Dr. Sungsu Park is a Professor in the Department of Aerospace Engineering at Sejong University in Seoul, Korea, where he has been a faculty member since 2003. His research interests lie in the fields of guidance, navigation, and control (GNC) systems, with a particular focus on the integration of machine learning and optimization techniques.

Professor Park earned B.S. and M.S. degrees in Aerospace Engineering from Seoul National University and received his Ph.D. from the University of California, Berkeley, as a recipient of the Korean Government Scholarship. He completed his postdoctoral research at the UC Berkeley ITS.

Prior to his doctoral studies, he worked as a research engineer at the Agency for Defense Development (ADD) and Hyundai Aerospace Industries. He has also been a visiting scholar at several leading institutions, including Stanford University (2009, 2013), the University of Hawaii (2021), and University College London (2024).

Professor Park is the author of multiple textbooks, including Deep Reinforcement Learning (2021), DCM, Euler Angles, and Quaternion (2020), Kalman Filter (2020), and Orbital Mechanics (2009). He has published extensively on GNC topics in aerospace systems.

At Sejong University, he teaches a range of graduate-level courses such as Linear Dynamical Systems, Kalman Filtering, and Deep Reinforcement Learning, as well as undergraduate courses including Orbital Mechanics, Automatic Control, Flight Mechanics, Signals and Systems, Dynamics, and Engineering Vibration.

Professor Park is a member of the American Institute of Aeronautics and Astronautics (AIAA) and holds a pilot license for ultralight vehicles. He also runs a technical blog titled Deep Campus - AI for Dynamics and Control, where he shares insights and tutorials on the application of artificial intelligence in aerospace systems and control engineering.

Email: sungsu at sejong dot ac dot kr

Blog: Deep Campus - AI for Dynamics and Control