, T.C. and Emerson, B.L., 2022. Permuted proper orthogonal decomposition for analysis of advecting structures. Journal of Fluid Mechanics, 930, p.A14.
Karen Feigh
School
AE
Phone
404-385-7686
Office
Montgomery Knight, 321-3
Education
B.S. in Aerospace Engineering from Georgia Tech; (2001) MPhil in Aeronautics from Cranfield University, UK; (2003) Ph.D. in Industrial and Systems Engineering from Georgia Tech (2008)
Google Scholar
https://scholar.google.com/citations?user=y1cHmVMAAAAJ
School Page
https://ae.gatech.edu/directory/person/karen-m-feigh
Teaching Interests
Professor Feigh’s teaching focuses on human factors and systems engineering topics at both undergraduate and graduate levels. Her courses cover human-automation interaction, decision-making, cognitive systems engineering, and usability evaluation. She integrates practical analytical methods and human-centered design principles to prepare students for interdisciplinary work that addresses complex technological and operational challenges in engineered systems.
Research Interests
Professor Feigh’s research investigates human interaction with complex automated and autonomous systems, emphasizing human-centered design and decision support. Her work advances cognitive systems engineering to enhance system safety, reliability, and performance. She employs modeling and empirical methods to understand human-automation collaboration, focusing on interface design, situation awareness, and resilience in sociotechnical systems.
Recent Publications
R Agbeyibor, R Bowers, J Kolb, KM Feigh, Situation Awareness-Based Agent Transparency and Team Fluency in a Multi-Agent Intelligence, Surveillance, Reconnaissance Scenario, AIAA SCITECH 2026 Forum, 2731, 2026 RF Silva, JM Magalhaes, KM Feigh, Advancing Conjunction Analysis in SDA Through Hypothesis Reasoning and Analytical Fusion, AIAA SCITECH 2026 Forum, 0160, 2026 R Bowers, R Agbeyibor, J Kolb, KM Feigh, Model cards for ai teammates: Comparing human-ai team familiarization methods for high-stakes environments, 2025 34th IEEE International Conference on Robot and Human Interactive …, 2025 R Narayanan, MC Cohen, KM Feigh, NJ Cooke, Two Sides of the Same Coin? Joint Perspectives From Shared Mental Models and Interactive Team Cognition Theories on Human-AI Team Cognition, Proceedings of the Human Factors and Ergonomics Society Annual Meeting 69 (1 …, 2025 N Li, J Ren, H Miller, S Coogan, KM Feigh, Y Zhao, Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming, arXiv preprint arXiv:2510.14063, 2025
Lu Gan
School
AE
Phone
+1 404.894.8066
Office
Guggenheim, 448A
Education
Ph.D., Robotics, University of Michigan, 2022; M.S., Robotics, University of Michigan, 2021; M.S., Control Engineering, Beihang University, 2016; B.S., Automation, University of Electronic Science and Technology of China, 2013
Google Scholar
https://scholar.google.com/citations?user=mVY8wE8AAAAJ&hl=en
School Page
https://www.ae.gatech.edu/directory/person/lu-gan
Teaching Interests
Dr. Gan’s course offerings in Aerospace Engineering primarily fall within the Flight Mechanics & Controls curriculum, covering system dynamics modeling, analysis, and control. Her instruction emphasizes the development of students’ analytical and practical skills in designing control systems. Dr. Gan’s additional teaching interests lie in the field of mobile robotics, with a focus on the mathematical foundations underlying robot mobility, including key concepts such as optimization, estimation, and control. In these courses, she aims to provide students with both strong theoretical understanding and practical skill development, complemented by extensive hands-on experience.
Research Interests
Dr. Gan’s research centers on robotics and autonomous systems, including robot perception and estimation, learning-based control, and autonomous navigation. Her work advances the intelligence and robustness of autonomous systems in ground, air, and space applications.
Recent Publications
Z. Yoon, L. Y Zhu, J. Lu, L. Gan, Y. Zhao, "STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain," IEEE Robotics and Automation Letters, vol. 11, no. 2, pp. 2338-2345, 2026. L. Zhao, S. Wei, J. Hays, L. Gan, "GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention," 2026 IEEE International Conference on Robotics and Automation (ICRA), 2026. S. Narayanan, L. Zhao, L. Gan, Y. Chen, “Diffusion-Denoised Hyperspectral Gaussian Splatting," International Conference on 3D Vision (3DV), 2026. F. Xie, S. Wei, Y. Song, Y. Yue, L. Gan, "Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning," Proceedings of the 7th Annual Learning for Dynamics & Control Conference (L4DC), PMLR 283:1392-1405, 2025. D. Butterfield, S. S. Garimella, N.-J. Cheng and L. Gan, "MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception," 2025 IEEE International Conference on Robotics and Automation (ICRA), Atlanta, GA, USA, 2025, pp. 10110-10116.
Brian German
School
AE
brian.german@aerospace.gatech.edu
Phone
404-385-3299
Office
Weber, 313A
Education
B.S., Aerospace Engineering, 1999, Georgia Institute of Technology; M.S., Aerospace Engineering, 2000, Georgia Institute of Technology; Ph.D., Aerospace Engineering, 2007, Georgia Institute of Technology;
Google Scholar
https://scholar.google.com/citations?user=5HHmtisAAAAJ
School Page
https://ae.gatech.edu/directory/person/brian-j-german
Teaching Interests
Professor German’s teaching interests include core aerospace engineering subjects with emphasis on aerospace systems design, dynamics, and control at both undergraduate and graduate levels. He integrates practical problem-solving approaches to prepare students for complex engineering challenges. His instruction supports foundational knowledge and advanced topics, fostering student engagement and technical competence essential for aerospace engineering practice and research.
Research Interests
Professor German’s research focuses on the design, analysis, and operation of aerospace vehicles and systems, including rotorcraft dynamics and control. His work explores the interaction of mechanical and control systems to enhance vehicle performance and safety. Research efforts involve modeling, simulation, and experimental validation to address challenges in aerospace vehicle dynamics, stability, and control, contributing to advancements in aerospace system reliability and efficiency.
Kelly Griendling
School
AE
Phone
+1 (404) 894-2000
Office
Montgomery Knight, 409
Education
Education B.S., Aerospace Engineering, 2006, Georgia Institute of Technology; M.S. Aerospace Engineering, 2008, Georgia Institute of Technology; Ph.D. Aerospace Engineering, 2011, Georgia Institute of Technology.
School Page
https://ae.gatech.edu/directory/person/kelly-griendling
Teaching Interests
Dr. Griendling’s teaching interests center on undergraduate aerospace engineering, with a focus on helping students build a durable foundation in core aerospace principles while strengthening their analytical and problem-solving skills. Her teaching emphasizes connecting theory to practice so students can apply concepts in realistic, engineering-focused contexts rather than treating them as isolated equations. She is especially interested in active, hands-on, and collaborative approaches—using structured in-class activities, labs, and projects (including simulation- and design-focused experiences) to make abstract ideas tangible and engaging. Her instruction also deliberately reinforces the professional skills that underpin effective engineering practice, including communication, teamwork, ethics, and sustainability, so students leave her courses better prepared for the technical and human challenges of the field.
Research Interests
Professor Griendling’s research interests bridge aerospace engineering practice and engineering education. She is particularly focused on developing and studying curricular and pedagogical approaches that help students become “whole engineers,” connecting technical learning to professional identity, ethical responsibility, and real-world value. Her work emphasizes experiential, hands-on learning and reflective practices that make abstract concepts tangible and support deeper student engagement. She is also interested in scalable course and program innovations—such as project-based outreach and alternative assessment structures—that strengthen learning, feedback, and student success across a wide range of educational settings.
Recent Publications
Kali Morgan, Kelly Griendling, Stephen Ruffin, J. Kinney, Work-in-progress: Reflection & Projection: An Exploration of a Scavenger Hunt Assignment in an Introduction to Aerospace Engineering Course, 2024 DOI: 10.18260/1-2--41817 Kelly Griendling, How does the International Space Station orbit Earth without burning up?, 2024 DOI: 10.64628/aai.3xfxsfpv4 Claudio DiLeo, Kelly Griendling, Kali Morgan, Mayuresh Patil, Jerry Seitzman, Adapting the Aerospace Engineering Curriculum to Cultivate the Whole Engineer, 2023 DOI: 10.2514/6.2023-3660 Johnathon Huff, William B. Leonard, Brian Smith, Kelly Griendling, Hugh Medal, NATO Human View Executable Architectures for Critical Infrastructure Analysis, Engineering Management Journal, 2019 DOI: 10.1080/10429247.2019.1656594 Johnathon Huff, Hugh Medal, Kelly Griendling, A model‐based systems engineering approach to critical infrastructure vulnerability assessment and decision analysis, Systems Engineering, 2018 DOI: 10.1002/sys.21460
Brian Gunter
School
AE
brian.gunter@aerospace.gatech.edu
Phone
404-385-2345
Office
ESM, 304
Education
B.S., Mechanical Engineering, 1994, Rice University M.S., Aerospace Engineering, 2000, The University of Texas at Austin; Ph.D., Aerospace Engineering, 2004, The University of Texas at Austin;
Google Scholar
https://scholar.google.com/citations?user=ba8fWHIAAAAJ
School Page
https://ae.gatech.edu/directory/person/brian-c-gunter
Teaching Interests
Professor Gunter's teaching interests include core aerospace engineering subjects at undergraduate and graduate levels, emphasizing fluid mechanics, aerodynamics, and experimental methods. He aims to develop students' analytical and practical skills through classroom instruction and hands-on laboratory experiences. His instruction often integrates principles of fluid dynamics with experimental techniques to prepare students for advanced study and professional practice in aerospace and related fields.
Research Interests
Professor Gunter's research focuses on experimental and computational fluid dynamics with applications to transitional and turbulent flows. His work seeks to enhance understanding of fundamental flow physics through the development and application of measurement and analysis techniques. Research efforts include studying boundary layer transition, flow instabilities, and turbulence modeling to improve predictive capabilities relevant to aerospace systems and fluid mechanics.
Recent Publications
SP Crum, BC Gunter, M Borowitz, Cislunar orbit collision probability analysis, Journal of Spacecraft and Rockets, 1-9, 2025
N Jagdish, BC Gunter, Feasibility study of a cold gas-propelled autonomous surveying vehicle for lunar environments, Frontiers in Space Technologies 6, 1534477, 2025
G Badura, E Arunkumar, M Velez-Reyes, B Gunter, K Ho, Uncertainty-Aware Physics-Informed Machine Learning (PIML) for Cislunar Orbit Determination, The Advanced Maui Optical and Space Surveillance (AMOS) Technologies …, 2025
GP Badura, E Arunkumar, M Velez-Reyes, B Gunter, K Ho, Convergence and Uncertainty of Physics-Informed Machine Learning for Cislunar Orbit Determination, Journal of Spacecraft and Rockets 62 (6), 2212-2231, 2025
KA Lee, BC Gunter, Using Clock Frequency Comparison for Deep Space Navigation, Journal of Spacecraft and Rockets, 1-14, 2025
Wassim Haddad
School
AE
wm.haddad@aerospace.gatech.edu
Phone
404-894-1078
Office
Knight, 415A
Education
B.S., Mechanical Engineering, 1983, Florida Institute of Technology M.S., Mechanical Engineering, 1984, Florida Institute of Technology Ph.D., Mechanical Engineering, 1987, Florida Institute of Technology
Google Scholar
https://scholar.google.com/citations?user=xNtk--EAAAAJ
School Page
https://www.ae.gatech.edu/directory/person/wassim-m-haddad
Teaching Interests
Professor Haddad's teaching interests include control systems, dynamical systems, and applied mathematics, emphasizing theory and applications at both the undergraduate and graduate levels. He focuses on imparting foundational principles in nonlinear systems and stability analysis. His instruction integrates rigorous mathematical frameworks to prepare students for advanced research and practical engineering challenges.
Research Interests
Professor Haddad's research centers on nonlinear control theory, stability theory, dynamical systems, hybrid systems, and stochastic control with applications in aerospace, biomedical, and electrical engineering. His work develops rigorous mathematical approaches to complex system behavior, including stability, robustness, and control analysis and design. Research efforts aim to address fundamental problems in nonlinear system analysis and synthesis, contributing to theoretical advancements and practical methodologies in control and cybernetic system engineering.
Recent Publications
W. M. Haddad and R. Chitre, “Stochastic Thermodynamics, Network Systems, Energy Equipartition, and Information Consensus, International Journal of Control, vol. 99, no. 1, pp. 199-216, 2026. W. M. Haddad and R Chitre, Stabilization and Optimality of Pursuer and Evader Policies for Stochastic Differential Games, Optimal Control Applications and Methods vol. 47, no. 1, pp. 202-217, 2026. W. M. Haddad, K. Verma, and V. Chellaboina, “Fixed Time Stability, Uniform Strong Dissipativity, and Stability of Nonlinear Feedback Systems,” Mathematics, vol. 13, no. 1377, pp. 1-33, 2025. W. M. Haddad, D. Venkat, T. Yucelen, and M. S. Whorton, “Adaptive Control for Nonlinear Cyber-Physical Systems in the Presence of Actuator Attacks,” Nonlinear Analysis: Real World Applications, vol. 84, no. 104302, pp. 1-18, 2025. W. M. Haddad, Q. Hui, and J. Lee, Network Information Systems: A Dynamical Systems Approach. Philadelphia, PA: SIAM Studies in Applied Mathematics, 2023.
Evan Harrison
School
AE
Phone
404-894-0203
Office
Weber, 321C
Education
Ph.D., Aerospace Engineering, Georgia Institute of Technology, 2018 M.S., Aerospace Engineering, Georgia Institute of Technology, 2015 B.S., Aerospace Engineering, Georgia Institute of Technology, 2013
Google Scholar
https://scholar.google.com/citations?user=CesBwf8AAAAJ
School Page
https://ae.gatech.edu/directory/person/evan-harrison
Teaching Interests
Professor Harrison’s teaching interests include undergraduate and graduate courses in aircraft analysis and design, flight mechanics, and aerospace system safety. His instruction emphasizes foundational principles and analytical techniques that underpin the performance of aerospace systems and the impact of novel technologies on aerospace system performance and effectiveness. He engages students through problem-solving approaches and practical applications relevant to aerospace systems and design.
Research Interests
Professor Harrison’s research focuses on the analysis and modeling of novel systems and technologies, emphasizing the impact of novel architectures on operational effectiveness and safety. His work involves theoretical and computational methods to understand dynamic responses of aerospace vehicles and new methods to assess system performance and effectiveness.
Recent Publications
SN Mavridis, ED Harrison, D Mavris, A Modeling and Simulation Framework for Evaluating Aircraft Survivability, AIAA SCITECH 2026 Forum, 1281, 2026 H Mali, J Ahabchane, E Harrison, J Xie, D Mavris, Assessment of Operational Reliability for eVTOL Vehicle Design, AIAA AVIATION FORUM AND ASCEND 2025, 3638, 2025 E Harrison, S Moore, BP Dorca, R D'Cruz, J Ahuja, C Perron, D Mavris, Development and Testing of a Kinetic Formulation for Aircraft Mission Analysis, AIAA AVIATION FORUM AND ASCEND 2025, 3572, 2025 E Harrison, A Baker, T Sundaram, KE Aydin, LV Paulson, MV Bendarkar, ..., Development of a Means of Compliance Model to Support Model-Based Regulatory Analysis, AIAA AVIATION FORUM AND ASCEND 2025, 3067, 2025 J Corman, J Tai, E Harrison, J Ahuja, C Perron, BP Dorca, J D’cruz, ..., NASA Model-Based Systems Analysis and Engineering Final Report, National Aeronautics and Space Administration, 2025
Masatoshi Hirabayashi
School
AE
Phone
404-894-7521
Office
ESM, 207
Education
Ph.D., Aerospace Engineering, University of Colorado Boulder, 2014 M.S., Aerospace Engineering Sciences, University of Colorado Boulder, 2012 M.S., Aeronautics and Astronautics, University of Tokyo, 2010 B.S., Mechanical and Aerospace Engineering, Nagoya University, 2007
Google Scholar
https://scholar.google.com/citations?user=8_qb8h8AAAAJ
School Page
https://ae.gatech.edu/directory/person/masatoshi-toshi-hirabayashi
Teaching Interests
Professor Hirabayashi teaches astrodynamics and space flight technologies, including navigation and operations. He engages students at both undergraduate and graduate levels, emphasizing fundamental principles and practical applications in space exploration missions. He handles courses across a broad spectrum, from theoretical characterizations in astrodynamics, such as Hamiltonian mechanics, to practical, hands-on applications in space. With these different types of courses, he encourages students to foster deeper but broader knowledge of space systems, particularly helpful for future space exploration missions.
