Shumon Koga

Shumon Koga received the B.S. degree in Applied Physics from Keio University (Japan) in 2014, and the M.S. and Ph.D. degrees in Mechanical and Aerospace Engineering from the University of California, San Diego (USA) in 2016 and 2020, respectively. He is currently a Postdoctoral Researcher at Existential Robotics Laboratory in Electrical and Computer Engineering at the University of California, San Diego.

He was an intern at NASA Jet Propulsion Laboratory (USA) and Mitsubishi Electric Research Laboratories (USA), during the fall of 2017 and the summer of 2018, respectively. He received Robert E. Skelton Systems and Control Dissertation Award from UC San Diego Center for Control Systems and Dynamics in 2020, the O. Hugo Schuck Best Paper Award from American Automatic Control Council in 2019, and the Outstanding Graduate Student Award in Mechanical and Aerospace Engineering from UC San Diego in 2018, respectively.

He is currently focused on optimization and machine learning techniques for robotics, in particular, Simultaneous Localization and Mapping (SLAM), path planning, and safety-critical systems. His past research interests include distributed parameter systems, optimization by extremum seeking, and their applications to additive manufacturing, battery management, thermal management in buildings, transportation systems, and global climate systems.