معرفی
Seunghan Lee is an Assistant Professor in the Industrial and Systems Engineering Department at Mississippi State University (MSU). He holds a Ph.D. in Systems & Industrial Engineering from the University of Arizona (2019), an M.S. in Operations Research from Georgia Tech (2015), and dual M.S. and B.S. degrees in Industrial Engineering from Seoul National University (2008 and 2006). Prior to MSU, he served as an Assistant Professor of Teaching at SUNY Buffalo.
Education:
- Ph.D., Systems & Industrial Engineering, University of Arizona (2019)
- M.S., Operations Research, Georgia Institute of Technology (2015)
- M.S., Industrial Engineering, Seoul National University (2008)
- B.S., Industrial Engineering, Seoul National University (2006)
Research Interests: His work focuses on simulation methodologies integrating optimization and stochastic processes, particularly for socio-economic decision support systems under uncertainty. Applications include disaster management, homeland security, smart cities, and healthcare operations. Key techniques include agent-based simulation (ABS), discrete-event simulation (DES), Bayesian optimization, and statistical computing.
Awards:
- Best Paper Award, IISE Annual Conference (2016, 2018)
- Outstanding Graduate Teaching Assistant Award, University of Arizona (2019)
Advising & Grants: While no student advisees are listed, his research has been supported through collaborations on projects involving disaster management frameworks, smart surveillance systems, and medical training simulations. His work often involves interdisciplinary teams addressing real-world operational challenges.
Labs & Teams: Engages in collaborative projects leveraging digital twins, dynamic data-driven applications (DDDAMS), and hybrid simulation models for applications in healthcare, security, and urban planning.