Research Interests
Professor Hirabayashi’s research focuses on astrodynamics and its applications to space missions. He has been engaged in detailed theoretical and numerical characterizations of complex dynamical behaviors of space objects. Extending such skills, he has also attempted to improve navigation techniques. Recent efforts include imaging data processing to extract geometric information and support navigation techniques. He is also interested in characterizing thermal and structural properties of planetary bodies, particularly icy objects. With these targets and experiences, he has been part of various space exploration missions. He was part of JAXA/IKAROS, ESA/BepiColombo, JAXA/Hayabusa and Hayabusa2, and NASA/DART. He is currently involved in NASA/Lucy, NASA/VIPER, and ESA/Hera. He also serves as the Interdisciplinary Science Lead of JAXA/Hayabusa2#, leading science investigation on the mission. His key efforts directly contribute to Planetary Defense and In-Situ Resource Utilization (ISRU), interdisciplinary fields that have led recent planetary exploration missions.
Recent Publications
Z. Huang, M. Hirabayashi, and T. M. Orlando, “Micrometeoroid Impacts: Dual Pathways for Iron Reduction and Oxidation on Lunar and Asteroidal Surfaces,” Astrophysical Journal, 994, 240, doi:10.3847/1538-4357/ae19e6. A. Daca, M. Hirabayashi, et al., “The Caltech Mission to Apophis: Accelerating Planetary Science and Planetary Defense,” Planetary Science Journal, 6, 253, 2025, doi: 10.3847/PSJ/ae0caf. M. Hirabayashi, “Prediction of Apophis’s deformation-driven rotational evolution during its closest encounter to the Earth in 2029,” Icarus, 443, 116754, 2025, doi: 10.1016/j.icarus.2025.116754. M. Hirabayashi, et al., “Kinetic deflection change due to target global curvature as revealed by NASA/DART,” Nature Communications, 16, 1602, 2025, doi:10.1038/s41467-025-56010-w M. Hirabayashi, et al., “Crater Equilibrium State Characterization given Crater Production from a Single Power Law,” The Planetary Science Journal, 5, 250, 2024, doi: 10.3847/PSJ/ad8883
Koki Ho
School
AE
Phone
404-894-3078
Office
CODA, 1052B
Education
B.Eng., Aeronautics and Astronautics, 2009, University of Tokyo; M.Eng., Aeronautics and Astronautics, 2011, University of Tokyo; Ph.D., Aeronautics and Astronautics, 2015, Massachusetts Institute of Technology
Google Scholar
https://scholar.google.com/citations?user=p8akSRAAAAAJ
School Page
https://ae.gatech.edu/directory/person/koki-ho
Teaching Interests
Professor Ho’s teaching interests include foundational and advanced courses in aerospace engineering, focusing on space mission design and spaceflight mechanics. He emphasizes developing quantitative analytical skills and practical problem-solving abilities at both undergraduate and graduate levels. His instruction aims to integrate theoretical concepts with real-world aerospace applications. Professor Ho actively engages students in learning experiences that foster critical thinking and a deep understanding of aerospace system behaviors and design methods.
Research Interests
Professor Ho’s research focuses on advancing modeling, optimization, and systems engineering methodologies for complex space missions and infrastructure. His work spans campaign‑level space mission design, in‑space logistics, and the development of frameworks for spacecraft constellations, on‑orbit servicing, and space domain awareness. His research integrates logistics‑based modeling, probabilistic analysis, and network‑driven optimization to enable more resilient and scalable space architectures that support exploration, servicing, and the growth of space‑based infrastructure.
Recent Publications
N Gollins, Z Grieser, K Ho, Multi-Objective Optimization of Space Exploration Campaign Schedules with Stochastic Launch Delay, Journal of Spacecraft and Rockets, 1-19, 2026 M. Isaji, N. Gollins, K. Ho, Global Optimization of Space Mission Concept of Operations and Systems Design via Mixed-Integer Nonlinear Programming, Acta Astronautica, 242, 328-345, 2026 B Cunningham, K Ho, Economic Impact of Priority Queues on Geostationary Satellite Servicing Systems, Journal of Spacecraft and Rockets, 1-7, 2026 Y Shimane, K Ho, A Weiss, Optimization-Based Phase-Constrained x-Axis Crossing Control for Station-Keeping on Libration Point Orbits, The Journal of the Astronautical Sciences 72 (6), 59, 2025 Y Shimane, K Ho, Multi-Sensor Tasking for Ground-Based Space Situational Awareness via Job-Shop Scheduling Problem, The Journal of the Astronautical Sciences 72 (6), 61, 2025
Jechiel Jagoda
School
AE
jeff.jagoda@aerospace.gatech.edu
Phone
404-894-3060
Office
Knight, 321
Education
B.Sc. Physics, Imperial College of Science & Technology, University of London (1971); Ph.D., Combustion Physics, Imperial College of Science & Technology, University of London (1976);
School Page
https://ae.gatech.edu/directory/person/jechiel-jagoda
Teaching Interests
Professor Jagoda's teaching interests include core aerospace engineering courses at the undergraduate and graduate levels, emphasizing the fundamental principles of aerospace structures, dynamics, and materials. His instruction integrates theoretical foundations and practical applications, fostering a comprehensive understanding of aerospace engineering concepts. Professor Jagoda is committed to developing student capabilities through a blend of lectures, problem-solving sessions, and project-based learning experiences.
Research Interests
Professor Jagoda's research focuses on the mechanics and behavior of advanced aerospace materials and structures. His work involves investigating the mechanical properties, durability, and failure mechanisms of materials used in aerospace applications. Emphasis is placed on experimental and computational methods to understand material responses under various loading conditions, aiming to improve structural performance and reliability in aerospace systems.
Kai James
School
AE
Phone
404.894.9416
Office
CODA, E1068B
Education
PhD, University of Toronto, Aerospace Engineering, 2012; M.A.Sc., University of Toronto, 2006
Google Scholar
https://scholar.google.com/citations?user=CdazOWQAAAAJ
School Page
https://ae.gatech.edu/directory/person/kai-james
Teaching Interests
Professor James’ teaching interests encompass foundational and advanced courses in aerospace engineering, emphasizing structural mechanics, and computational methods. He engages students at both undergraduate and graduate levels, fostering analytical skills and practical understanding. His instruction integrates theoretical concepts with applied problem-solving, aiming to prepare students for research and professional practice in aerospace disciplines.
Research Interests
Professor James’ research focuses on computational studies in solid mechanical and design optimization. His work investigates complex systems relevant to aerospace applications, including aircraft structures, electrothermal systems, and fundamental mechanical systems. He employs multidisciplinary approaches to enhance understanding of aerodynamic performance and efficiency, contributing to advancements in aerospace systems design and optimization.
Recent Publications
P Ranjan, W Zheng, K James, A systematic investigation of Interior Point methods for aerodynamic shape optimization, Aerospace Science and Technology, 110302, 2025 WB Bello, SRT Peddada, A Bhattacharyya, LE Zeidner, JT Allison, KA James, Multi-Physics Three-Dimensional Component Placement and Routing Optimization Using Geometric Projection, Journal of Mechanical Design, 146(8):081702, 2024 LR Alacoque, A Bhattacharyya, KA James, Compliant Mechanism Synthesis Using Nonlinear Elastic Topology Optimization With Variable Boundary Conditions, International Journal for Numerical Methods in Engineering, e7613, 2024 LR Alacoque, RW Bulliet, KA James, Reconstructing the invention of the wheel using computational structural analysis and design, Royal Society Open Science 11(10), 240373, 2024 A Bhattacharyya, JY Kim, LR Alacoque and KA James, Design Synthesis of a 4D-Printed Self-Tying Knot with Programmable Morphology. Journal of Mechanical Design, 146(6):063303, 2024.
Carl Johnson
School
AE
Phone
404-385-2366
Office
Weber SST, 101
Education
M.S., Aerospace Engineering, Georgia Institute of Technology, 2007 B.S., Aerospace Engineering, University of Kansas, 2003
School Page
https://ae.gatech.edu/directory/person/carl-c-johnson
Teaching Interests
Carl Johnson’s teaching is focused on multi-disciplinary courses at the undergraduate level. This includes vehicle performance, fixed wing aircraft design, and design competition courses that involve the design, building and testing of small unmanned aircraft systems. Mr. Johnson’s teaching approach is focused on developing future engineers with a practical understanding of highly complex problems and how all of the aspects of a complex problem interact with each other.
Research Interests
Carl Johnson’s research interest is focused on methodologies for aircraft performance, sizing and flight dynamics. This includes small unmanned aircraft systems, fixed wing vehicles, vertical lift and hybrid configurations. Potential operating environments include both Earth’s atmosphere in addition to non-terrestrial environments with atmospheres.
Recent Publications
1) Johnson, C. and Tai, J.C. "Evaluation of Mission and Configuration Effectiveness Employing Active Flow Control (AFC) Technologies," AIAA 2023-2626. AIAA SCITECH 2023 Forum. January 2023. 2) Vukasinovic, B., Funk, R. B., Johnson, C. and Glezer, A. "Circulation Control of a Channel Wing Using Discrete Coanda Actuation," AIAA 2024-3796. AIAA AVIATION FORUM AND ASCEND 2024 . July 2024. 3) Cooperider, W.S., Bermudez-Rivera, R., Vallejos, J., Pingree, G., Johnson, C., and Mavris, D. "Using Discrete Event Simulation to Define Requirements for Autonomous Aeromedical Evacuation Vehicles in Combat," AIAA 2025-1430. AIAA SCITECH 2025 Forum. January 2025. 4) Obero, T., Masset, A., Paulson, L., Himdi, N., Garces, C., Johnson, C., Ahuja, J., and Mavris, D. "Sizing Analysis for Non-Terrestrial Aircraft," AIAA 2025-2731. AIAA SCITECH 2025 Forum. January 2025. 5) J. L. O. Solano et al., "A Systems Engineering Approach Enabling Multi-Domain Robotic Field Testing: the Unmanned Collaborative Research Testbed," OCEANS 2025 - Great Lakes, Chicago, IL, USA, 2025, pp. 1-10, doi: 10.23919/OCEANS59106.2025.11245088.
Carl Christopher Johnson
School
AE
Sriram Parthasarath Kalathoor
School
AE
Phone
470 424 6777
Office
Montgomery-Knight, 212
Education
PhD (Aerospace Engineering, Georgia Institute of Technology, 2026 in-progress); M.S. (Mathematics, Georgia Institute of Technology, 2022); M.S. (Mechanical Engineering, Georgia Institute of Technology, 2022), M.S. (Aerospace Engineering, Indian Institute of Technology Madras, 2017); B.S. (Mechanical Engineering, SRM University, 2013)
Teaching Interests
Professor Kalathoor's teaching interests encompass core aerospace engineering courses at both undergraduate and graduate levels, including fluid dynamics, aerodynamics, propulsion, and aircraft performance. He emphasizes integrating theoretical foundations with practical problem-solving skills. His teaching approach encourages student engagement and development of analytical capabilities across aerospace systems and design principles, supporting a comprehensive understanding essential for advanced study and professional practice in aerospace engineering.
Research Interests
Professor Kalathoor's research focuses on the computational and analytical study of fluid flows across the broad spectrum of combustion, turbulence, and aerodynamics.. His work explores numerical methods, turbulence modeling, combustion dynamics, and noise/emissions reduction mechanisms to enhance efficiency and sustainability of propulsion systems. This research contributes to improved design methodologies and performance prediction tools in aerospace engineering, fostering advancements in propulsion technologies and fluid mechanics fundamental to aircraft and spacecraft operation.
Recent Publications
1. Coherent structure analysis in a backward facing step, Sriram Kalathoor, Doğukan Karahan and Cansu Uzay Karahan, Bulletin of the American Physical Society, 2024 2. Chemical analysis of emission characteristics in bluff body stabilized turbulent premixed methane-air lames, Anant Girdhar, Sriram Kalathoor and Jechiel Jagoda, Bulletin of the American Physical Society, 2024 3. A numerical study of emission characteristics in bluff body stabilized turbulent premixed methane-air flames in confined environments, Anant Girdhar, Sriram Kalathoor, Jechiel Jagoda and Lakshmi Sankar, Proc. ASME Turbo Expo 2024, GT2024-126815, pp. V03AT04A075, London. DOI: 10.1115/GT2024-126815 4. On the dynamics of combustion instability, transition, and turbulence in the GTRE Kaveri afterburner, MS Thesis, Sriram Kalathoor, IIT Madras, 2018 5. Multi-scale computational simulation of combustion instability and transition in a model afterburner, Sriram Kalathoor and Satyanarayanan Chakravarthy, Proc. ASME Turbo Expo 2017, GT2017-63805, pp. V04AT04A049, Charlotte. DOI: 10.1115/GT2017-63805
George Kardomateas
School
AE
george.kardomateas@aerospace.gatech.edu
Phone
404-894-8198
Office
Weber, 200B
Education
Diploma (B.Sc.), Mechanical Engineering, 1981, National Technical University of Athens; M.Sc., Mechanical Engineering, 1982, Massachusetts Institute of Technology; Ph.D., Mechanical Engineering, 1985, Massachusetts Institute of Technology;
Google Scholar
https://scholar.google.com/citations?user=ILAUvjsAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/george-kardomateas
Teaching Interests
Professor Kardomateas' teaching interests emphasize advanced topics in applied mechanics and aerospace structural analysis. His instruction covers graduate and undergraduate courses related to structural dynamics, elasticity, and composite materials. He integrates theoretical foundations with computational methods to prepare students for research and professional practice in aerospace engineering. His teaching approach fosters critical thinking and problem-solving skills essential for understanding complex structural behaviors.
Research Interests
Professor Kardomateas' research focuses on the mechanics of advanced aerospace materials and structures, including composites and multifunctional materials. His work involves the analysis of structural dynamics, damage assessment, and the development of modeling approaches to predict the behavior of complex aerospace systems under various loading conditions. His research aims to enhance the structural performance and reliability of aerospace components through experimental, analytical, and computational methods.
Recent Publications
Z Hao, X Wang, H Ke, G Wei, G Kardomateas, L Liu, Experimental and numerical investigation on the size effect of interlaminar shear strength for thick composites, Composite Structures 353, 118710, 2025
Z Yuan, GA Kardomateas, High-Order Theory Approach for Debonded Sandwich Panels—Part II: Energy Release Rate and Mode Mixity, Journal of Applied Mechanics 92 (2), 021007, 2025
Z Yuan, GA Kardomateas, High-Order Theory Approach for Debonded Sandwich Panels—Part I: Formulation and Displacement Fields, Journal of Applied Mechanics 92 (2), 021006, 2025
L Deng, Z Hao, H Ke, H Wang, G Kardomateas, L Liu, Anisotropic failure analysis of 2.5-D braided composites under compression, Composite Structures 338, 118130, 2024
MH Nguyen, GA Kardomateas, Elastic foundation solution for the end-notched flexure mode II sandwich configuration, Journal of Applied Mechanics 91 (11), 111006, 2024
Graeme Kennedy
School
AE
graeme.kennedy@aerospace.gatech.edu
Phone
404-894-9811
Office
Weber, 204
Education
Ph.D., Aerospace Engineering, University of Toronto Institute for Aerospace Studies, 2012; M.A.Sc., Aerospace Engineering, University of Toronto Institute for Aerospace Studies, 2007; B.A.Sc., Engineering Science, University of Toronto, 2005;
Google Scholar
https://scholar.google.com/citations?user=LHqGhxkAAAAJ
School Page
https://ae.gatech.edu/directory/person/graeme-james-kennedy
Teaching Interests
Professor Kennedy's teaching interests include courses in aerospace engineering fundamentals at both undergraduate and graduate levels. He emphasizes core topics such as structures, systems engineering and design optimization. His instructional approach integrates theoretical principles with practical applications to prepare students for advanced study and professional development in aerospace engineering.
