 |
The University of Maryland (UMD) Department of Aerospace Engineering welcomes new faculty member, Assistant Professor John Martin. Martin joins the department from the University of Colorado, Boulder where he received his Ph.D. and M.S. in Aerospace Engineering Sciences specializing in Astrodynamics and Satellite Navigation.
Martin leads the Machine Learning for Dynamical Systems Lab where his research focuses on the intersection of machine learning and astrodynamics research.
His current research focus is on the construction of high-fidelity and reliable machine learning dynamics models that can be leveraged onboard spacecraft for guidance, navigation, and control purposes. His work makes frequent use of scientific machine learning, developing models with physics-informed neural networks and neural ordinary differential equations (neural ODEs), as well as reinforcement learning to enhance autonomous capabilities of satellite in deep space environments.
“I’m beyond excited to be joining the faculty here at UMD," said Martin. "This department has such an exceptional reputation in autonomy and robotics for aerospace, and it is uniquely positioned next to some of the largest space research centers and companies in the country. I hope to use my lab and the excellent student talent at UMD to develop cutting-edge machine learning algorithms to enable the next generation of spaceflight.”
He received his B.S. in Physics and Astronomy and B.A in Music from the University of North Carolina, Chapel Hill.
Related Articles:
ArtIAMAS receives third-year funding of up to $15.1M
Developing Efficient Systems for Deep Sea Exploration
CSRankings places Maryland robotics at #10 in the U.S.
New algorithms for multi-robot systems in low communication situations
Inaugural shuttle ride from College Park to Southern Maryland a great success
Shuttle service between Kim Building and SMART Building/MATRIX Lab now operating
Building bridges for technology research and education across Maryland
MRC and MAGE Earn ARM Institute Endorsement
USMSM Debuts SMART Innovation Center
UMD, UMBC, ARL Announce Cooperative Agreement to Accelerate AI, Autonomy in Complex Environments
September 27, 2023
|
