People

Reinforcement Learning

Jillian Bennett

Jillian Bennett, a member of VSCL since March of 2023, graduated in May of 2023 with her Bachelor of Science in Aerospace Engineering and Minor in Mathematics. She will complete her M.S. in Aerospace Engineering with the VSCL this May and continue onto her PhD with the lab in the Fall of 2025. As an undergrad, Jillian was an active member of the Aerospace Ambassador program, becoming lead ambassador her senior year. She also welcomed freshmen to Texas A&M as a Fish Camp chair in the Summer of 2022. Additionally, in the Summer of 2022 she was the recipient of the Undergraduate Student Research Grant from Texas A&M. She has interned with Los Alamos National Laboratory and TAMU Material Science and Engineering, working on characterizing impacted materials. She has changed paths, gaining an interest in flight test engineering, reinforcement learning, and adaptive controls. She is working on her thesis project with the Office of Naval Research on Adaptive Control for Multiple Time Scale Systems. This summer, Jillian will intern with the Naval Research Laboratory in Maryland, continuing her research on adaptive, multiple time scale control. She is a two time recipient of the Aerospace Graduate Excellence Fellowship.

Kameron Eves

Kameron Eves is a Ph.D. student in the aerospace engineering department. He graduated from Brigham Young University (BYU) with a B.S. degree in mechanical engineering. He also received minors in mathematics and business. At BYU, Kameron worked in the Multiple Agent Intelligent Coordination and Control (MAGICC) laboratory. At the VSCL, Kameron fills a variety of roles. He spent two years designing, building, and testing a 50 lb multirotor unmanned air vehicle (UAV) for the army to use in autonomous reconnaissance. Kameron was responsible for the software, embedded systems, and dynamic analysis of this UAV. Kameron’s dissertation topic is Adaptive Control for Multiple Time Scale Systems with specific application to hypersonic aircraft. Kameron’s research interests are theoretical and computational dynamics and control of aerospace systems. Additionally, he is interested in engineering teaching methods in higher education. Professionally, he plans to join academia and teach at a university.

Hannah Lehman

lehman@tamu.edu

Hannah Lehman graduated in May 2020 with a Bachelor’s degree from the Department of Aerospace Engineering at Texas A&M University. She has accepted a Graduate Research Fellowship and has joined the Ph.D. program in aerospace engineering starting summer 2020. Dr. John Valasek serves as her research Advisor and Chair of dissertation committee. As a Graduate Research Assistant Hannah researches Tightly Integrated Navigation and Guidance for Multiple Autonomous Agents, which is sponsored by Sandia National Laboratory. She is also participating in a remote 2020 summer internship at Sandia National Laboratory.

Hannah has been an active member of VSCL since Fall 2017, focusing on human-machine interaction and the control of UAS with Machine Learning. She graduated with the B.S. degree in aerospace engineering as a University Scholar, University Honors, and Engineering Honors in May 2020. She has been awarded the 2020 Graduate Merit Fellowship, 2019/2020 AIAA Foundation Cary Spitzer Digital Avionics Scholarship, the 2019 Gathright Phi Kappa Phi Outstanding Junior in the College of Engineering, and placed 1^st in the 2018 AIAA Region IV Student Paper Conference.