معرفی
Bo Wei is an Assistant Professor in the Faculty of Business Administration at Ozyegin University, specializing in Operations Management. He holds a PhD in Industrial and Systems Engineering from Texas A&M University, an MS in Control Theory, and a BS in Automation from the University of Science and Technology of China. Prior to joining Ozyegin, he served as a visiting assistant professor at Bilkent University and a research fellow at the National University of Singapore.
His educational background:
- PhD in Industrial and Systems Engineering, Texas A&M University
- MS in Control Theory, University of Science and Technology of China
- BS in Automation, University of Science and Technology of China
Dr. Wei's research centers on stochastic analysis and control theory (optimal control, robust control, adaptive control) with applications to service systems, alongside constrained convex optimization, online optimization, inventory control, supply chain management, and service systems. His work bridges theoretical developments in stochastic processes and optimization with practical operations management challenges, emphasizing mathematical rigor in solving real-world logistical problems.
His publication record (2014-2025) reveals a consistent focus on stochastic clearing systems, shipment consolidation, and inventory control. He employs advanced techniques including diffusion processes, semi-infinite programming, and randomized algorithms to analyze service performance, delay penalties, and optimization under uncertainty. The research demonstrates strong interdisciplinary connections between probability theory, operations research, and supply chain applications.
Dr. Wei has not been mentioned to have received any scientific awards in the provided text.
Information about Dr. Wei's advising activities, research grants, laboratories, or collaborative teams is not provided in the text. He teaches core operations courses including Business Decision Modeling (BUS 201), Service Operations Management (OPER 314), and Operations Management (OPER 202).
