Putting Research to the Test: AE Doctoral Dissertations

Each year, the Daniel Guggenheim School of Aerospace Engineering graduates between 30 and 40 doctoral students - each with unique contributions to make in research, academia, industry, and the evolution of the discipline itself. On this page, we provide links to their abstracts and their published dissertations. We're also introducing Next Gen Ideas, a video series in which our doctoral candidates will have ~ 3 minutes to explain research that took them years to produce. (No one ever said aerospace engineering was easy.) Click on the video above to get started.

2021 - 2022 Doctoral Dissertations

Marc Salvadori: "Numerical Investigations of Fuel-Oxidizer Mixing on the Propagation of a Detonation Wave" (Advisors: Prof. Devesh Ranjan & Prof. Suresh Menon

Recently, the scientific community is migrating toward exploring the use of a detonation wave for engineering purposes to innovate combustor technologies and increase efficiency. read the abstract

Zhenyu Gao: "Representative Data and Models for Complex Aerospace Systems Analysis" (Advisor: Prof. Dimitri N. Mavris)

Catalyzed by advances in data quantity and quality, effective and scalable algorithms, and high-performance computation, the data-intensive transformation is rapidly reframing the aerospace industry. read the abstract

Zhaoyi Xu: "Novel Architecture and Machine Learning Models for System Prognostic and Remaining Useful Life Prediction with Uncertainty Quantification" (Advisor: Prof. Joseph Homer Saleh)

Unexpected failures in engineering systems or equipment often lead to significant disruptions and losses. A key element for maintenance planning and system safety analysis is prognostic and remaining useful life (RUL) prediction. read the abstract

John Matthew Brewer: "Planning for Satellite Actuator Failure: A Falsification Approach Towards Certification of Contingency Controllers" (Advisor: Prof. Panagiotis Tsiotras)

Today, more satellites are being launched at a rate never seen before. This is due, in part, to the miniaturization of technology and the increasing reliance on smaller satellites which are cheaper to build, launch, and replace compared to the large monolithic satellites of the past. read the abstract

Achyut Panchal: "Modeling Moderately Dense to Dilute Multiphase Reacting Flows" (Advisor: Prof. Suresh Menon)

Computational modeling of multiphase flows consists of two broader sets of methods: resolved approaches where the multiphase entities (MPE) are larger and resolved on the computational grid, and dispersed approaches where the MPEs are relatively small and not resolved on the grid but they are treated as point-particles that interact with the background continuum. read the abstract

Mark Bateman: "Reduced Order Non-INtrusive (RONIN) Modeling for Strategic Defense Planning" (Advisor: Prof. Dimitri Mavris)

The Department of Defense along with research organizations like RAND have documented a strategic gap acknowledging the need for improvements in the ability to conduct exploratory analyses to support capability development that seek to exploit both technological and doctrinal conceptual solutions. read the abstract