Research Interests
Professor Kennedy's research interests focus on the development and application of numerical optimization techniques to structural and multidisciplinary design problems, with a primary focus on the analysis and design of fixed-wing aircraft.
Recent Publications
AC Gray, J Martins, F Volle, BJ Burke, S Engelstad, G Kennedy, Comparisons of Results for a High-fidelity Aeroelastic Optimization Benchmark Problem, AIAA SCITECH 2026 Forum, 0762, 2026 SP Engelstad, G Kennedy, Scalable Multigrid Methods for Nonlinear Shell Problems on GPUs: Performance and Locking Mitigation, AIAA SCITECH 2026 Forum, 0150, 2026 SP Engelstad, VK Goyal, G Kennedy, Analytic Solutions for Clamped Nonlinear Mindlin Plates to Predict Sandwich Structure Debonding, AIAA SCITECH 2026 Forum, 0844, 2026 G Kennedy, M Soltane, Implicit Multidisciplinary Optimization Problems: Algorithms for GPU Acceleration and Applications, AIAA SCITECH 2026 Forum, 2397, 2026 BJ Burke, G Kennedy, JE Hicken, Computational Fluid Dynamics for Optimization Using a Summation-by-Parts Discretization and Automatic Differentiation, AIAA SCITECH 2026 Forum, 0146, 2026
Dan Lev
School
AE
Hui Qing Li
School
AE
Phone
404-894-9197
Office
Guggenheim, 448B
Education
Ph.D. in Aeronautics and Astronautics, University of Washington 2023 B.A.Sc in Engineering Physics with a minor in Honors Mathematics, University of British Columbia 2017.
Google Scholar
https://scholar.google.com/citations?user=yZhro2IAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/sarah-hq-li
Teaching Interests
Professor Li’s teaching interests encompass undergraduate and graduate courses in control theory, dynamic games, and convex optimization. She is dedicated to preparing students with a solid foundation in theoretical and applied aspects of modeling, problem-solving skills, and integrating computational and experimental methods. Her teaching approach supports active student engagement across core and advanced curriculum components.
Research Interests
Professor Li’s research focuses on decision-making and control for interacting autonomous systems under uncertainty. She develops game-theoretic, optimization, and learning-based methods to coordinate multi-agent cyber-physical systems when intentions and environments are partially observed. Her work targets aerospace systems, space traffic management, transportation, and robotics, emphasizing robustness, incentive-compatible mechanisms, and uncertainty-aware performance guarantees, using formal methods, stochastic models, and scalable algorithms for safety-critical, networked autonomy at scale.
Recent Publications
T Karampela, R Seshadri, F Dorfler, SH Li, MPC for momentum counter-balanced and zero-impulse contact with a free-spinning satellite, AIAA SCITECH 2026 Forum, 0407, 2026 J Corbin, SHQ Li, J Rogers, Allocating Corrective Control to Mitigate Multi-agent Safety Violations Under Private Preferences, arXiv preprint arXiv:2601.12616, 2026 F Ferrara, LWS Arana, F Dörfler, SHQ Li, A Markov Decision Process Framework for Early Maneuver Decisions in Satellite Collision Avoidance, AAS Boston, 2025 SV Sangeetha, CY Chiu, SHQ Li, S Kousik, Language Conditioning Improves Accuracy of Aircraft Goal Prediction in Untowered Airspace, ICRA 2026 C Salinas-Rodriguez, J Rogers, SHQ Li, When the Correct Model Fails: The Optimality of Stackelberg Equilibria with Follower Intention Updates, arXiv preprint arXiv:2511.07363, 2025
Tim Charles Lieuwen
School
AE
Edgar Lightsey
School
AE
Phone
404-385-4146
Office
ESM, 110A/B
Education
B.S.E - Princeton University - Mechanical & Aerospace Engineering; M.S. - Johns Hopkins University - Electrical Engineering; Ph.D. - Stanford University - Aeronautics & Astronautics;
Google Scholar
https://scholar.google.com/citations?user=EFUhzfYAAAAJ
School Page
https://ae.gatech.edu/directory/person/edgar-glenn-lightsey
Teaching Interests
Professor Lightsey’s teaching interests include undergraduate and graduate courses in aerospace systems design, space missions, and spacecraft dynamics. He focuses on imparting foundational knowledge in aerospace engineering while integrating practical problem-solving skills. His teaching emphasizes systems engineering principles applied to the analysis and design of complex aerospace vehicles, engaging students across multiple levels to develop both theoretical understanding and hands-on expertise.
Research Interests
Professor Lightsey’s research centers on spacecraft systems engineering with an emphasis on design, control, and integration of spacecraft and satellite systems. His work addresses the development of reliable space mission architectures and innovations in spacecraft dynamics and control. The research involves multidisciplinary approaches to complex aerospace challenges, fostering collaboration across systems, sensors, and controls to advance the performance and capabilities of space platforms.
Recent Publications
DN Ramsey, R Parnerkar, E Wang, R Paladugu, A Noel, G Lightsey, ..., Preliminary Design and Analysis of the HyperSat using CubeSat Technologies, AIAA SCITECH 2026 Forum, 1561, 2026
KK Ahuja, A Noel, B Mindiak, N Breen, BE Robertson, J Dec, RB Funk, ..., HyperSat: An Innovative, High-Cadence, Hypersonic Flying Testbed, AIAA SCITECH 2026 Forum, 1559, 2026
M Hartigan, F Garcia, EG Lightsey, S Stewart, Navigation Filter Design for an LCRNS Receiver during Lunar Powered Descent and Landing, Proceedings of the 38th International Technical Meeting of the Satellite …, 2025
T Mina, A Thrasher, M Hartigan, J Leonard, S Stewart, P Antreasian, ..., Preliminary Navigation System Design for the First LCRNS Satellite Providing Lunar PNT Services, Proceedings of the 38th International Technical Meeting of the Satellite …, 2025
JW Dankanich, NJ Williams, CG Burnside, AR Bruno, PC Lozano, ..., Green Propulsion Dual Mode (GPDM) Path to Flight, 39th International Electric Propulsion Conference (IEPC), 2025
Jose Messias Magalhaes Junior
School
AE
Phone
(404) 820-4227
Office
Guggenheim, 447A
Education
PhD , Robotics, Georgia Institute of Technology (2023) MSc, Aerospace Engineering, Georgia Institute of Technology (2019) MSc, Air Transportation, Instituto Tecnologico de Aeronautica (ITA - Brazil) MEng, System Engineering, Instituto Tecnologico de Aeronautica (ITA - Brazil) BSc., Electrical Engineering, Instituto Militar de Engenharia (IME -Brazil)
Google Scholar
https://scholar.google.com/citations?user=w5tvCO4AAAAJ
School Page
https://ae.gatech.edu/directory/person/jose-magalhaes
Teaching Interests
Professor Magalhaes’ teaching focuses on aerospace systems engineering and dynamics, including guidance, navigation, and control at both undergraduate and graduate levels. His instruction emphasizes the integration of theory and practice to prepare students for complex aerospace challenges and fosters student engagement through applied learning and research-driven coursework.
Research Interests
Professor Magalhaes’ research centers on aerospace systems engineering, with particular emphasis on guidance, navigation, and control of aerospace vehicles. His work includes the development of advanced modeling and control methodologies aimed at improving the performance, stability, and autonomy of aerospace systems across various flight regimes.
Recent Publications
JM Magalhaes, N Tukenmez, K Vamvoudakis, F Fotiadis, A Homaifar, ..., A Comprehensive Review of Trajectory Planning in Swarm Drones: Methods, Challenges, and Future Directions, AIAA SCITECH 2026 Forum, 1769, 2026 Ricardo F. Silva, Jose M. Magalhaes and Karen M. Feigh, Advancing Conjunction Analysis in SDA Through Hypothesis Reasoning and Analytical Fusion, AIAA SCITECH 2026 Forum, AIAA 2026-0160 Joel Elze, Jose M. Magalhaes, Pedro Jose G. Ramirez and Flavio J. Silvestre. Learning-Based Output Feedback MPC and Q-Learning for Flutter Suppression, AIAA SCITECH 2026 Forum, AIAA 2026-1319 V Silva Figueredo, GL Olichevis Halila, L Kiyoshi Araki, JM Magalhaes, ..., Nonparallel, Nonlocall Flow Stability Analysis Through a Physics-Informed Data-Driven Approach, AIAA AVIATION FORUM AND ASCEND 2025, 3771, 2025 JM Magalhaes, L Zhai, F Fotiadis, A Kanellopoulos, KG Vamvoudakis, ..., Real-Time and Experimental Reactive and Proactive Defense in a Multi-Agent Scenario, AIAA SCITECH 2024 Forum, 0343, 2024 V Silva Figueredo, GL Olichevis Halila, J Messias Magalhães Júnior, ..., A Physics-Informed Data-Driven Approach for Boundary Layer Flows, AIAA AVIATION FORUM AND ASCEND 2024, 4349, 2024 ÍR de Oliveira, JM Magalhães, DCS dos Reis, B Leão, A De Conto, ..., Capacity analysis of offshore helicopter traffic in Southeast Brazil, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC), 1B1-1-1B1-14, 2015
Jose Messias Magalhaes Junior
School
AE
Sandra Magnus
School
AE
Phone
+1 404.894.2000
Education
B.S., Physics, 1996, Missouri University of Science and Technology; M.S., Electrical Engineering, 1990, Missouri University of Science and Technology Ph.D., Materials Science and Engineering, 1996, Georgia Institute of Technology
School Page
https://ae.gatech.edu/directory/person/sandra-sandy-magnus
Teaching Interests
Professor Magnus’ teaching interests include foundational aerospace engineering topics at both undergraduate and graduate levels, with emphasis on dynamics, spacecraft systems, and the application of engineering principles to space exploration. Her instruction aims to integrate practical and theoretical knowledge to prepare students for careers in aerospace and related industries.
Research Interests
Professor Magnus’ research focuses on the development and application of advanced spacecraft systems and technologies. Her work encompasses human spaceflight, systems engineering, and multidisciplinary approaches to space mission design and operations, advancing understanding of the challenges in long-duration space exploration and vehicle performance.
Christopher Maston
School
AE
Phone
404-375-3595
Office
Remote (MK)
Education
ME, Engineering Management, University of Nebraska; (2013) MS, Flight Test Engineering, Air University (US Air Force Test Pilot School); (2011) BS, Aerospace Engineerinng, Georgia Tech (2004)
Teaching Interests
Professor Maston’s teaching centers on foundational and practical applications of flight test & aerospace engineering courses at both undergraduate and graduate levels. His instruction emphasizes the application of engineering principals in flight and in engineering flight simulation. Professor Maston actively involves students in professional and real world flight operations.
Research Interests
Professor Maston’s research focuses on advancing flight test engineering relevant to aerospace vehicles. His work includes the use of advanced scientific and technical methods applied to system performance predictions, characterization, and test optimization. Employing experimental and computational methods, Professor Maston aims to enhance understanding of test engineering and the validation of the design of aerospace systems through multidisciplinary approaches.
Dimitrios Mavris
School
AE
dimitri.mavris@aerospace.gatech.edu
Phone
404-894-1557
Office
Weber, 301A
Education
B.S., Aerospace Engineering, 1984, Georgia Institute of Technology; M.S. Aerospace Engineering, 1985, Georgia Institute of Technology; Ph.D., Aerospace Engineering, 1988, Georgia Institute of Technology;
Google Scholar
https://scholar.google.com/citations?user=O1fZArcAAAAJ&hl=en
School Page
https://www.ae.gatech.edu/directory/person/dimitri-mavris
Teaching Interests
Professor Mavris' teaching focuses on aerospace systems design and analysis across at the graduate. He emphasizes multidisciplinary engineering principles, systems engineering methodologies, and decision-making processes to prepare students for complex aerospace challenges. His instruction integrates practical applications with theoretical foundations, fostering critical thinking and innovation in aerospace engineering education.
Research Interests
Professor Mavris' research centers on aerospace systems architecture and design optimization. He investigates methodologies for conceptual and preliminary design, uncertainty quantification, and system-level performance assessment. His work seeks to improve decision-support tools and frameworks that enhance the design process for complex aerospace vehicles and systems, integrating multidisciplinary considerations and computational approaches.
Recent Publications
Yarbasi, E.Y., and Mavris, D., “Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation,” AIAA Journal, 2025. Felix, B.S., Perron, C., Ahuja, J., and Mavris, D.N., “Parametric Reduced-Order Model Drag Polars for Supersonic Transport Conceptual Design,” Journal of Aircraft, 2025. Roush, K., and Mavris, D.N., “Adaptability in Aerospace: A Historic MOSA Perspective from the Space Shuttle Program,” Journal of Spacecraft and Rockets, Articles in Advance, 2025. Pattanayak, T., Gautier, R., and Mavris, D., “Hybrid-electric Turboprop Performance under Battery Degradation: An Uncertainty Quantification Study,” Aerospace Science and Technology,2026. Herman, M., Pinon-Fischer, O., and Mavris, D., “Sun Sensor Calibration Algorithms: A Systematic Mapping and Survey,” Acta Astronautica, 2026.
Chance McColl
School
AE
Phone
+1 404.894.2000
Office
ESM, 203A
Education
PhD - Georgia Institute of Technology (2012) MSAE - Georgia Institute of Technology (1993) BSAE - University of Colorado at Boulder(1992)
School Page
https://ae.gatech.edu/directory/person/chance-c-mccoll
Teaching Interests
Professor McColl's teaching interests include foundational and advanced topics in aerospace engineering, with an emphasis on fluid mechanics, aerodynamics, and computational methods. His instruction targets both undergraduate and graduate students, aiming to develop strong analytical and problem-solving skills. He integrates current research perspectives to enhance learning and encourages student engagement in practical and theoretical aspects of aerospace systems and their design considerations.
Research Interests
Professor McColl's research centers on the development and application of computational fluid dynamics and experimental techniques to investigate high-speed and compressible flows. His work addresses challenges in aeroelasticity, turbulence modeling, and flow control, with a focus on improving predictive capabilities for complex aerospace systems. The research actively involves collaboration with students to advance understanding of flow physics and to develop innovative solutions relevant to aerospace engineering.
Suresh Menon
School
AE
suresh.menon@aerospace.gatech.edu
Phone
404-894-9126
Office
Guggenheim, 351
Education
B.S., Aeronautical Engineering, 1976, Indian Institute of Technology; M.S., Aeronautical Engineering, 1978, Indian Institute of Technology; Ph.D., Aerospace Engineering, 1984, University of Maryland;
School Page
https://ae.gatech.edu/directory/person/suresh-menon
Teaching Interests
Professor Menon's teaching interests encompass core aerospace engineering subjects at both undergraduate and graduate levels, including fluid dynamics, combustion, turbulence, and computational methods. His instruction emphasizes fundamental principles and their application to complex propulsion problems, fostering analytical and numerical skills in students. He integrates research insights to enhance learning and actively engages graduate and undergraduate students in research-related coursework.
Research Interests
Professor Menon's research focuses on turbulence modeling, combustion, computational fluid dynamics, and reduced order modeling. His work aims to improve the understanding of turbulent flows and their interaction with propulsion devices, employing advanced numerical simulations and theoretical approaches. This research supports the development of predictive tools for flow and combustion behavior and in aerospace applications, involving multidisciplinary studies that incorporate physics-based modeling and high-performance computing.
Recent Publications
1. Panchal, A. Bryngelson, S., and Menon, S. “A Seven-Equation Diffused interface method for resolved Multiphase Flows,” Journal of Computational Physics, Vol. 475, pp. 111870, 2023 2. Salvadori, M. and Panchal, A. and Menon, S. “Simulation of Wave Mode Switching in a Rotating Detonation Engine with Gaseous and Liquid Fuel,” Aerospace Science and Technology, vol. 47,109008, 2024. 3. Fries, D, Ranjan, D. and Menon, S., “Molecular Weight and Specific heat ratio effect on Convective Mach number, Entrainment, and mixing in Jets in Supersonic Crossflow,” Physics of Fluids, 37, 125111,2025. 4. Panchal, A. and Menon, S. “Numerical Characterization of Post-detonation Re-shock Driven MIxing in Explosions,” Physical Review Fluids, vol.10, 074502, 2025. 5. Karpe, S. and Menon, S., “Modeling uncertainties in primary zone soot predictions for a rich-quench lean-burn combustion system,” Proceeding of the Combustion Institute, Vol 42, 105805, 2025
Keegan Moore
School
AE
Phone
(330) 635-8426
Office
Weber, 211B
Education
Ph.D., University of Illinois at Urbana-Champaign, 2018; B.Sc., University of Akron, 2014.
