PROFESSOR

Biography

Byeong Soo Kim is currently an Associate Professor of 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 the faculty at SeoulTech in 2022, he worked as a Staff Engineer at Samsung Electronics from 2018 to 2020, then as an Assistant Professor in the School of Software Convergence at Myongji University from 2020 to 2022. His research focuses on digital twin, deep learning, modeling & simulation of discrete event systems, convergence of artificial intelligence & simulation, and smart manufacturing. He is also interested in convergence research of various ICTs in the era of the fourth industrial revolution.

Education

• Ph.D. in Electrical Engineering, KAIST, Daejeon, Korea (2012 ~ 2018)

• M.S. in Electrical Engineering, KAIST, Daejeon, Korea (2010 ~ 2012)

• B.S. in Electrical Engineering, KAIST, Daejeon, Korea (2006 ~ 2010)

• Daejeon Science High School, Daejeon, Korea (2004 ~ 2006)

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)

• Research Assistant, Department of Electrical Engineering, KAIST, Daejeon, Korea (2010 ~ 2018)

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