Zhichao Feng
Assistant Professor, Presidential Young Scholar
Department of Logistics and Maritime Studies, Faculty of Business
The Hong Kong Polytechnic University
Ph.D., Operations Management, The University of Texas at Dallas, 2020
M.S., Statistics, The University of Texas at Dallas, 2019
B. Engineering and B. Economics, Tsinghua University, 2014
Research
Research Interests
Applications: Pricing and Revenue Management, Online Advertising, Queueing Theory and its Applications, Process Analysis.
Methodologies: Stochastic Dynamic Programming, Statistical Learning Theory, Asymptotic Analysis, Optimization.
Publications
Dawande, M., Feng, Z., and Janakiraman, G., 2021. On the Structure of Bottlenecks in Processes. Management Science, 67(6): 3853–3870.
Feng, Z., Dawande, M., and Janakiraman, G., 2021. On the Capacity of a Process with Batch Processing and Setup times. Production and Operations Management, 30(11): 4273-4287.
Feng, Z., Dawande, M., Janakiraman, G., and Qi, A., 2023. An Asymptotically Tight Learning Algorithm for Mobile-Promotion Platforms. Management Science, 69(3):1536-1554.
Feng, Z., Dawande, M., Janakiraman, G., and Qi, A., 2024. Dynamic Pricing and Learning with Discounting. Operations Research, 72(2): 481-492.
Working Papers
Feng, Z., Dawande, M., Janakiraman, G., and Qi, A., Service Systems with On-Demand and Reserved Servers.
Feng, Z., Li, A., Cakanyıldırım, M., and Walczak, D., Dynamic and Flexible Capacity Management for Flight Compartments and Beyond.
Feng, Z., Dawande, M., Janakiraman, G., and Qi, A., Online Learning and Capacity Management in Cloud-Cost Optimization.
Teaching
The Hong Kong Polytechnic University
LGT5425: Business Analytics
Fall 2022, Spring 2023
LGT5109: International Operations Management
Spring 2023, Spring 2024
LGT6006: Statistics and Game Theoretic Methods for Business Analysis and Decisions
Fall 2023
The University of Texas at Dallas
OPRE3310: Operations Management
Spring 2018, Spring 2019
Prospective Students
I am looking for self-motivated Ph.D. students with solid mathematical background and an interest in doing research on decision-making under uncertainty with potential applications in supply chain management, revenue management, and queueing. Students with a bachelor/master degree in mathematics, applied mathematics, statistics, industrial engineering, operations research, and computer science are welcome to email me with your CV and transcript.(Research Assistant / Postdoctoral Fellow applications are also welcome.)
Competitive financial support will be provided (see https://www.polyu.edu.hk/gs/prospective-students/fellowship-scholarship-schemes/).
Contact Information
M611, 6/F, Li Ka Shing Tower
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong
Email: zhi-chao.feng@polyu.edu.hk