Qin Hanzhang

Qin Hanzhang is an Assistant Professor in the Department of Industrial Systems Engineering and Management at the National University of Singapore (NUS). He is affiliated with the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His research focuses on advancing optimization and decision-making methodologies, particularly in supply chain analytics, inventory control, and machine learning applications.

His work bridges theoretical foundations with practical challenges, addressing topics such as fairness in algorithms, adaptive resource allocation, and privacy-enhanced predictive frameworks. He has contributed to solving large-scale logistical problems, including vehicle routing and stochastic demand modeling. His recent publications emphasize data-driven approaches for inventory positioning, pricing strategies under shape-restricted demands, and sample-efficient reinforcement learning in inventory systems.

Hanzhang’s research trends highlight a strong emphasis on operational efficiency, real-world applicability, and interdisciplinary solutions combining operations research with modern machine learning techniques.