About
I’m Sungjun Eom, a graduate student at the University of Seoul, pusuing M.S. in Electrical and Computer Engineering. Before starting M.S., I got a double major in Electrical and Computer Engineering and Statistics.
Currently, I am contributing to the advancement of the differential dynamic programming algorithm at the Control and Dynamic Systems Lab. I have also gained experience in deep learning and speaker verification through previous research internships. Additionally, my military service in the Republic of Korea Air Force enhanced my leadership and technical skills, particularly in managing secure wide-area communication systems.
I’m particularly interested in developing learning methods for dynamical systems/control systems in low-data regimes. I also hope to contribute to deep learning theory from a system-theoretic perspective. Ultimately, by bridging machine learning theory with real-time physical systems, I want to narrow the gap between the computerized world and the real physical world we are living in.
Feel free to reach out to discuss collaborative opportunities or learn more about my work!