معرفی
Xin Chen is an Adjunct Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign. His research focuses on stochastic systems, inventory management, pricing strategies, and reinforcement learning applications in operations research. He collaborates internationally on projects involving stochastic optimization, supply chain dynamics, and decision-making under uncertainty. His work bridges theoretical advancements with practical applications in logistics, finance, and algorithm design.
Key research areas include: stochastic inventory control, dynamic pricing models with reference price effects, convex optimization techniques in operations, and causal analysis in reinforcement learning. He has explored topics such as asymptotic policy optimality, robust optimization frameworks, and algorithmic solutions for complex systems with uncertain parameters.
Recent publications emphasize multi-agent systems, network revenue management, and decision-making under stochastic constraints. His work on market selection and inventory control integration highlights innovative approaches to multi-objective optimization. Collaborations span institutions globally, with notable contributions to the theory of L-convexity and its applications in operations.
Xin Chen’s research also addresses practical challenges such as cold start problems in online advertising, vaccine distribution under scarcity, and resilience strategies for power systems through spectral graph clustering.