Google Scholar
https://scholar.google.com/citations?user=hn0_YzMAAAAJ
School Page
https://ae.gatech.edu/directory/person/keegan-j-moore
Teaching Interests
Professor Moore is dedicated to transforming the engineering classroom through evidence-based active learning and collaborative gamification. His educational philosophy centers on "learning from failure" and fostering deep conceptual intuition over pure memorization. In his undergraduate courses, such as Dynamics (AE 2220) and System Dynamics & Vibrations (AE 3530), he replaces traditional passive lectures with team-based worksheets that guide students through complex derivations and problem-solving strategies in real-time. A key component of his teaching is the integration of immersive technology. Supported by his NSF CAREER Award, Professor Moore is developing a Virtual Reality Dynamics Laboratory utilizing platforms like WebXR and Unity. This initiative allows students to visualize and manipulate abstract dynamical concepts—such as harmonic oscillators and particle kinematics—in a familiar, interactive environment. Beyond the mechanics of dynamics, Professor Moore emphasizes collaborative engineering. He has used role-based gamification and iterative assignment structures to encourage teamwork and reduce the anxiety often associated with difficult engineering subjects. His teaching interests extend to Data-Driven Nonlinear Dynamics and Vibrations, drawing on his extensive course development experience to equip students with the theoretical and computational tools necessary for modern aerospace analysis.
Research Interests
Professor Moore directs the Moore Dynamics and Analytics Laboratory (MoDAL), where he combines theory, computational modeling, and autonomous experimentation to exploit strongly nonlinear dynamical phenomena. His research vision is to place nonlinear dynamics in the toolbox of every engineer, addressing the estimated $1 trillion annual industrial loss caused by structural failures and suboptimal designs that arise from ignoring nonlinearity. His group’s work is defined by four primary thrusts: • Digital Engineering & Autonomy: Developing synchronous, feedback-driven frameworks that allow digital models and physical experiments to "talk" to one another, enabling autonomous model updating and self-optimizing test designs (supported by the AFOSR). • Tribomechadynamics: Investigating the "evolution of nonlinearities" over a structure’s lifetime, specifically how dynamics drive the loosening of bolted joints and damage progression (supported by an NSF CAREER Award). • Physics-Informed System ID: Creating "white-box" machine learning algorithms that reverse-derive interpretable governing equations of motion directly from noisy experimental data. • Vibration Mitigation: Designing novel Two-Dimensional Nonlinear Vibration Absorbers (2D-NVA) to suppress multi-modal instabilities in next-generation aircraft with Ultra-High-Aspect-Ratio (UHAR) wings (sponsored by NASA).
Recent Publications
1. C. López, A. Singh, Á. Naranjo, K.J. Moore. “A Data-Driven, Energy-based Approach for Identifying Equations of Motion in Vibrating Structures Directly from Measurements,” Mechanical Systems and Signal Processing, Vol. 225, 112341, 2025. 2. C. López, Á. Naranjo, D. Salazar, K.J. Moore. “Weak-form modified sparse identification of nonlinear dynamics,” Journal of Computational Physics, Vol. 521, 113539, 2025. 3. C. López, K.J. Moore. “Energy-based dual-phase dynamics identification of clearance nonlinearities,” Nonlinear Dynamics, Vol. 113, 17933-17948, 2025. 4. B.J. Chang, L.A. Bergman, K.J. Moore, W.A. Silva, A.F. Vakakis. “Nonlinear Modal Interaction Identification in KTH-NASA Generic Fighter in Supersonic Flow in Transonic Dynamics Tunnel,” AIAA Journal, 2024. 5. J.D. Brown, M. Mustafa, K.J. Moore. “Vibration Mitigation of a Model Aircraft with High-Aspect-Ratio Wings Using Two-Dimensional Nonlinear Vibration Absorbers,” International Journal of Non-Linear Mechanics, Vol. 167, 104878, 2024.
Zsolt Jay Nagy
School
AE
Phone
+1 404.894.2000
Office
Montgomery Knight, 421A
Education
Ph.D. Cognitive Systems Engineering, University of Southern Queensland, 2024; M.Sc. (Dipl-Ing) Aerospace Engineering, Technical University of Budapest, 1996
School Page
https://ae.gatech.edu/directory/person/jay-nagy
Teaching Interests
Professor Nagy’s teaching interests include advanced topics in aerospace engineering, with a focus on design for safety, control systems design, and aircraft integration and testing. His instruction emphasizes the application of academic knowledge to real world design challenges, aiming to develop job-ready aerospace engineering graduates.
Research Interests
Professor Nagy’s research focuses on the failure of complex socio-technical systems. His work involves novel system safety methodologies and the study of accidents that involve joint cognitive systems, contributing to improved safety outcomes during routine and non-routine flight operations.
Zsolt Jay Nagy
School
AE
Yashwanth Nakka
School
AE
Phone
+1 404.894.2000
Office
ESM Building, 305
Education
Ph.D. in Space Engineering - California Institute of Technology 2017 - 2021 M.S. in Space Engineering - California Institute of Technology 2016-2017 M.S. in Aerospace Engineering - University of Illinois Urbana-Champaign 2014-2016 B.Tech in Aerospace Engineering - Indian Institute of Space Science Technology 2007 - 2011
Google Scholar
https://scholar.google.com/citations?user=Bo3Uu-gAAAAJ
School Page
https://ae.gatech.edu/directory/person/yashwanth-kumar-nakka
Teaching Interests
Professor Nakka's teaching interests encompass foundational and advanced courses in algorithm and system development for autonomous aerospace systems, focusing on motion planning (guidance), nonlinear control under uncertainty. He is committed to enhancing student learning through a combination of theoretical instruction and practical applications through robotic systems development for space exploration. His teaching philosophy emphasizes engaging both undergraduate and graduate students in problem-solving and critical thinking to prepare them for challenges in aerospace engineering.
Research Interests
Professor Nakka's research broadly focuses on designing aerospace autonomous systems, spacecraft autonomy, planning (guidance) under uncertainty, and nonlinear dynamics and control. At the heart of his work is a fundamental question: How can robotic systems make intelligent decisions in the face of uncertainty, while ensuring safety, robustness, and mission success? To answer this, we develop advanced approaches to formulate and solve information-cost stochastic optimal control problems. We rely on theories from nonlinear control, distributional robustness, convex optimization, and probability theory.
Recent Publications
1) Akshita Gupta, Arna Bhardwaj, Nakka, Yashwanth Kumar, Changrak Choi, and Amir Rahmani. Information-driven fault detection and identification for multi-agent spacecraft systems: Collaborative on-orbit inspection mission. In Hever Moncayo, editor, Advances in Intelligent Fault-Tolerant Aerospace Systems & Applications (Accepted), chapter XX, pages pp. XXX–XXX. American Institute of Aeronautics and Astronautics (AIAA), Reston, VA, USA, 2025. Section: Intelligent Health Monitoring, 2) Tsukamoto, Hiroyasu, Soon-Jo Chung, Yashwanth Kumar Nakka, Benjamin Donitz, Declan Mages, and Michel Ingham. "Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects." Journal of Guidance, Control, and Dynamics 47, no. 12 (2024): 2525-2543. 3) Vaquero, Tiago Stegun, Guglielmo Daddi, Rohan Thakker, Michael Paton, A. Jasour, Marlin P. Strub, R. Michael Swan et al. "EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration." Science robotics 9, no. 88 (2024): eadh8332. 4) de la Croix, Jean-Pierre, Federico Rossi, Roland Brockers, Dustin Aguilar, Keenan Albee, Elizabeth Boroson, Abhishek Cauligi et al. "Multi-agent autonomy for space exploration on the cadre lunar technology demonstration." In 2024 IEEE Aerospace Conference, pp. 1-14. IEEE, 2024. 5) Thakker, Rohan, Michael Paton, Bryson Jones, Guglielmo Daddi, Rob Royce, Michael Swan, Marlin Strub et al. "To boldly go where no robots have gone before–part 4: Neo autonomy for robustly exploring unknown, extreme environments with versatile robots." In AIAA SCITECH 2024 Forum, p. 1747. 2024.
Richard Neu
School
AE
Google Scholar
https://scholar.google.com/citations?user=60ZYazgAAAAJ
Teaching Interests
Professor Neu's teaching interests encompass core aerospace engineering subjects at undergraduate and graduate levels, including fluid mechanics, propulsion systems, and thermodynamics. His instruction fosters analytical problem-solving skills and integrates theoretical principles with practical applications. Professor Neu also emphasizes the development of research competencies and encourages active student participation in experimental and computational projects within the aerospace discipline.
Research Interests
Professor Neu's research centers on advanced propulsion technologies and fluid dynamics relevant to aerospace systems. His work involves investigating thermodynamic processes, combustion phenomena, and flow behavior to enhance propulsion efficiency and performance. He employs both experimental techniques and computational modeling to study complex aerodynamic and thermophysical interactions, contributing to the advancement of aerospace vehicle design and optimization.
Minh Hung Nguyen
School
AE
Phone
4705491315
Office
Weber, 201
Education
M.S INSA de Lyon, 2023; M.S Georgia Institute of Technology, 2023
Google Scholar
https://scholar.google.com/citations?user=2tcXxxkAAAAJ&hl=en
Teaching Interests
Professor Nguyen's teaching interests include core aerospace engineering structural mechanics at undergraduate level. He emphasizes a deep understanding of fundamental principles and their applications. His instructional approach promotes student engagement, critical thinking and problem solving skills.
Research Interests
Professor Nguyen’s research focuses on debonding in sandwich composite structures, which consist of two stiff face sheets bonded to a soft core and are widely used in aircraft design due to their high strength-to-weight ratio. Under critical loading conditions, the face sheets may debond from the core, leading to structural failure. To better understand the mechanisms governing debond growth and fracture resistance, he develops analytical models for various debond test configurations. In particular, his work emphasizes deriving closed-form solutions to these models to provide fundamental insight and predictive capability.
Recent Publications
Nguyen, M. H., and Kardomateas, G. A. (August 28, 2024). "Elastic Foundation Solution for the End-Notched Flexure Mode II Sandwich Configuration." ASME. J. Appl. Mech. November 2024; 91(11): 111006. https://doi.org/10.1115/1.4065991 Nguyen, M. H., and Kardomateas, G. A. (February 3, 2026). "Elastic Foundation Solution for the Energy Release Rate and Mode Partitioning of the Mixed-Mode Bending Sandwich Configuration." ASME. J. Appl. Mech. doi: https://doi.org/10.1115/1.4070995
Joseph Oefelein
School
AE
Phone
404-894-0199
Office
Montgomery Knight, 321-5
Education
Ph.D. Mechanical Engineering, The Pennsylvania State University, 1997 M.S. Mechanical Engineering, The Pennsylvania State University, 1992 B.S. Mechanical Engineering (Highest Honors), Rutgers University, 1989
School Page
https://ae.gatech.edu/directory/person/joseph-oefelein
Teaching Interests
Professor Oefelein’s teaching interests encompass fundamental and advanced topics in aerospace engineering with a focus on combustion, propulsion, and fluid dynamics. He is dedicated to instructing both undergraduate and graduate students, emphasizing the underlying physical principles and practical applications within energy conversion and propulsion systems. His teaching approach aims to integrate theory and experiment, fostering a comprehensive understanding of aerospace propulsion phenomena.
Research Interests
Professor Oefelein’s research centers on combustion and propulsion sciences, particularly involving reactive flow dynamics and multiphase flow physics. His work includes high-fidelity simulations and experimental investigations to understand turbulent combustion, thermochemical processes, and fluid-structure interactions relevant to aerospace propulsion systems. This research seeks to advance knowledge of energy conversion mechanisms and contribute to the development of efficient and clean propulsion technologies.
Recent Publications
Preethi V. Mysore, Joseph Oefelein, Evaluation of Wall Modeling Approaches for Transition of Hypersonic Boundary Layers, 2026 DOI: 10.2514/6.2026-0944. Dhruv Purushotham, Chang Hyeon Lim, Adam M. Steinberg, Devesh Ranjan, Joseph C. Oefelein, Joint numerical and experimental investigation of turbulent mixing in a supercritical CO2 shear layer, Journal of Fluid Mechanics, 2025 DOI: 10.1017/jfm.2025.71. Kyle A. Schau, Joseph C. Oefelein. Numerical Analysis of Wave Characteristics in a Methane-Oxygen Rotating Detonation Engine. AIAA Journal, 2022. Umesh Unnikrishnan, Joseph C. Oefelein, Vigor Yang. Subgrid modeling of the filtered equation of state with application to real-fluid turbulent mixing at supercritical pressures. Physics of Fluids, 2022. Guilhem Lacaze, Thomas Schmitt, Anthony Ruiz, Joseph C. Oefelein. Comparison of energy-, pressure- and enthalpy-based approaches for modeling supercritical flows. Computers & Fluids, 2019.
Mayuresh Patil
School
AE
Phone
+1 404.894.2000
Office
Weber, 211 C
Education
B.Tech, Aerospace Engineering, 1994, Indian Institute of Technology, Bombay; M.S., Aerospace Engineering, 1996, Georgia Institute of Technology; Ph.D., Aerospace Engineering, 1999, Georgia Institute of Technology;
Google Scholar
https://scholar.google.com/citations?user=1e28l4MAAAAJ
School Page
https://ae.gatech.edu/directory/person/mayuresh-patil
Teaching Interests
Prof. Patil teaches in the general area of structural mechanics and dynamics. His instructional approach emphasizes foundational concepts and practical applications, fostering student engagement and understanding across theoretical and applied areas in aerospace engineering.
Research Interests
Professor Patil’s research is focused on the development and application of computational methods (including immersed interface methods) and optimization algorithms (including shape sensitivity analysis methods) to multiscale, multiphysics problems in solid mechanics, fluid mechanics and multifunctional materials. Patil's past research experience is in multidisciplinary analysis and optimization encompassing aeroelasticity, structural mechanics, flight mechanics and control, unsteady aerodynamics, and design optimization.
Recent Publications
Bhat Kaudur, S., and Patil, M. J., “Shape Optimization with Immersed Interface Finite Element Method,” International Journal for Numerical Methods in Engineering, Vol. 123, Issue 23, December 2022. Sharma, H. A., Borggaard, J. T., Patil, M. J., and Woolsey, C. A., “Performance Assessment of Energy-preserving, Adaptive Time-step Variational Integrators,” Communications in Nonlinear Science and Numerical Simulation, Vol. 114, Nov 2022. Patil, M. J., “Immersed-Interface Finite Element Method based on a Non-conformal Petrov-Galerkin Formulation,” International Journal of Numerical Methods in Engineering, Vol. 122, Issue 15, April 2021. Kulkarni, M. D., Canfield, R. A., and Patil, M. J., “Nonintrusive Continuum Sensitivity Analysis for Fluid Applications,” Journal of Computational Physics, Vol. 403, Feb 2020. Seifert, D. R., Patil, M. J., Seidel, G. D., and Reich, G., “Multifunctional Topology Optimization of Strain-Sensing Nanocomposite Beam Structures,” Structural and Multidisciplinary Optimization, Vol. 60, pp.1407-1422, Oct 2019.
Luisa Piccolo Serafim
School
AE
Phone
-
Office
Paul Weber 1 (SST1), 211A
Education
Ph.D., Duke University, 2025; B.S., Federal University of Santa Catarina, Brazil, 2021
Google Scholar
https://scholar.google.com/citations?user=EZfdcSIAAAAJ&hl=en
Teaching Interests
Dr. Piccolo Serafim's teaching interests at Georgia Tech focus on core aerospace engineering topics at both undergraduate and graduate levels. These include fluid mechanics, dynamics, aerodynamics, and aircraft performance. Her teaching approach emphasizes conceptual understanding and practical problem-solving skills, fostering student engagement through lectures, discussions, and projects.
Research Interests
Dr. Piccolo Serafim's research centers on aeroelasticity/fluid-thermal-structure interaction problems, with an emphasis on analytical and computational methods in fluid dynamics. Her investigations integrate experimental and computational methods to develop efficient yet accurate methods to model nonlinear unsteady aerodynamic loads for aeroelastic solutions.
