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Byeong Soo Kim (김병수)
Associate Professor
Department of Applied Artificial Intelligence
Seoul National University of Science and Technology (SeoulTech)
E-mail: bskim@seoultech.ac.kr (eebskim@gmail.com)
Tel: +82-2-970-9779
Office: #407, Sangsang Hall, SeoulTech, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, Korea
(서울특별시 노원구 공릉로 232 서울과학기술대학교 상상관 407호)
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Biography
Byeong Soo Kim is currently an Associate Professor in the Department of Applied Artificial Intelligence at Seoul National University of Science and Technology (SeoulTech). He received his B.S., M.S., and Ph.D. degrees from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2010, 2012, and 2018, respectively. Before joining SeoulTech in 2022, he worked as a Staff Engineer at Samsung Electronics from 2018 to 2020 and subsequently served as an Assistant Professor in the School of Software Convergence at Myongji University from 2020 to 2022.
His research interests include digital twins, modeling and simulation of discrete-event systems, artificial intelligence and deep learning, AI–simulation integration, physical AI, and intelligent manufacturing systems. His current research focuses particularly on developing intelligent digital twin and simulation technologies that enable model generation, prediction, optimization, and autonomous decision-making for complex physical and manufacturing systems.
Education
Ph.D. in Electrical Engineering, KAIST, Daejeon, Korea, 2018
M.S. in Electrical Engineering, KAIST, Daejeon, Korea, 2012
B.S. in Electrical Engineering, KAIST, Daejeon, Korea, 2010
Daejeon Science High School, Daejeon, Korea
Working Experiences
Associate Professor, Department of Applied Artificial Intelligence, SeoulTech, Seoul, Korea (2025 ~ Current)
Assistant Professor, Department of Applied Artificial Intelligence, SeoulTech, Seoul, Korea (2022 ~ 2025)
Assistant Professor, School of Software Convergence, Myongji University, Seoul, Korea (2020 ~ 2022)
Staff Engineer, Global Technology Center, Samsung Electronics, Suwon, Korea (2018 ~ 2020)
Honors & Awards
1st Annual Best Paper of the Year from The Society for Modeling and Simulation International (SCS), Apr 2019
Paper Title: "Data Modeling versus Simulation Modeling in the Big Data Era: Case Study of a Greenhouse Control System"
Authors: Byeong Soo Kim, Bong Gu Kang, Seon Han Choi, Tag Gon Kim
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