Zhen QIAO (乔 祯) SUTD-NUS Joint Ph.D. Candidate
Engineering Systems and Design Pillar, Singapore University of Technology and Design
Department of Industrial Systems Engineering and Management, National University of Singapore
Email: zhen_qiao@mymail.sutd.edu.sg, zhen_qiao@u.nus.edu
Office: S38, 1.714, 8 Somapah Rd, Singapore 487372
#20, 07-19, Block E1, Engineering Drive 2, Singapore 117576
[CV]
Hi, welcome to my homepage! I'm currently a third year SUTD-NUS Joint Ph.D. Candidate at ESD, SUTD and ISEM, NUS. I am honored to be supervised by Prof. Xiaotang Yang and co-supervised by Prof. Xiaobo Li and Prof. Karthyek Murthy. Prior to my PhD, I obtained my master's degree from Waseda University in 2023 supervised by Prof. Fujimura Shigeru and bachelor degrees from Curtin University and Yanshan University in 2021. My research focuses on data-driven decision making under uncertainty by using optimization, machine learning, queueing theory and discrete choice modeling with applications in inventory management and traffic networks. For further information, please see my CV.
My research spans two complementary directions.
Variant 1 – Operations in Large-Scale Service System
Innovative Technologies and New Business Models
Game Theory and Contract Theory
Queueing Theory and Stochastic Processes
Service Platforms, Smart Mobility, Digital Economy, Healthcare
Variant 2 – Data-Driven Decision Making under Uncertainty
Decision-Making under Uncertainty
Prescriptive Analytics
Distributionally Robust Optimization (DRO) based on Optimal Transport
High-Dimensional Statistics
Bringing these strands together, I also consider to explore how embedding learning into large-scale stochastic systems can significantly enhance personalization and reduce regret, recognizing that large-scale approximations may not always capture the nuances of smaller-scale decisions.
Ph.D. in Engineering Systems and Design Jan 2024 - Jan 2028 (Expected)
Joint Ph.D. in Industrial Systems Engineering and Management, Jan 2026 - Jan 2028 (Expected)
Master of Engineering in Engineering of Information, Production and Systems. Sept. 2021 - Sept 2023
Bachelor of Science in Industrial Optimization & Bachelor of Business Administration in Industrial Engineering. Sept. 2017 - Aug. 2021
🎤 Jan 2026 --- Present in the 16th POMS-HK International Conference in Shenzhen, China
🎤 Dec 2025 --- Present our poster in NeurIPS 2025 Workshop MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making in San Diego, CA, US
👂 Nov 2025 --- Participate in Data-driven Techniques in Operations Research workshop (formerly known as Data-driven Queueing Challenges) as audience
🎉 Sept 2025 --- ”A Sharp Comparison of Prescriptive Analytic Frameworks for The Big Data Newsvendor Problem“ has been accepted by NeurIPS 2025 Workshop MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making
🎉 June 2025 --- I have passed Qualification Exam and has become Ph.D. Candidate in SUTD ESD.