Recent Publications
Piccolo Serafim L., and Dowell E.H., "Effects of Viscous Unsteady Aerodynamics on Nonlinear Aeroelastic Model". AIAA Journal 2025. Articles in Advance, https://doi.org/10.2514/1.J066241 Piccolo Serafim L., Cervi C., Smalley J., Kramer J., Huang E., and Dowell E.H. "Experimental Unsteady Aerodynamic Responses in Low-Subsonic Flow: Pitching Airfoil and Control Surface". AIAA Journal 2025. Articles in Advance, doi:doi.org/10.2514/1.J065416 Johnson C., Piccolo Serafim L., Oefelein J.C., and Dowell E.H. "Prediction of clamped–clamped elastic panel motion under influence of shock-wave turbulent boundary layer interactions using WMLES with a 3D aeroelastic solver", Journal of Fluids and Structures, Volume 134, 2025, 104281, ISSN 0889-9746, https://doi.org/10.1016/j.jfluidstructs.2025.104281. Freydin M., Piccolo Serafim, L., Dowell E.H., Varigonda S.V., Narayanaswamy V. "Limit Cycle Oscillation of an Elastic Plate and Cavity in Supersonic Flow". AIAA Journal 2025 63:2, 607-6204, doi: https://doi.org/10.2514/1.J064436 Piccolo Serafim L., and Dowell E.H. "Dynamically Linearized Time-Domain Approach for Limit-Cycle Oscillation Prediction for an Elastic Panel". AIAA Journal 2024 62:12, 4631-4644, https://doi.org/10.2514/1.J064394
Jonnalagadda V R Prasad
School
AE
jvr.prasad@aerospace.gatech.edu
Phone
404-894-3043
Office
Montgomery Knight, 419
Education
B.S., Aeronautical Engineering, 1974, Indian Institute of Technology; M.S., Aeronautical Engineering, 1982, Indian Institute of Technology; M.S., Aerospace Engineering, 1983, Georgia Institute of Technology; Ph.D., Aerospace Engineering, 1985, Georgia Institute of Technology;
Google Scholar
https://scholar.google.com/citations?view_op=new_articles&hl=en&imq=JVR+Prasad#
School Page
https://ae.gatech.edu/directory/person/jonnalagadda-v-r-prasad
Teaching Interests
Professor Prasad’s teaching interests include foundational and advanced courses in aerospace engineering, emphasizing flight dynamics and control principles. He engages students across undergraduate and graduate levels, fostering a deep understanding of rotarywing aircraft and gas turbine engines. His instructional approach integrates theoretical and applied aspects, promoting analytical skills development and practical problem-solving related to rotarywing and propulsion systems modeling, simulation and control.
Research Interests
Professor Prasad’s research focuses on reactive flow physics and combustion processes relevant to aerospace propulsion. His work involves experimental and computational studies aimed at understanding turbulence-chemistry interactions, ignition, and flame stabilization in advanced propulsion systems. The research seeks to enhance energy efficiency and reduce emissions by investigating fundamental combustion phenomena and propulsion performance under varied operating conditions.
Recent Publications
1. Esmek, C.C. and Prasad, J.V.R. “Tau-Theory-Based Guidance Methodology for Helicopter Obstacle Field Navigation,” Mathematics 2026, 14(2), 260; January 2026. DOI: https://doi.org/10.3390/math14020260, 2. Jing, Z., Neumeier, Y., Prasad, J.V.R. and James, D., “A Study of Loss Model Parameter Sensitivity in Compressor Unsteady Flow Simulations,” Journal of Turbomachinery, May 2025, Vol. 147(5): 051001, May 2025. DOI: https://doi.org/10.1115/1.4066912 3. Mballo, C., Walters, R. and Prasad, J.V.R., “Load Limiting Control for Component Life Extension,” AIAA Journal of Guidance, Control and Dynamics, Vol. 48, No. 2, February 2025. DOI: https://doi.org/10.2514/1.G007700 4. Zanella, P., Prasad, J.V.R., Johnson, C.C. and Mavris, D.N., “A Framework to Enhance the Mitigation of Loss of Tail Rotor Effectiveness,” Journal of the American Helicopter Society, Vol. 70 (1), January 2025. DOI: https://doi.org/10.4050/JAHS.70.022002 5. Jing, Z., Neumeier, Y., Prasad, J.V.R., and James, D., “Active Energy Management for Enhanced Engine Transient Operations,” AIAA Journal of Propulsion and Power, Vol 40 (5), July 2024. DOI:10.2514/1.B39242
Elizabeth Qian
School
AE
Phone
404 894 7161
Office
Guggenheim, 448
Education
PhD Computational Science and Engineering, MIT 2021; SM Aerospace Engineering, MIT 2017; SB Aerospace Engineering, MIT 2014.
Google Scholar
https://scholar.google.com/citations?user=jnHI7wQAAAAJ
School Page
https://ae.gatech.edu/directory/person/elizabeth-qian
Teaching Interests
Professor Qian’s teaching interests focus on training engineering students in computational methods and theory, enabling engineers to fully leverage modern computing capabilities. Professor Qian is committed to fostering collaborative and interdisciplinary learning environments for both undergraduate and graduate students.
Research Interests
Professor Qian’s research centers on the development of computational methods and theory to support engineering decision-making. The research integrates applied math, algorithmic development, and engineering applications. Graduate and undergraduate students are actively engaged in her projects.
Recent Publications
T Koike, E Qian, Physics-Informed Machine Learning for Characterizing System Stability, AIAA SCITECH 2026 Forum, 1617, 2026 T Koike, P Mohan, MTH de Frahan, J Bessac, E Qian, Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems, arXiv preprint arXiv:2601.12161, 2026 P Stavrinides, E Qian, An ensemble Kalman approach to randomized maximum likelihood estimation, arXiv preprint arXiv:2507.03207, 2025 J Scheffels, E Qian, I Papaioannou, E Ullmann, Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads, arXiv preprint arXiv:2510.07950, 2025 E Qian, C Beattie, The fundamental subspaces of ensemble Kalman inversion, SIAM Review 67 (4), 771-798, 2025
Juergen Rauleder
School
AE
Phone
404-894-8166
Office
Weber, 200-C
Education
Ph.D., University of Maryland, 2014; M.S., University of Stuttgart, 2010; B.S., University of Stuttgart, 2008
Google Scholar
https://scholar.google.com/citations?user=I24nfY0AAAAJ
School Page
https://ae.gatech.edu/directory/person/juergen-rauleder
Teaching Interests
Professor Rauleder’s teaching is focused on core aerospace engineering subjects at both undergraduate and graduate levels. His interests include interactional/configuration aerodynamics, unsteady aerodynamics, aero-propulsive interactions, coupled aero with flight dynamics, aeroelasticity and fluid-structure interactions on passive and active rotating and fixed-wing systems, and fundamental fluid mechanics. He emphasizes the development of experimental, analytical, and computational skills essential to aerospace engineering and aerodynamics, aiming to integrate theory with practical applications. His instruction supports a thorough understanding of flow physics crucial to aerospace systems.
Research Interests
Prof. Juergen Rauleder’s research interests are the experimental and applied numerical aerodynamics, with a focus on interactional/configuration aerodynamics, unsteady aerodynamics, aero-propulsive interactions, coupled aero with flight dynamics, aeroelasticity and fluid-structure interactions on passive and active rotating and fixed-wing systems. His basic research is applied to the aerodynamic design, optimization, and understanding of current and future air vehicles, including Advanced Aerial Mobility and Uncrewed Aerial Systems (UAS), as well as pilot training and simulators.
Recent Publications
1) Ashok, S.G., and Rauleder, J., “Real-Time Coupled Ship–Rotorcraft Interactional Simulations Using GPU-Accelerated Lattice-Boltzmann Method,” Journal of the American Helicopter Society, Vol. 70, No. 2, 2025, DOI: 10.4050/JAHS.70.022005 2) Szymanski, J., Alstrom, R., and Rauleder, J., “Experimental Active Flutter Suppression Control with Inertial and Aerodynamic Feedback” AIAA Journal of Aircraft, 2025, DOI: 10.2514/1.C037978 3) Herz, S., Atte, A., Seth, D., Rauleder, J., and McCrink, M., “Effects of Rotor–Rotor and Rotor–Body Interactions on Quadrotor Vehicle Performance for Multiple Flight Configurations,” Aerospace Science and Technology, 2025, 109873, ISSN 1270-9638, DOI: 10.1016/j.ast.2024.109873 4) Lee, H., Save, A., Seshadri, P., and Rauleder, J., “Large airfoil models,” Computers & Fluids, Vol. 298, 2025, 106662, DOI: 10.1016/j.compfluid.2025.106662 5) Chen, W.H., and Rauleder, J., “Unsteady Loads of a Scaled Rotor on and near the Landing Deck of the NATO Generic Destroyer with Concurrent Stereo PIV and Surface Pressure Measurements,” Journal of the American Helicopter Society, Vol. 69, No. 4, 2024, DOI: 10.4050/JAHS.68.042008
Cristina Riso
School
AE
Phone
404-894-6034
Office
Weber, 210C
Education
B.S., Aerospace Engineering, 2012, Sapienza University of Rome M.S., Aeronautical Engineering, 2014, Sapienza University of Rome Ph.D., Aeronautics and Space Engineering, 2018, Sapienza University of Rome
Google Scholar
https://scholar.google.com/citations?user=m0FaScIAAAAJ
School Page
https://ae.gatech.edu/directory/person/cristina-riso
Teaching Interests
Professor Riso's teaching focuses on structural dynamics and aeroelasticity. At the undergraduate level, she teaches a senior elective course on structural dynamics and aeroelasticity (AE 4220). At the graduate level, she teaches courses on structural dynamics (AE 6230), fixed-wing aeroelasticity (AE 6200), and rotary-wing aeroelasticity (AE 6220). Her instruction emphasizes a rigorous theoretical foundation combined with physical intuition and practical problem-solving skills.
Research Interests
Professor Riso's research investigates dynamic aeroelastic phenomena in fixed-wing and rotary-wing aircraft using novel computational models and analysis methods. Her research aims to advance the fundamental understanding of the aeroelastic physics of new air vehicle configurations and support their design. Current focus areas include modeling, analysis, and simulation of nonlinear aeroelastic systems, development of methods to analyze flutter instabilities and limit-cycle oscillations, and inclusion of dynamic aeroelastic constraints into design optimization.
Recent Publications
Simmons, G., Kreshock, A. R., Thurnburgh, R. P., Sekula, M. K., and Riso, C., "Experimental Amplitude-Dependent Characterization of the TiltRotor Aeroelastic Stability Testbed," Journal of the American Helicopter Society, 2026. Riso, C., "Evaluation of Whirl Flutter Prediction Methods for a System with Hardening or Softening Structural Nonlinearities," Journal of the American Helicopter Society, 2025. Golla, T., Kennedy, G. J., and Riso, C., "Sliding-Window Matrix Pencil Method for Design Optimization with Limit-Cycle Oscillation Constraints," AIAA Journal, 2024. Riso, C., and Cesnik, C. E. S., "Geometrically Nonlinear Effects in Wing Aeroelastic Dynamics at Large Deflections," Journal of Fluids and Structures, 2023. Riso, C., and Cesnik, C. E. S., "Impact of Low-Order Modeling on Aeroelastic Predictions for Very Flexible Wings," Journal of Aircraft, 2023.
Thomas Roberts
School
AE
Phone
+1 404.894.2000
Office
Habersham, 305
Education
PhD, Massachusetts Institute of Technology, Aeronautics and Astronautics SM, Massachusetts Institute of Technology, Aeronautics and Astronautics SM, Massachusetts Institute of Technology, Technology and Policy AB, Princeton University, Astrophysical Sciences
Google Scholar
https://scholar.google.com/citations?user=puzt2lAAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/thomas-gonzalez-roberts
Teaching Interests
Professor Roberts' teaching interests include foundation courses in aerospace engineering at both undergraduate and graduate levels, emphasizing structural analysis, solid mechanics, and materials behavior. He aims to integrate fundamental concepts with practical problem-solving approaches to prepare students for advanced study and research in aerospace structures and materials.
Research Interests
Professor Roberts' research focuses on the mechanics of structural materials, with particular emphasis on damage mechanics, fracture, and failure of advanced composites. His work involves developing models to predict material behavior under complex loading, enhancing the durability and performance of aerospace structures through multiscale experimental and computational methods.
Recent Publications
LV Paulson, T Roberts, Modeling Safety-Zone Interactions and Resource Access in Lunar South-Pole PSRs, AIAA SCITECH 2026 Forum, 0170, 2026
TG Roberts, Assessing Compliance with Post-mission Disposal Guidelines in Geosynchronous Orbit, 11th IAA Space Traffic Management Conference, 2025
HE Solera, TG Roberts, R Linares, An Open-Source Algorithm for Monitoring GEO Slot Utilization and Satellite Clustering, 11th IAA Space Traffic Management Conference, 2025
PM Siew, HE Solera, G Lavezzi, TG Roberts, D Jang, D Baldsiefen, ..., AI Challenge for Satellite Pattern-of-Life Identification: Dataset, Design and Results, The Journal of the Astronautical Sciences 72 (4), 41, 2025
TG Roberts, B Staats, K Melbourne, Exotic Space Warfare: Military Importance of Sustained Maneuver, Center for Space Policy and Strategy, Aerospace Corporation, 2024
Jonathan Rogers
School
AE
Phone
404-385-1600
Office
Montgomery Knight, 421B
Education
PhD, Aerospace Engineering, Georgia Institute of Technology, 2009 MS, Aerospace Engineering, Georgia Institute of Technology, 2007 BS, Physics, Georgetown University, 2006
Google Scholar
https://scholar.google.com/citations?user=P-eOMCQAAAAJ
School Page
https://ae.gatech.edu/directory/person/jonathan-rogers
Teaching Interests
Professor Rogers' teaching interests include core aerospace engineering subjects at both undergraduate and graduate levels, emphasizing flight dynamics, avionics, and mechatronics. His instruction aims to integrate theoretical concepts with practical applications, fostering analytical and problem-solving skills. He is committed to mentoring students and facilitating their understanding of complex aerospace phenomena through rigorous coursework and research engagement. (67 words)
Research Interests
Professor Rogers' conducts research in flight dynamics, controls, aerial robotics, and autonomy. Through a combination of theoretical and applied research, Dr. Rogers has developed groundbreaking new technologies in a variety of areas from rotorcraft and smart weapons to stochastic optimal control. (67 words)
Recent Publications
J. Rogers, “Experimental Evaluation of Wind Turbine Wake Turbulence Impacts on a General Aviation Aircraft,” Wind Energy Sciences, Vol. 9, No. 9, 2024, pp. 1849–1868. S. Kemp, M. Duce, S. Kumar, A. Erickson, J. Rogers, “Radiological Source Term Estimation and Isotopic Identification with Parallel Log Domain Particle Filters,” IEEE Transactions on Nuclear Science, Vol. 71, No. 11, 2024, pp. 2422-2431. WS Kovalik, JD Rogers, Low-Bandwidth Fixed-Trim Control of a Guided Projectile, Journal of Guidance, Control, and Dynamics, 1-10, 2025 J Rogers, C Ollson, Simulation Analysis and Safety Risk Assessment of a Wind Turbine Blade Failure Event, Wind Energy 28 (7), e70037, 2025 U Saetti, J Rogers, Explicit Uncertainty Quantification for Probabilistic Assessment of Rotorcraft Handling Qualities, Journal of the American Helicopter Society 69 (4), 1-14, 2024
Alvaro Romero-Calvo
School
AE
Phone
+1 404.894.7522
Office
ESM, 203B
Education
Ph.D., Aerospace Engineering Sciences, University of Colorado Boulder, 2022; M.Sc., Space Engineering, Politecnico di Milano, 2019; M.Sc., Aeronautical Engineering, Universidad de Sevilla, 2019; B.Sc., Aerospace Engineering, Universidad de Sevilla, 2016;
Google Scholar
https://scholar.google.com/citations?user=79_ucOsAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/alvaro-romero-calvo
Teaching Interests
Professor Romero-Calvo's teaching interests include core aerospace engineering subjects such as fluid mechanics, space systems engineering, and spacecraft environmental control and life support, at both the undergraduate and graduate levels. His instruction emphasizes fundamental principles and their application to aerospace vehicle performance and design. He actively engages students through analytical, computational, and experimental approaches, fostering critical thinking and problem-solving skills pertinent to the aerospace field.
