Sungsu Park, Ph.D.
Sungsu Park is a Professor of Aerospace Engineering at Sejong University, Seoul, Korea. Previously, he was a research engineer at Agency for Defense Development (ADD) and at Hyundai Aerospace Industries, and a postdoctoral researcher at UC Berkeley ITS. His current research focus is on machine learning and optimization applications in guidance, navigation, and control system.

Professor Park received BS and MS degrees from Seoul National University and a PhD degree from UC Berkeley. In 2003 he joined the faculty of Department of Aerospace Engineering at Sejong University. He was also a visiting scholar at University of Hawaii in 2021 and at Stanford University in 2009 and 2013.

Professor Park is the author of textbooks: Deep Reinforcement Learning (2021), DCM, Euler Angles, and Quaternion (2020), Kalman Filter (2020), and Orbital Mechanics (2009); and many research papers on the areas of navigation and control. He teaches graduate courses on Linear Dynamical Systems and Kalman Filtering, and undergraduate courses on Orbital Mechanics, Automatic Control, Flight Mechanics, Signals and Systems, Dynamics, and Engineering Vibration.

Professor Park is a member of American Astronautical Society, and American Institute of Aeronautics and Astronautics.

He holds a pilot license of an ultra light vehicle.

Email: sungsu at sejong dot ac dot kr

Phone: +82-2-3408-3769

Blog: Deep Campus - AI for Dynamics and Control