Jian Wu 吴鉴

Department of Decision Analytics and Operations, College of Business, City University of Hong Kong 83 Tat Chee Ave, Kowloon Tong, Hong Kong Email: jian.wu [@] cityu.edu.hk

Bio

I am an Assistant Professor of Management Sciences in the College of Business, City University of Hong Kong. Before joining CityU, I obtained my Ph.D. from Mitch Daniels School of Business at Purdue University, under the supervision of Prof. Qi Annabelle Feng, Prof. J. George Shanthikumar, and Prof. William B. Haskell. My research focuses on decision-making under uncertainty in supply chain management.

Perspective Students

I am currently seeking highly motivated Ph.D. students who possess a solid mathematical foundation and are passionate about data analytics and supply chain management. If you hold a bachelor's or master's degree in mathematics, probability, statistics, computer science, or industrial engineering, please reach out by emailing me your CV and academic transcripts.

Education

Purdue University, 2019 - 2025
Ph.D. in Operations Management

The University of Hong Kong, 2015 - 2019
B.Eng in Industrial Engineering and Technology Management (First Class Honor)

The University of Wisconsin-Madison, January - May 2018
Exchange Student, International Academic Programs (IAP)

Journal Publications

1. Solving the Price-Setting Newsvendor Problem with Parametric Operational Data Analytics (ODA). Management Science (with L. Y. Chu, Q. Feng, J. G. Shanthikumar and Z. J. M. Shen) [pdf]
2. Contextual Data-Integrated Newsvendor Solution with Operational Data Analytics (ODA). Management Science (with Q. Feng and J. G. Shanthikumar) [pdf]
3. Robust Data-Driven Quasiconcave Optimization. Accepted, INFORMS Journal on Computing (with W. B. Haskell, W. Huang and H. Xu) [pdf]

Working Papers

1. Efficiently Computing the Quasi-Concave Envelope with Incomplete Information. Under review. (with W. B. Haskell, W. Huang and H. Xu) [pdf]
2. Operational Data Analytics (ODA) Embedded Neural Network Learning for the Newsvendor Problem with General Demand. Work in progress (with Q. Feng and J. G. Shanthikumar)
3. Proximal Systems for Inventory Management under Positive Lead Times. Work in progress (with Q. Feng, J. G. Shanthikumar and Y. Yang)

Teaching

Instructor, MS6721 Supply Chain Management, Spring 2026, City University of Hong Kong

Instructor, MGMT361 Operations Management, Spring 2024, Purdue University

Teaching assistant, MGMT565 Strategic Sourcing and Procurement, Fall 2021, Fall 2022, Purdue University

Teaching assistant, MGMT568 Supply Chain Analytics, Summer 2022, Purdue University

Teaching assistant, MGMT664 Supply Chain Management, Summer 2021, Purdue University

Honors and Awards

Service

Session Chair, INFORMS Annual Conference 2022, 2023, 2024, POMS Annual Conference 2025, 2026

Reviewer for Management Science, Manufacturing & Service Operations Management, Production and Operations Management, INFORMS Journal on Computing, Naval Research Logistics, International Journal of Production Research