Research Interests
Professor Romero-Calvo's work spans a broad range of activities in microgravity and low-gravity research, supporting the development of next-generation space systems and the study of the fundamental physical phenomena behind them. As PI and Co-PI of multiple federally funded projects, he and his team have advanced technologies in phase separation, propellant management, life support, adaptive optics, lunar surface, and heat transfer. His Low-Gravity Science and Technology laboratory conducts fluid-physics experiments across multiple low-gravity platforms, including drop towers, parabolic flights, and suborbital rockets, to bring promising new ideas closer to commercial infusion.
Recent Publications
Ö. Akay, M. Monfort-Castillo, T. St. Francis, S. Saravanabavan, Á. Romero-Calvo*, K. Brinkert*, “Magnetically induced convection enhances water electrolysis in microgravity“, Nat. Chem., Vol. 17, pp. 1673–1679, 2025, doi: 10.1038/s41557-025-01890-0 H. Chen, S. Hart, Á. Romero-Calvo, “Thermal Propellant Management Devices for CubeSat Cold Gas Propulsion”, Acta Astronautica, in press, doi: 10.1016/j.actaastro.2026.01.057 S. Hart, C. Awald, G. Lightsey, Á. Romero-Calvo, “Magnetohydrodynamically Pumped Liquid Metal Loops for CubeSat Thermal Control“, Int. J. of Heat and Mass Transfer, Vol. 239, 126552, 2025, doi: 10.1016/j.ijheatmasstransfer.2024.126552 L. Scifoni, F. Isidori Pacelli, M. J. Schaible, E. A. Ryan, Y. Yee Li Sip, L. Zhai, J. S. Linsey, M. L. Shofner, T. M. Orlando, Á. Romero-Calvo, “Performance of Electrodynamic Dust Shields with Functional Surface Coatings for Lunar Dust Mitigation“, Acta Astronautica, Vol. 238, Part A, pp. 398-413, 2025, doi: 10.1016/j.actaastro.2025.08.057 E. Comstock, H. Chen, T. Hu, Á. Romero-Calvo, “On the Feasibility of Spherical Magnetic Liquid Mirror Telescopes”, Acta Astronautica, Vol. 230, pp. 30-38, 2025, doi: 10.1016/j.actaastro.2025.01.066
Stephen M Ruffin
School
AE
Lakshmi N Sankar
School
AE
Phone
404-894-3014
Office
Guggenheim, 363
Education
Education Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1977. MSAE, Aerospace Engineering, Georgia Institute of Technology, 1975. B. Tech., Aeronautical Engineering, Indian Institute of Technology, Madras, India, 1973.
Google Scholar
https://scholar.google.com/citations?user=lUpwN0QAAAAJ
School Page
https://ae.gatech.edu/directory/person/lakshmi-n-sankar
Teaching Interests
Professor Sankar's teaching interests encompass fundamental aerospace engineering and mechanical engineering topics at both undergraduate and graduate levels. These include solid mechanics, structural analysis, composite materials, and fracture mechanics. His instruction emphasizes the integration of theoretical principles with practical applications to prepare students for advanced study and professional practice. He is committed to engaging students through research-informed teaching and fostering critical thinking skills in engineering mechanics and materials behavior.
Research Interests
Professor Sankar's research focuses on the mechanics of materials and structures with particular emphasis on the behavior and failure of advanced composites and multifunctional materials. His work includes the development of micromechanical models, characterization of damage and fracture processes, and the study of multifunctional materials under mechanical and environmental loading. He applies computational and experimental methods to understand material response and to inform the design of lightweight, durable aerospace structures.
Recent Publications
C Bhatia, LN Sankar, Design and Use of Roughness-Tolerant Low Drag Airfoils for Wind Turbine and Hydrokinetic Turbine Applications, AIAA SCITECH 2026 Forum, 0480, 2026 CC Nelson, M Ku, Y Yanagita, LN Sankar, Preliminary Application of Inverse Design to the HVAB Rotor Tip, AIAA SCITECH 2026 Forum, 1513, 2026 VP Kulkarni, LN Sankar, An Integrated Approach for Aeroacoustic Modeling and Design of Rotors and Propellers, AIAA SCITECH 2026 Forum, 0479, 2026. Michele Ku and Lakshmi Sankar, "Roughness Tolerant Airfoil Design for Rotor and Propeller Applications," Proceedings of the Transformative Vertical Flight Conference (TVF 2026), February 2026. Walter Cruz and Lakshmi Sankar, "Exploration of Physics Informed Machine Learning for Turbulent Flows using DNS Data," AIAA SciTech Forum 2026.
Narayanamoorthy Sankar
School
AE
lakshmi.sankar@aerospace.gatech.edu
Jerry Seitzman
School
AE
jerry.seitzman@aerospace.gatech.edu
Phone
404-894-0013
Office
Guggenheim, 360
Education
B.S., Mechanical Engineering, 1982, University of Texas at Austin; M.S., Mechanical Engineering, 1983, Stanford University; Ph.D., Mechanical Engineering, 1991, Stanford University;
School Page
https://ae.gatech.edu/directory/person/jerry-m-seitzman
Teaching Interests
Professor Seitzman's teaching interests include core aerospace engineering subjects with emphasis on propulsion, thermodynamics, fluid mechanics, physical gas dynamics, combustion processes and technical communications at both undergraduate and graduate levels. His instruction integrates fundamental engineering principles and practical applications. He actively involves students in problem-solving and critical analysis to foster a deeper understanding of these subjects.
Research Interests
Professor Seitzman's research centers on combustion, optical flow diagnostics and sensors, and high temperature gas dynamics, and involves both experimental and modeling approaches. His work aims to improve the robustness, reliability and emissions performance of combustion-based propulsion systems and energy conversion devices, as well as improving experimental techniques used to measure reacting and compressible flow fields. Research efforts engage both graduate and undergraduate students in advancing knowledge and developing novel methods in these areas.
Recent Publications
R. K. Bompelly and J. Seitzman, “Lean Blowout Proximity Sensing in a Low Emission Liquid-Fueled Combustor, Combustion Science and Technology 1-27, https://doi.org/10.1080/00102202.2024.2372433. M. L. Passarelli, S. E. Wonfor, A. X. Zheng, S. R. Manikandan, Y. C. Mazumdar, J. M. Seitzman, A. M. Steinberg, H. Bower, J. Hong, K. Venkatesan and M. Benjamin, “Experimental Characterization of a Lean Prevaporized Premixed Combustor for Supersonic Transport Applications,” AIAA 2022-2347, https://doi.org/10.2514/6.2022-2347. E. Goh , T. Lieuwen and J. Seitzman, “Finite Entrainment Effects on Nitrogen Oxide (NOx) Emissions in Staged Combustors, Combustion and Flame 230, https://doi.org/10.1016/j.combustflame.2021.111434. S. Adusumilli and J. Seitzman, “Laminar Flame Speed Measurements of Ethylene at High Preheat Temperatures and for Diluted Oxidizers,” Combustion and Flame 233, https://doi.org/10.1016/j.combustflame.2021.111564. Y. Tang, M. Hassanaly, V. Raman, B. Sforzo, J. Seitzman, “Probabilistic Modeling of Forced Ignition of Alternative Jet Fuels,” Proc. Combust. Inst., 38, The Combustion Institute, https://doi.org/10.1016/j.proci.2020.06.309.
Marilyn J Smith
School
AE
Phone
404-894-3065
Office
Weber, 202
Education
B.S., Aerospace Engineering, 1982, Georgia Institute of Technology M. S., Aerospace Engineering, 1985, Georgia Institute of Technology Ph.D., Aerospace Engineering, 1994, Georgia Institute of Technology
Google Scholar
https://scholar.google.com/citations?user=lEKsoQIAAAAJ
School Page
https://ae.gatech.edu/directory/person/marilyn-j-smith
Teaching Interests
Professor Smith’s teaching interests include foundational and advanced courses in aerospace engineering, with an emphasis on rotorcraft, unsteady aerodynamics, and aeroelasticity. She is dedicated to fostering student engagement through theoretical and practical approaches, supporting both undergraduate and graduate education. Her teaching aims to develop a strong understanding of engineering principles and their applications in aerospace systems.
Research Interests
Professor Smith’s research focuses on computational aeromechanics related to aerodynamics and aeroelasticity, in particular for complex systems such as rotorcraft. Her work addresses turbulent flows, flow control, and unsteady aerodynamics. She investigates fundamental fluid mechanics phenomena to advance computational capabilities across the spectrum of reduced-order models to wall-modeled large eddy simulations.
Recent Publications
P Sridhar, A Crawford, MJ Smith, Sensitivity of rotor aeroelastic predictions with two-equation turbulence models: P. Sridhar et al., CEAS Aeronautical Journal 16 (4), 1063-1087, 2025 Kurban, E., Oates, B., Smith, M. J., and Rauleder, J., “Correlation of High- and Mid-Fidelity Ship Airwake Analysis to Experiment,” Journal of Aircraft, Vol. 62, No. 4, pp. 857–875, 2025, doi: 10.2514/1.C038087 Grubb, A. and Smith, M. J., “Planform Mesh Requirements for Fixed and Rotating Wing with Separation,” Journal of Aircraft, Vol. 62, No. 1, pp. 132–145, 2025, doi: 10.2514/1.C037859 Bonnet, C. and Smith, M. J., “Flowfield Analysis of Vortex Interactions during Large Sharp-Edged Gusts,” AIAA Journal, Vol. 62, No. 8, pp. 2885–2899, 2024, doi: 10.2514/1.J063901 Bonnet, C., Kolpitcke, A.G., and Smith, M., “Computational Validation and Assessment of Large Amplitude Transverse Gust Physics,” Journal of American Helicopter Society, Vol. 69, p. 020011, January, 2024, doi: 10.4050/JAHS.69.020011
Adam Michael Steinberg
School
AE
Phone
404-894-1130
Office
BTZ, 101
Education
B.A.Sc. in engineering science from the University of Toronto (2004), M.S.E in aerospace engineering from the University of Michigan (2006); Ph.D. in aerospace engineering from the University of Michigan (2009)
Google Scholar
https://scholar.google.com/citations?user=4_EJZnYAAAAJ
School Page
https://ae.gatech.edu/directory/person/adam-michael-steinberg
Teaching Interests
Professor Steinberg’s teaching interests focus on undergraduate and graduate instruction in aerospace engineering fundamentals, including fluid dynamics, thermodynamics, propulsion, combustion, and experimental methods. He emphasizes a rigorous understanding of the theoretical basis of aerospace systems, integrating analytical and computational methods to prepare students for advanced study and professional practice. His pedagogy encourages student engagement through problem-solving that applies theory to realistic situations.
Research Interests
Professor Steinberg is the Director of the Ben T. Zinn Combustion Laboratory -- one of the largest academic combustion research facilities in the world. His research focuses on overcoming the scientific and technical barriers facing future aerospace propulsion and energy conversion devices. Working closely with government and industry, his research group develops and applies advanced laser-based measurement techniques that help unravel the coupled thermal, fluid, and chemical process occurring in these devices. Topics of interest include laser-based diagnostics, combustion, gas turbine engines and augmenters, supersonic and hypersonic propulsion, chemical rockets, detonations, space electric propulsion and plasmas, and multi-phase flows.
Recent Publications
C. W. Godbold, C. Segatori, C. J. Mueller, C. Genzale, A. Piano, A. M. Steinberg, “Impact of pilot injections on ducted fuel injection performance,” International Journal of Engine Research, In Press (2025) E. R. Jans, S. P. Kearney, A. M. Steinberg, M. K. Matzen, N. P. Brown, “Single-shot femtosecond laser-induced breakdown spectroscopy in low-density gases,” Journal of Applied Physics, 138(12) (2025) K. Teav, H. Jean-Ruel, A. M. Steinberg, “Performance loss and recovery of virtually imaged phased arrays with imperfect mirror parallelism,” Applied Optics, 64(26):7834 (2025) A. Jain, I. M. Obi, V. Salazar, M. Kodali, K. Venkatesan, Y. C. Mazumdar, A. M. Steinberg, “Characterization of a lean premixed prevaporized combustor with conventional and sustainable fuel,” AIAA Journal (2025) D. Purushotham, C. H. Lim, A. M. Steinberg, D. Ranjan, J. C. Oefelein, “Joint numerical and experimental investigation of turbulent mixing in a supercritical CO2 shear layer,” Journal of Fluid Mechanics, 1008:A17 (2025)
Wenting Sun
School
AE
wenting.sun@aerospace.gatech.edu
Phone
404-894-0524
Office
Guggenheim, 364
Education
B.E., Engineering Physics, 2005, Tsinghua University; M.E., Engineering Physics, 2007, Tsinghua University; Ph.D., Mechanical and Aerospace Engineering, 2013, Princeton University;
Google Scholar
https://scholar.google.com/citations?user=w0dOsUcAAAAJ
School Page
https://ae.gatech.edu/directory/person/wenting-sun
Teaching Interests
Professor Sun’s teaching interests include fundamental and advanced courses in aerospace engineering, emphasizing fluid mechanics and combustion. He engages both undergraduate and graduate students to develop a deep understanding of both physics and chemistry relevant to aerospace applications. His instruction integrates theoretical principles with practical computational tools to prepare students for research and professional work in combustion and related areas. (66 words)
Research Interests
Professor Sun’s research focuses on combustion, with particular emphasis on combustion kinetics and plasma-assisted combustion. His work addresses the challenges of enabling combustion under extreme conditions, reducing emissions, and understanding the chemical effects of a variety of fuels in propulsion systems. (68 words)
Recent Publications
Hao Tang, Evangelos Chatziandreou, Griffin Rahn, Bo Peng, Wenting Sun, Simultaneous NH/NO PLIF measurements in plasma-assisted ammonia and ammonia/hydrogen swirling flames, Proceedings of the Combustion Institute 41, 105789, 2025 H Tang, S Gubbi, W Sun, Investigation of flame structure in plasma-assisted ammonia swirling flames using NH planar laser-induced fluorescence, Combustion and Flame 274, 114006, 2025 S Gubbi, R Cole, CDA Jimenez, B Emerson, D Noble, R Steele, W Sun, ..., Investigation of minimum NOx emissions for cracked ammonia combustion, Combustion and Flame 274, 114005, 2025 S Gubbi, R Cole, B Emerson, D Noble, R Steele, W Sun, T Lieuwen, Air Quality Implications of Using Ammonia as a Renewable Fuel: How Low Can NOx Emissions Go?, ACS Energy Letters 8 (10), 4421-4426, 2023 Y Peng, D Ranjan, W Sun, A shock tube study of fuel concentration effect on high-pressure autoignition delay of ammonia, Applications in Energy and Combustion Science 16, 100202, 2023
Jimmy Tai
School
AE
jimmy.tai@aerospace.gatech.edu
Phone
404-894-0197
Office
Weber, 300
Education
Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1998 M.S., Aerospace Engineering, Georgia Institute of Technology, 1991 B.S., Aerospace Engineering, Georgia Institute of Technology, 1990
School Page
https://ae.gatech.edu/directory/person/jimmy-c-tai
Teaching Interests
Professor Tai's teaching interests encompass core aerospace engineering subjects at both undergraduate and graduate levels, including flight dynamics, control systems, and aircraft performance. His instruction emphasizes foundational principles and analytical techniques to prepare students for advanced study and professional practice. Professor Tai engages students in problem-solving and practical applications relevant to aerospace systems and guidance, navigation, and control disciplines. (69 words)
Research Interests
Professor Tai's research focuses on the development of control methods for autonomous aerospace systems, including guidance and navigation algorithms. His work involves modeling, analysis, and design of flight control systems to improve the performance and safety of aerial vehicles. Research efforts include robustness and adaptive control strategies for complex dynamical systems in aerospace applications. (63 words)
Evangelos Theodorou
School
AE
evangelos.theodorou@gatech.edu
Phone
404-894-8197
Office
Guggenheim, 448A
Education
Diploma in Electronic and Computer Engineering, Technical University of Crete, 2001; M.S in Production Engineering and Management, Technical University of Crete, 2004; M.S. in Computer Science and Engineering, University of Minnesota, 2007; M.S. in Electrical Engineering, University of Southern California, 2010; Ph.D in Computer Science, University of Southern California, 2011;
Google Scholar
https://scholar.google.com/citations?user=dG9MV7oAAAAJ
School Page
https://ae.gatech.edu/directory/person/evangelos-theodorou
Teaching Interests
Professor Theodorou’s teaching interests center on the core principles of aerospace engineering, including flight dynamics, controls, and autonomous systems. He is committed to providing students with a strong foundation in theoretical and applied aspects of dynamic systems and control, integrating analytical methods with practical applications. His teaching involves undergraduate and graduate students, fostering a deep understanding of complex aerospace system behavior and control strategies.
