Yingjun Shen is a Postdoctoral Fellow at The Chinese University of Hong Kong, Shenzhen, specializing in data-driven optimization and AI-enabled industrial systems. His research integrates machine learning, operations research, and physics-informed modeling to solve challenges in predictive maintenance, renewable energy management, and smart logistics. With a Ph.D. in Business Administration from Nanjing University, Dr. Shen has authored 12+ publications in journals like Transportation Research Part E and Journal of Intelligent Manufacturing, and filed 5 patents on technologies including charging robot scheduling and battery health estimation. He has led R&D for 20+ industry partnerships (e.g., State Grid, Huadian) and contributed to national/provincial key projects on wind turbine monitoring and recycled product certification. A recipient of the ZTE Cloud Cup AI Competition Gold Award and Ministry of Industry and Information Technology Big Data Competition Third Prize, Dr. Shen bridges academic innovation with real-world impact. This version distills your core expertise, key achievements, and industry focus into a tight, impactful narrative. Let me know if you’d like to adjust length or emphasize specific details!