공지사항

Dr. Seulki Lee is an assistant professor at the Department of Computer Science and Engineering (CSE) and Artificial Intelligence Graduate School (AIGS) at UNIST, where he leads Embedded AI Lab. He earned his Ph.D. and M.S degrees in Computer Science at the University of North Carolina at Chapel Hill (UNC) in 2021 and 2018, respectively, and received his B.S degree in Electrical and Computer Engineering from the University of Seoul in 2009. Prior to starting his Ph.D., he designed sensor system architecture and intelligent sensing algorithms at Samsung Electronics. His research aims to make resource-constrained real-time and embedded sensing systems capable of learning, adapting, and evolving, which facilitates Embedded AI. He published peer-reviewed papers in top-tier international conferences in embedded systems and AI fields, including MobiSys, SenSys, IPSN, UbiComp (IMWUT), RTAS, and DCOSS. He received the best paper award in AIoTChallenge (2020) and the best presentation award in UbiComp (2020). Since 2019, he has served as a Technical Program Committee and Reviewer of several international conferences, including SenSys, CSCW, IMWUT, CHASE, IEEE TC, IEEE TMC, and IEEE TETC.