Research Interests
Professor Theodorou’s research focuses on the development of advanced control and optimization methods for dynamic systems, particularly in aerospace applications. His work includes nonlinear and adaptive control, learning-based control algorithms, and trajectory optimization. The research aims to improve the performance, safety, and autonomy of aerospace vehicles through mathematical modeling and real-time control strategies, engaging both graduate and undergraduate researchers in interdisciplinary projects.
Recent Publications
T Yoon, AD Saravanos, EA Theodorou, Distributed Stochastic Search for Multi-Agent Model Predictive Control, arXiv preprint arXiv:2510.18211, 2025
GH Liu, T Chen, EA Theodorou, Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
A Tajbakhsh, A Saravanos, J Zhu, EA Theodorou, LT Biegler, ..., Asynchronous Distributed Multi-Robot Motion Planning Under Imperfect Communication, arXiv preprint arXiv:2511.18703, 2025
A Oshin, RV Ghosh, AD Saravanos, EA Theodorou, Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding, arXiv preprint arXiv:2512.01565, 2025
A Ratheesh, V Pacelli, AD Saravanos, EA Theodorou, Operator splitting covariance steering for safe stochastic nonlinear control, 2025 IEEE 64th Conference on Decision and Control (CDC), 3552-3559, 2025
Sedina Tsikata
School
AE
Phone
470-920-9473
Office
Guggenheim, 446
Education
PhD, Physics, Ecole Polytechnique, France MS, Fluid Mechanics and Energetics, Ecole Polytechnique, France BS, Mechanical Engineering, Massachusetts Institute of Technology, USA
Google Scholar
https://scholar.google.com/citations?hl=en&user=KxDwpxsAAAAJ
School Page
https://ae.gatech.edu/directory/person/sedina-tsikata
Teaching Interests
Professor Tsikata's teaching focuses on foundational aerospace engineering courses at both undergraduate and graduate levels, including aerodynamics, computational fluid dynamics, and propulsion principles. Her instructional approach integrates theoretical understanding with practical problem-solving skills. Professor Tsikata actively involves students in coursework that bridges fundamental concepts with current aerospace challenges, fostering critical thinking and technical proficiency throughout the aerospace engineering curriculum. (67 words)
Research Interests
Professor Tsikata's research centers on developing advanced computational methods and simulations in aerospace engineering, particularly in fluid dynamics and propulsion systems. Her work involves the analysis of turbulent flows, aerodynamic optimization, and the integration of numerical techniques to improve predictive capabilities. The research aims to enhance the understanding of complex aerospace phenomena to inform design and performance improvements in aerospace vehicles. (66 words)
Recent Publications
K Lee, S Tsikata, D Lev, D Motiwalla, Investigation of strategies for azimuthal magnetic field enhancement in magnetoplasmadynamic thrusters, 2025
K Lee, S Tsikata, Development and Photon Budget Analysis of an Incoherent Thomson Scattering Diagnostic for a Magnetoplasmadynamic Thruster, GEC 2025, 2025
S Tsikata, K Lee, Analysis of electromagnetic instabilities in magnetoplasmadynamic thrusters, GEC 2025, 2025
K Lee, S Tsikata, D Lev, D Motiwalla, Enhancing Azimuthal Magnetic Fields in Magnetoplasmadynamic Thrusters via Integrated Electromagnet Design, GEC 2025, 2025
K Lee, PA Holstine, S Tsikata, Characterization of Magnetoplasmadynamic Thrusters Using Incoherent Thomson Scattering, DPP 2025, 2025
Panagiotis Tsiotras
School
AE
Phone
404-894-9526
Office
Montgomery Knight, 415C
Education
Dipl.Eng., Mechanical Engineering, 1986, National Technical University of Athens M.S., Aerospace Engineering, 1987 Virginia Tech M.S., Mathematics, 1992,Purdue University Ph.D., Aeronautics and Astronautics, 1993, Purdue University;
Google Scholar
https://scholar.google.com/citations?user=qmVayjgAAAAJ
School Page
https://ae.gatech.edu/directory/person/panagiotis-tsiotras
Teaching Interests
Professor Tsiotras’ teaching focuses on core aerospace engineering courses spanning dynamics, control systems, and astronautics at both undergraduate and graduate levels. His instruction emphasizes the fundamental principles of nonlinear system analysis and guidance for aerospace vehicles, aiming to develop strong analytical and problem-solving skills. Graduate teaching also includes advanced topics in optimal control and estimation theory, reflecting a comprehensive approach to aerospace systems engineering and control.
Research Interests
Professor Tsiotras’ research centers on control theory and its application to aerospace dynamics, particularly nonlinear control, estimation, and optimization for spacecraft and aerial vehicles. His work includes development of robust guidance and navigation algorithms, modeling of complex dynamic systems, and the study of control techniques for systems with constraints and uncertainties. His research actively integrates mathematical rigor with practical challenges in aerospace system design and operation.
Recent Publications
IG Velentzas, JD Florez Castillo, N Bruckner, M Dor, P Tsiotras, SISIFOS: Specialized Illumination SImulator for Orbiting Spacecraft, AIAA SCITECH 2026 Forum, 2597, 2026 G Wu, P Tsiotras, A Lindquist, Distribution Steering for Discrete-Time Uncertain Ensemble Systems, IEEE Transactions on Automatic Control, 2026 Y Guan, D Maity, P Tsiotras, Strategic Concealment of Environment Representations in Competitive Games, IEEE Control Systems Letters 9, 2609-2614, 2025 E Psomiadis, D. Maity, P. Tsiotras, Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing, in Distributed Autonomous Robotic Systems, Eds: A. Nilles, Ki. H. Petersen, T. L. Lam, A. Prorok, M. Rubenstein, and M. Otte, Springer Proceedings in Advanced Robotics Series, Vol. 34, Springer, 2026. G Rapakoulias, A-R Pedram, P. Tsiotras, Steering Large Agent Populations using Mean-Field Schrodinger Bridges with Gaussian Mixture Models, IEEE Control System Letters, Vol. 9, pp. 1760-1765, 2025
Kyriakos Vamvoudakis
School
AE
Phone
404-385-3342
Office
Montgomery Knight, 415B
Education
Ph.D., Electrical Engineering , Automation and Robotics Research Institute , University of Texas at Arlington , USA (2008-2011) Dissertation: Online Learning Algorithms for Differential Dynamic Games and Optimal Control M.Sc., Electrical Engineering , Automation and Robotics Research Institute , University of Texas at Arlington , USA (2006-2008) Diploma (5 year degree, M.Sc. equivalent), Electronic and Computer Engineering , Technical University of Crete , Greece (2001-2006) Thesis: Adaptive Control for Mitogen-Activated Protein Kinase Cascade Models Using Radial Basis Function Neural Networks
Google Scholar
https://scholar.google.com/citations?user=4hWyM_gAAAAJ
School Page
https://ae.gatech.edu/directory/person/kyriakos-g-vamvoudakis
Teaching Interests
Prof. Vamvoudakis’ teaching interests center on modern control systems, reinforcement learning, and data-driven decision-making for autonomous and cyber-physical systems. He is particularly interested in teaching how learning-based methods can be integrated with classical control theory to address complex, uncertain, and safety-critical environments. His instruction emphasizes a strong theoretical foundation alongside practical implementation, enabling students to understand both the mathematical principles and real-world applications of intelligent control, robotics, and autonomous systems.
Research Interests
Prof. Vamvoudakis’ research interests lie at the intersection of control theory, reinforcement learning, and autonomous systems. His work focuses on developing data-driven and learning-enabled control methodologies that guarantee stability, safety, and optimality in uncertain and adversarial environments. He is particularly interested in safe and robust reinforcement learning, optimal control, and game-theoretic approaches for multi-agent and cyber-physical systems. By bridging rigorous theoretical analysis with practical applications in robotics, energy systems, and intelligent infrastructure, his research advances the deployment of trustworthy autonomous systems in real-world settings.
Recent Publications
NMT Kokolakis, KG Vamvoudakis, WM Haddad, Fixed-time learning for safe time-critical verification using reachability analysis, Automatica 183, 112528, 2026 J Netter, GP Kontoudis, KG Vamvoudakis, Decentralized Multi-Agent Motion Planning Using Cognitive Hierarchy and Gaussian Process Classification, IEEE Transactions on Intelligent Vehicles, 2026 A Wadi, KG Vamvoudakis, Trajectory-informed machine learning for quantum optimal control of uncertain systems, Automatica 185, 112756, 2026 F Fotiadis, KG Vamvoudakis, Input–output data-driven sensor selection for cyber-physical systems, Automatica 186, 112829, 2026 F. Fotiadis, K. G. Vamvoudakis, Z.-P. Jiang, “Data-Driven Actuator Allocation for Actuator Redundant Systems,” IEEE Transactions on Automatic Control, vol. 69, no. 4, pp. 2249-2264, 2024.
Aravind Chandh Velayuthapattnam Shanmugam
School
AE
Google Scholar
https://scholar.google.com/citations?user=Xe8YJvwAAAAJ
Teaching Interests
Professor Shanmugam's teaching encompasses core aerospace engineering topics at undergraduate and graduate levels, including structural mechanics, materials science, and advanced dynamics. He emphasizes developing analytical and computational skills necessary for aerospace structures and materials. His instruction integrates theoretical foundations with practical problem-solving, fostering student engagement and interdisciplinary understanding in aerospace engineering.
Research Interests
Professor Shanmugam's research centers on aerospace structural mechanics and materials, investigating behavior under complex loading conditions. His work includes advancing computational models and experimental techniques to analyze material performance, damage tolerance, and structural integrity in aerospace applications. This research aims to enhance the reliability and safety of aerospace structures through improved understanding of material behavior and failure mechanisms.
Recent Publications
GC Ganesh, AC Velayuthapattnam Shanmugam, VS Acharya, ..., Effect of Jet Velocity Profiles on Evolution of Wake Structures in Transverse Jets, AIAA SCITECH 2026 Forum, 1019, 2026
AC Velayuthapattnam Shanmugam, B Emerson, T Lieuwen, Evolution of Shear Layer Vortices in Jets in Crossflow, AIAA SCITECH 2025 Forum, 2754, 2025
B Robinson, A Chandh, S Glende, S Stoknes, M Kvetny, BL Emerson, ..., Flame Lifting of a Reacting Jet in Crossflow at Elevated Pressure Conditions, Division of Fluid Dynamics Annual Meeting 2025, 2025
A Chandh, S Adhikari, D Wu, R McKinney, B Emerson, Q Zhang, D Joshi, ..., Experimental investigation of combustion dynamics in a high-pressure liquid-fueled swirl combustor, Journal of Engineering for Gas Turbines and Power 145 (6), 061018, 2023
A Chandh, S Adhikari, D Wu, R McKinney, B Emerson, Q Zhang, D Joshi, ..., Experimental Investigation of Combustion Dynamics in a High-Pressure Liquid-Fueled Swirl Combustor, Turbo Expo: Power for Land, Sea, and Air 85994, V03AT04A039, 2022
Mitchell L.R. Walker II
School
AE
Phone
404-385-2757
Office
Montgomery Knight, 311
Education
B.S.E., Aerospace Engineering, 1999, University of Michigan; M.S., Aerospace Engineering, 2000, University of Michigan; Ph.D., Aerospace Engineering, 2004, University of Michigan;
Google Scholar
https://scholar.google.com/citations?user=TtMTyagAAAAJ
School Page
https://ae.gatech.edu/directory/person/mitchell-lr-walker-ii
Teaching Interests
Professor Walker II’s teaching interests include foundational and advanced courses in aerospace engineering, with a focus on propulsion, fluid mechanics, high-temperature gasdynamics, and experimental methods. He emphasizes the integration of computational and experimental approaches to understand flow physics. His instruction aims to develop strong analytical and practical skills in students, engaging both undergraduate and graduate learners in the fundamentals and applications of aerospace systems and fluid dynamics. (68 words)
Research Interests
Dr. Walker’s primary research interests lie in electric propulsion, plasma physics, and hypersonic aerodynamics/plasma interaction. He has extensive design and testing experience with Hall thrusters and ion engines. Dr. Walker performed seminal work in Hall thruster clustering and vacuum chamber facility effects. His current research activities involve both theoretical and experimental work in advanced spacecraft propulsion systems, diagnostics, plasma physics, helicon plasma sources, space debris mitigation, magnetoplasmadynamic thrusters, and pulsed inductive thrusters.
Recent Publications
1. Chhavi Chavi, Mitchell L. R. Walker, "Azimuthal Magnetic Field Gradient Effects on a 5-kW Hall Effect Thruster Performance and Stability," Plasma Sources Science and Technology, Published Online - November 2025. 2. Julian Lopez-Uricoechea, Dan Lev, Mitchell L. R. Walker, "Nondimensional Framework for the Hall Effect Thruster Discharge and its Facility Effects: Similarity Laws and Analysis of Background Pressure Studies," Journal of Electric Propulsion, Published Online - November 2025. 3. Julian Lopez-Uricoechea, Mitchell L. R. Walker, "Statistical Inference of Higher-Order Moments of Electron Velocity Distribution Functions from Incoherent Thomson Scattering Spectra," Physics of Plasmas, Published Online - October 2025. 4. William Brabston, Dan Lev, Mitchell L. R. Walker, "Hall Thruster Performance and Efficiency Analysis of a Molecular Propellant," Journal of Propulsion and Power, Published Online, August 2025. 5. Igor Levchenko, Dan Goebel, Daniela Pedrini, Riccardo Albertoni, Oleg Baranov, Igal Kronhaus, Dan Lev, Mitchell L. R. Walker, Shuyan Xu, Kateryna Bazaka, "Recent Innovations to Advance Space Propulsion Technologies," Progress in Aerospace Sciences, Progress in Aerospace Sciences, Vol. 152, January 2025, pp. 100900.
