QIN Wei

QIN Wei is a Faculty member in the Department of Industrial Engineering and Management at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research interests include modeling, control, and optimization of complex systems, as well as theory, methods, and applications of machine intelligence. He has led several research projects funded by national and regional programs, focusing on intelligent manufacturing, data-driven optimization, and industrial automation. His work has been published in various international journals, contributing to advancements in production systems and process optimization.

Wei Qin is a researcher at Shanghai Jiao Tong University with expertise in Operation Research and Data Science. Their work focuses on developing advanced algorithms for complex industrial and transportation systems. Key research areas include optimization techniques for scheduling, fault diagnosis, and network analysis. Qin's publications explore topics such as reinforcement learning for vehicle routing, deep learning for fault detection, and causal inference for industrial processes. They also investigate the impact of network topology on transportation robustness and apply data-driven methods for quality prediction and yield analysis. Their research integrates machine learning, operations research, and complex systems analysis to address real-world challenges in manufacturing and logistics.