TEES Distinguished Research Professor
Department of Aerospace Engineering
Research Interests
- Interdisciplinary research
- Tensegrity systems
- Integrating structure and control design
- Education
- System identification, getting models from data
Rodney Inmon
Manager, Laboratory Technical
Hannah Lehman
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 1st in the 2018 AIAA Region IV Student Paper Conference.
Christopher Leshikar
Christopher Leshikar is a Ph.D. student in the aerospace engineering department. Chris has been an active member of VSCL since Spring 2017, working on non-linear multiple-time-scale control theory and system identification. As an undergraduate, he attained internships with the Texas A&M University System Office of Federal Relations and the Defense Intelligence Agency (cancelled due to COVID-19). Chris graduated with a B.S. in aerospace engineering with Engineering Honors in December 2020. As a Graduate Research Assistant, he will be researching control of nonlinear multiple time-scale systems, and online near real-time system identification, which is sponsored by the National Science Foundation.