Youjiang Wang
School
AE
Phone
+1 404.894.7551
Office
MRDC-I, 4507
Education
Ph.D., 1989, Mechanical Engineering, Massachusetts Institute of Technology S.M., 1985, Mechanical Engineering, Massachusetts Institute of Technology B.S., 1982, Textile Engineering, Donghua University
Google Scholar
https://scholar.google.com/citations?user=-k8gv6EAAAAJ
School Page
https://www.mse.gatech.edu/people/youjiang-wang
Teaching Interests
Professor Wang’s teaching interests center on core materials science and engineering principles at both undergraduate and graduate levels. He emphasizes foundational topics such as materials characterization, thermodynamics, and kinetics, aligned with aerospace engineering applications. His instructional approach integrates theory with practical insights, aiming to develop students’ analytical and experimental skills. Professor Wang actively involves students in interdisciplinary learning experiences related to advanced materials and their functional properties. (66 words)
Research Interests
Professor Wang’s research focuses on the design, characterization, and optimization of advanced functional materials for aerospace applications. His work involves investigating structure-property relationships and developing novel fabrication and processing methods. Emphasis is placed on the integration of experimental techniques to understand materials behavior under various conditions. The research aims to innovate materials with enhanced mechanical, thermal, and electrical performance, supporting emerging aerospace technologies. (67 words)
Recent Publications
90. Lingling Meng, Youjiang Wang, Qufu Wei, Xinmin Huang, Jiayu Shen & Hongwei Chen (2021) Study on the structure and properties of Ag/Cu nanocomposite film deposited on the surface of polyester substrates, The Journal of The Textile Institute, 112:10, 1671-1677, DOI: 10.1080/00405000.2020.1838129. 91. Honglin Liu, Karl I. Jacob, and Youjiang Wang, “Scaling in Membrane Distillation (MD): Current State of Art Insight on Mechanisms and Membrane Design”, Desalination, Vol 581 (20), 117539,https://doi.org/10.1016/j.desal.2024.117539 (2024). 92. Vibhor Jain, Xin Li, Karl I. Jacob and Youjiang Wang, “Effect of Strain Rate and Temperature on the Crystallization Behavior of Amorphous Poly(Ethylene Terephthalate) Fibers During Superdrawing”, The Journal of The Textile Institute, Vol 116 (4), 560–574, https://doi.org/10.1080/00405000.2024.2346667 (2025). 93. Honglin Liu, Zifeng Wang, Xuzheng Tian, Karl I. Jacob, Youjiang Wang, Unveiling the water molecule diffusion in graphene aerogels: A molecular dynamics study with statistical analysis for advancing membrane distillation, Journal of Molecular Liquids Volume 433, 1 September 2025, 127891 https://doi.org/10.1016/j.molliq.2025.127891 (2025). 94. Honglin Liu, Zifeng Wang, Xuzheng Tian, Karl I. Jacob, Youjiang Wang, Molecular Investigation of Thermal Conduction and Local Phonon Transport in Graphene Aerogels, International Journal of Heat and Mass Transfer, https://doi.org/10.1016/j.ijheatmasstransfer.2025.127713 (2025)
Shawn Wehe
School
AE
Phone
518-258-7332
Office
NARA Complex, BTZ Combustion Lab, Rm 110
Education
Ph.D. Stanford University, 2000; M.S. SUNY Buffalo, 1990; B.S. SUNY Buffalo, 1998
Google Scholar
https://scholar.google.com/citations?user=UX8d2hAAAAAJ
School Page
https://ae.gatech.edu/directory/person/shawn-wehe
Teaching Interests
Professor Wehe’s teaching interests encompass core aerospace engineering topics including propulsion, fluid mechanics, and thermodynamics at undergraduate and graduate levels. He emphasizes the integration of theoretical fundamentals with practical applications to prepare students for advanced studies and industry challenges. His instruction incorporates analytical and experimental methods, with a focus on fostering problem-solving skills and critical thinking in aerospace systems and design.
Research Interests
Professor Wehe’s research focuses on the application of non-intrusive diagnostics to harsh environments, specifically combustion associated with materials processing, power generation and propulsion. His work involves experimental and analytical investigation of fluid dynamics and thermodynamic phenomena in engines and propulsion devices. This research aims to enhance efficiency, performance, and reliability of applied combustion technologies by studying fundamental combustion mechanisms and flow behavior under various operational conditions.
Recent Publications
A Bhagat, JH MIller, S Wehe, S Jo, AM Steinberg, Characterization of Premixed Swirl Stabilized Combustion in a Supersonic Underexpanded Jet, AIAA SCITECH 2025 Forum, 1383, 2025 R Vishwanath, O Bibik, D Olimid, E Douglas, A Fan, S Wehe, ..., Drop-Size Measurements Using Phase Doppler Particle Anemometry in a Confined High-Pressure Sector Combustor, AIAA SCITECH 2025 Forum, 1519, 2025 T Tkachenko, S Wehe, The Application of Phase Sensitive Detection in High-Resolution Acoustic Measurements, 2024 Regional Student Conferences, 84693, 2024 RD McGrath, JC Juergensmeyer, R Bond, E Bugay, S Wehe, D Wu, ..., Study of Soot Formation in a Multi-sector RQL Aeroengine Combustor, AIAA SCITECH 2024 Forum, 2828, 2024 R McGrath, J Juergensmeyer, R Bond, E Bugay, S Wehe, D Wu, ..., Planar laser-induced incandescence for the study of soot production in a multi-sector RQL Jet A combustor, Applications in energy and combustion science 18, 100269, 2024
Neil Weston
School
AE
neil.weston@aerospace.gatech.edu
Phone
404-385-2644
Office
Weber, 322
Education
Ph.D. Aerospace Engineering Georgia Institute of Technology, 2000 M.S. Aerospace Engineering Georgia Institute of Technology, 1985 B.S. Aerospace Engineering Georgia Institute of Technology, 1984 B.S. Mathematics Montana Tech, 1977
School Page
https://ae.gatech.edu/directory/person/neil-r-weston
Teaching Interests
Dr. Weston's teaching interests emphasize foundational and advanced courses in aerospace engineering, covering areas such as fixed-wing design, aerodynamic principles, and computational methods. His instruction integrates both undergraduate and graduate education, aiming to develop core technical skills and critical thinking. Dr. Weston is committed to fostering analytical problem-solving and conceptual understanding within the aerospace discipline.
Research Interests
Dr. Weston's main areas of interest include developing and implementing new methods for systems design and optimization, developing physics-based simulation models, and all areas of theoretical, applied and computational mechanics. This work has stimulated an interest in incorporating Python software design tools into the design process for complex systems. Current and past projects include the development of a modeling and simulation framework for the conceptual design of electric powered unmanned aircraft and the modeling and simulation of supply chain networks for strategic materials for the aerospace industry. The research program actively involves graduate and undergraduate student participation.
Recent Publications
"Repeatable Methodology for Analysis and Decision Making Regarding Strategic Aerospace Material Supply Chains," Lin Al Atik, Maxwell T. Hoem, Titien Berberian, Ghizlane Jari, Neil Weston, and Dimitri N. Mavris, AIAA SciTech Forum, Orlando, FL, January, 2025 “Incorporating Scenario Variation into Capability-Based (Inverse) Design to Improve Complex System Architectures,” Christian Coletti, Samuel Ferguson, Oluwalonigha D. Akinola, Alexander Kehler, Adam Cox, Neil Weston, Alicia Sudol, Dimitri N. Mavris1, AIAA SciTech Forum, Orlando FL, January 8-12, 2024 “Strategic Materials in Aerospace: A Decision Support Framework for Assessing Geopolitical, Economic, and Sustainability Scenarios,” Nitya Maruthuvakudi Venkatram, Aparna Ravi, Arvindh E. Prasad, Sara Alsabeeha, Neil R. Weston, and Zhimin Liu, Dimitri Mavris, AIAA SciTech Forum, Orlando FL, January 8-12, 2024 “Life Cycle Assessment and Risk Evaluation of CFRP in Aerospace,” Nitya Maruthuvakudi Venkatram, Sara Alsabeeha, Neil R. Weston, and Zhimin Liu, Dimitri Mavris, AIAA SciTech Forum, Orlando FL, January 8-12, 2024 “Life Cycle Assessment and Risk Management of Titanium for Aerospace Applications,” Sara Alsabeeha, Nitya Maruthuvakudi Venkatram, Neil R. Weston, and Zhimin Liu, Dimitri Mavris, AIAA SciTech Forum, Orlando FL, January 8-12, 2024
Vigor Yang
School
AE
Phone
404-894-8409
Office
Guggenheim, 366
Education
Ph.D., Mechanical Engineering, California Institute of Technology (1984) M.S., Mechanical Engineering, The Pennsylvania State University (1980) B.S., Power Mechanical Engineering, National Tsing Hua University, Taiwan (1976)
Google Scholar
https://scholar.google.com/citations?user=eWt-ywwAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/vigor-yang
Teaching Interests
Professor Yang’s teaching is focused on core aerospace engineering topics spanning fluid mechanics, thermodynamics, and propulsion systems. He instructs undergraduate and graduate courses that emphasize fundamentals and application of compressible flow and jet propulsion principles. His teaching approach integrates analytical and computational methods to prepare students for research and industry challenges in aerospace vehicles and energy conversion.
Research Interests
Professor Yang’s research centers on experimental and theoretical investigations in compressible fluid dynamics and propulsion. His work explores high-speed flows, jet noise, and energy systems with the objective of enhancing efficiency and performance. Research projects involve characterization of complex flow phenomena through advanced diagnostics and modeling, contributing to fundamental understanding relevant to aerospace propulsion and energy applications.
Recent Publications
MS Jo, BK Sung, SM Jeong, JY Choi, V Yang, U Unnikrishnan, LES Investigation on the Supersonic Turbulent Combustion in Dual Combustion Ramjet Engine, AIAA SCITECH 2025 Forum, 2487, 2025 BK Sung, JY Choi, V Yang, Resonant phenomena in detonative tangential combustion instability in a rocket combustor, Physics of Fluids 37 (5), 2025 Y An, B Wang, Z Peng, X Chen, V Yang, Mechanistic insights and practical applications of impinging-jet dynamics and atomization, Acta Mechanica Sinica 41 (7), 125469, 2025 BK Sung, MS Jo, JY Choi, U Unnikrishnan, V Yang, Supersonic Combustion and Flow Evolution in Dual-Combustion Ramjet Engine, Journal of Propulsion and Power, 1-14, 2025 X Wang, V Yang, Emulation of Complex Fluid Flows: Projection-Based Reduced-Order Modeling and Machine Learning, Walter de Gruyter GmbH & Co KG, 2025
Pui-Kuen Yeung
School
AE
Phone
404-894-9341
Office
Guggenheim, 361
Education
B.Sc(Eng.), Mechanical Engineering, 1980, University of Hong Kong; M.Phil., Mechanical Engineering, 1984, University of Hong Kong; Ph.D., Mechanical Engineering, 1989, Cornell University;
Google Scholar
https://scholar.google.com/citations?user=z9-FlfIAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/pui-kuen-yeung
Teaching Interests
Professor Yeung teaches aerospace engineering classes at both undergraduate and graduate levels, including in aerodynamics, viscous flows, and turbulence.
Research Interests
Professor Yeung's research interests are focused on incompressible turbulence, including similarity scaling, extreme events, Lagrangian intermittency, dispersion, mixing, as well as electromagnetic forces; and the pursuit of fundamental understanding via direct numerical simulations at the highest resolutions feasible at a given time. He has been active in the computational science community, and has received large resource allocations at many national supercomputer centers, including currently those at the Oak Ridge National Laboratory and at the University of Texas at Austin. Professor Yeung's research is primarily funded by the U.S National Science Foundation, including fluid dynamics and cyberinfrastructure programs. He is a Fellow of the American Physical Society and of the American Society of Mechanical Engineers. He and his group have developed GPU algorithms on the world's first exascale computer and used them to perform a world-record direct numerical simulation of isotropic turbulence represented by over 35 trillion grid points.
Recent Publications
R Uma-Vaideswaran, J Romero, DL Dotson, D Appelhans, PK Yeung, A Peak Performance Model for All-to-all on Hierarchical Systems and Its Applications, Proceedings of the SC'25 Workshops of the International Conference for High …, 2025 PK Yeung, K Ravikumar, R Uma-Vaideswaran, DL Dotson, ..., Forced isotropic turbulence at Taylor-scale Reynolds number 2500: structure functions and acceleration statistics, Division of Fluid Dynamics Annual Meeting 2025, 2025 R Uma-Vaideswaran, PK Yeung, Numerical study of Lagrangian velocity structure functions using acceleration statistics and a spatial-temporal perspective, arXiv preprint arXiv:2512.17078, 2025 Yeung, P.K., Ravikumar, K., Nichols, S. and Uma-Vaideswaran, R. GPU-enabled extreme-scale turbulence simulations: Fourier pseudo-spectral algorithms at the Exascale using OpenMP offloading. Computer Physics Communications, Vol.~306, 109364, 2025. Yeung, P.K. and Ravikumar, K. Advancing understanding of turbulence through extreme-scale computation: Intermittency and simulations at large problem sizes. Physical Review Fluids Vol.~5, 110517 (2020)
Turab Zaidi
School
AE
Phone
404-894-5664
Office
Weber, 210B
Education
Ph.D. in Aerospace Engineering, Georgia Institute of Technology, 2016
Google Scholar
https://scholar.google.com/citations?user=N4nzQ6QAAAAJ
School Page
https://ae.gatech.edu/directory/person/turab-ali-zaidi
Teaching Interests
Professor Zaidi’s teaching interests include core aerospace engineering subjects at both undergraduate and graduate levels, emphasizing aerodynamics, propulsion, and systems integration. He is committed to fostering analytical and practical skills essential for aerospace engineering students, dedicating significant effort to mentoring and involving students in hands-on learning experiences and research activities.
Research Interests
Professor Zaidi’s research focuses on the development and application of systems engineering, probabilistic assessment, and uncertainty quantification. His work includes the investigation of environmental aviation research, propulsion system optimization, and the integration of emerging aerospace technologies to enhance performance and efficiency. The research actively engages both graduate and undergraduate students in experimental and computational methodologies.
Recent Publications
T Pattanayak, J Uzodinma, R Gautier, T Zaidi, D Mavris, Uncertainty Analysis for Hybrid Electric Propulsion in NASA EPFD Vehicles, 2025 IEEE/AIAA Transportation Electrification Conference and Electric …, 2025 T Pattanayak, J Uzodinma, RH Gautier, M Walter, T Zaidi, D Mavris, Uncertainty analysis of turbofan and turboprop architectures for hybrid electric propulsion in nasa epfd vehicles, AIAA aviation forum and ascend 2024, 3826, 2024 J Gladin, E Aydin, J Kenny Jr, A Burrell, J Decroix, T Zaidi, R Gautier, ..., Reassessment of Parametric Optimization and Performance Analysis Methodology for Mild Hybrid Aircraft Propulsion Systems, 34th Congress of the International Council of the Aeronautical Sciences …, 2024 M Walter, J Uzodinma, T Zaidi, RH Gautier, L Teta, DN Mavris, Sensitivity Analysis within the Benefit Region of the NASA Parallel Hybrid-Electric Propulsion EPFD Vehicle, AIAA AVIATION 2023 Forum, 4504, 2023 RH Gautier, L Teta, J Uzodinma, T Pattanayak, M Walter, T Zaidi, ..., Impact of technological uncertainty on design parameter selection of the nasa parallel hybrid-electric propulsion epfd vehicle, AIAA Aviation 2023 Forum, 4501, 2023
Yuxiang(Beckett) Zhou
School
AE
Phone
+1 404.894.2000
Office
Weber, 211D
Education
B.A.Sc., Engineering Science (Aerospace Engineering Major), University of Toronto, 2005 S.M., Aeronautics and Astronautics, Massachusetts Institute of Technology, 2012 Ph.D. (Dr.-Ing.), Computational Engineering Sciences, RWTH Aachen University, 2018
Google Scholar
https://scholar.google.com/citations?user=KGpeCYUAAAAJ&hl=en
School Page
https://ae.gatech.edu/directory/person/beckett-zhou
Teaching Interests
Professor Zhou’s teaching interests encompass foundational and advanced topics in aerospace engineering, including aerodynamics, fluid mechanics, and experimental methods. His instruction integrates theoretical concepts with hands-on laboratory experience to prepare undergraduate and graduate students for research and professional practice. Professor Zhou emphasizes the development of analytical and experimental skills essential for addressing complex aerospace engineering challenges. (67 words)
Research Interests
Professor Zhou’s research is centered on experimental fluid dynamics and aerodynamics, with a focus on understanding flow physics using advanced diagnostic techniques. His work aims to elucidate turbulence, flow control, and aerodynamic performance in aerospace systems. Professor Zhou’s research actively involves graduate and undergraduate students, fostering the development of experimental methodologies to investigate fundamental and applied problems in aerospace engineering. (66 words)
Recent Publications
F Han, LF Lopes de Moraes Filho, D Rezgui, BB Turhan, M Azarpeyvand, ..., Investigation of Aerodynamic and Aeroacoustic Performance of Various Distributed Electric Propulsion Configurations, AIAA AVIATION FORUM AND ASCEND 2025, 3644, 2025
LF Lopes de Moraes Filho, BB Turhan, A Franco, L Trascinelli, D Rezgui, ..., Assessment of aeroacoustic simulations for the installation noise of a propeller-wing configuration in forward flight using multi-fidelity solvers, AIAA AVIATION FORUM AND ASCEND 2025, 3642, 2025
L Trascinelli, L Bowen, BY Zhou, B Zang, Flow and acoustic characteristics of isotropic turbulence interacting with a symmetric airfoil, Physics of Fluids 37 (2), 2025
BY Zhou, L Hanson, SF Pullin, B Zang, J Hauth, X Huan, Data-Driven Propeller Noise Prediction Approach with Transfer and Active Learning, AIAA Journal, 1-12, 2025
L Abergo, BY Zhou, A Guardone, Tonal noise optimization of propeller using a steady adjoint method, The Journal of the Acoustical Society of America 158 (1), 651-662, 2025