Academic Experience
Appointments
Professor of Industrial and Management Engineering, POSTECH, 2024/03 - present
Associate Professor of Industrial and Management Engineering, POSTECH, 2017/09 - 2024/02
Visiting Scholar of Industrial & Operations Engineering, University of Michigan, 2019/09 - 2020/08
Assistant Professor of Industrial and Management Engineering, POSTECH, 2013/02 - 2017/08
Service
Associate Editor, IISE Transactions (on Operations Engineering and Analytics), 2019/07 - present
Secretary, INFORMS Telecommunications and Network Analytics section, 2020/12 - present
Editorial Board Member, Journal of the Korean Institute of Industrial Engineers, 2015/01 - present
Board Member, The Korean Operations Research and Management Science Society, 2020/01 - present
Council Member, INFORMS Telecommunications and Network Analytics section, 2016/11 - 2020/11
Board Member, Korean Institute of Industrial Engineers, 2015/05 - 2016/12
Teaching
IMEN266 Operations Research II: This course was formerly known as Probability Modeling & Analysis (IMEN366). This course covers basic modeling tools to handle stochastic systems such as Markov Chains, Poisson processes, and Continuous-Time Markov Chains. The elementary queueing theory is also covered with a group project.
IMEN666 Applied Stochastic Processes: This course covers basic theories of modeling stochastic processes such as Markov Chains, Poisson processes, Renewal processes, Continuous-Time Markov Chains, and Brownian motions. This course focuses more on the theoretical aspects of those processes than practical applications.
IMEN763 Nonlinear Programming: The objective of this course is to give graduate students an introduction to nonlinear programming (specifically focusing on convex optimization). Students are expected to have proper knowledge in linear algebra, calculus, linear programming, and other basic OR techniques which are normally expected to be covered in the undergraduate operations research curriculum.
IMEN766 Queueing Theory: Students will learn various techniques for the performance analysis of queueing systems and networks.Â