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Abhishek Cauligi is an Assistant Professor in the Department of Mechanical Engineering at Johns Hopkins University. His research focuses on spacecraft robotic autonomy, utilizing nonlinear optimization, machine learning, and control theory to advance autonomous space exploration. He has previously worked as a Robotics Technologist at NASA's Jet Propulsion Laboratory, where he gained extensive experience in trajectory optimization through the application of machine learning techniques. He received his PhD in Aeronautics and Astronautics from Stanford University, where his work concentrated on using machine learning to accelerate trajectory optimization processes in the context of experiments conducted on the International Space Station.
NASA Jet Propulsion Laboratory • Pasadena, CA
Worked on trajectory optimization and applied machine learning techniques for space applications.
Department of Pathology - PhD in Pathobiology. GRE is not required.