معرفی
Professor Chun-Hung Chen is a distinguished academic at George Mason University’s Volgenau School of Engineering, where he holds the rank of Professor in the Department of Systems Engineering and Operations Research. He has also held professorships at National Taiwan University and visiting roles at institutions like University of Pennsylvania and Microsoft Research Asia.
- Education:
- PhD in Decision and Control, Harvard University (1994)
- MS in Electrical Engineering, National Taiwan University (1989)
- BS in Control Engineering, National Chiao-Tung University (1987)
Research Interests focus on Stochastic Simulation Optimization, particularly his pioneering Optimal Computing Budget Allocation (OCBA) methodology. OCBA enhances simulation efficiency by dynamically allocating computational resources to critical design alternatives, reducing computation time by orders of magnitude. Applications span air transportation, healthcare, power grids, and semiconductor manufacturing.
His 15 most recent articles (2022–2025) explore intersections of simulation optimization, artificial intelligence, reinforcement learning, and personalized medicine, emphasizing computational efficiency and stochastic systems in domains like microgrids and organ transplant logistics.
Scientific Awards include:
- IEEE Fellow (2015)
- K.D. Tocher Medal (2017)
- Best Paper Awards at IEEE CASE (2019), LOGMS (2019), and IEEE ICC (2021)
- Harvard’s Eliahu I. Jury Award (1994)
Advisory roles include editorial leadership in IIE Transactions, Journal of Simulation, and IEEE Transactions series. He has coordinated graduate programs at George Mason (2006–11, 2015–19) and led conferences like INFORMS International Meeting (2025) and Harvard Control Workshop (2024).
His work is funded by organizations such as the National Science Foundation, National Institutes of Health, and Department of Energy, with applications in healthcare logistics and microgrid control.
