Educational Qualifications

Aug 2009 - Mar 2015    
PhD (Management), National University of Singapore, Singapore

2009                            
M.S., Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

2006                            
B.S., Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China  


Academic and Professional Experience

2025 - Present             
Head, Master of Analytics and Visualisation Programme, SUSS School of Business

2024 - Present             
Associate Professor, Analytics Programme, SUSS School of Business

2021 - 2024                 
Senior Lecturer, Analytics Programme, SUSS Business School

2017 - 2020                 
Lecturer, Analytics Programme, SUSS Business School

2015 - 2017                 
Research Fellow, Global Asia Institute, National University of Singapore

Selected Publications

Selected Journal Articles (Refereed)

  • Satisficing Approach to On-Demand Ride Matching, with Dongling Rong, Xinyu Sun, Shuangchi He, INFORMS Journal on Computing, 2025, 37(2):413-427. (UTD24, ABS4*, SCI)
  • Robust Repositioning for Vehicle Sharing, with Long He, Zhenyu Hu, Manufacturing & Service Operations Management, 2020, 22(2):241-256. (UTD24, ABS4*, SCI)
  • Data-driven patient scheduling in emergency departments: A hybrid robust-stochastic approach, with Shuangchi He, Melvyn Sim, Management Science, 2019, 65(9):4123-4140. (UTD24, ABS4*, SCI)
  • Adaptive Distributionally Robust Optimization, with Dimitris Bertsimas and Melvyn Sim, Management Science, 2019, 65(2):604-618. (UTD24, ABS4*, SCI)
  • A Robust Optimization Model for Managing Elective Admission in a Public Hospital, with Fanwen Meng, Qi Jin, James Ang, Singfat Chu, Melvyn Sim, Operations Research, 2015, 63(6):1452-1467. (UTD24, ABS4*, SCI)
  • Improvement in Management System of Color Ring Back Tone Service, in Chinese, with Wang Chun, Liao Jianxin, Computer Systems & Applications, 2009, 18(3):23-26.

 

Journal Manuscripts under Review and Revision

  • Verifiability-Aware Robust Planning for Skill-Based LLM Agents: When to Act, When to Seek Evidence, with Tianjue Lin, under review at Management Science, 2026. (UTD24, ABS4*)
  • Robust Joint Stocking-Fulfillment Decisions for Omnichannel Retail: A Data-Driven Approach under Demand Uncertainty, with Ya Liu et al., minor revision at IISE Transactions, 2026. (ABS4)
  • Ride-Pooling under Pick-up Time Uncertainty: A Hybrid Robust-Stochastic Optimization Approach for Mobility-on-Demand Systems, with Li Xiao et al., major revision (2nd round) at European Journal of Operational Research, 2026. (ABS4*)
  • A Data-Driven Order Dispatch Method for Time-Constrained On-Demand Food Delivery, with Dongling Rong, Xinyu Sun et al., under review at Decision Sciences, 2026. (ABS4*)
  • Extending TOE for AI Adoption: Technology Ecosystem Readiness and the Intention-Readiness Decoupling in B2B Marketing, with Ren et al., major revision at Data Science and Management, 2026.

 

Working Papers

  • Lessons for Implementing Marketing AI in a Business-to-Business Context, with Willie Low, Rohit Nishant.
  • An Integrated Order Dispatch Approach for Dynamic Ride Pooling and Hailing Services.
  • A Practical Approach for On-Demand Ride-Matching with Order Cancellation.

 

Book Chapters

  • Covid-19 New Normal. World Scientific ISBN: 978-981-125-515-1. Chapter 4 ”Transformation and Reshaping of Industrial Supply Chains in the Post-Pandemic Era”(pp 59-72)

 

Analytics Software Product and Tools

  • Cloud Analytics for Teaching and Research: integrated data mining, optimization, simulation toolkit Jan - June. 2020
    • A complete tutorial guide for learning predictive and prescriptive analytics
    • All embedded with full documented Jupyter Notebooks
    • Rich applications and practice examples
    • Optimization include the integrated use of Docplex and Robust optimization in Python GitHub
  • ROC Solver: distributionally robust optimzation in C++, May. 2016
    • Coverage of the practical distributionally robust linear optimization and support a wide range of ambiguity set
    • Providing more than 100 extensible APIs with detailed API documentation.
    • Complemented several application test cases: Appointment Scheduling, Inventory Control, Optimizing Hospital Elective Admission and etc.
    • 20000 lines open source C++ code for public use available on my GitHub
  • Discrete Event Simulation Package for Healthcare Operations, Nov. 2016
    • modeling various process scenarios in hospital processes with open API for optimization strategy
    • Open source C++ code for public use available on my GitHub

Invited Seminar Presentations

  • Xi’an Jiaotong University, China                    Dec. 2019
  • University of New South Wales, Australia       Mar. 2018
  • Nanyang Business School, NTU, Singapore   Dec. 2017
  • Shanghai Jiao Tong University, China            Dec. 2016
  • City University of Hong Kong, China HK         July. 2016

 

Conference Presentations

  • POMS China International Meeting (Hangzhou, China)                                                           2023
  • APORS (Asia-Pacific Operational Research Society) 2022, Philippines                                    2022
  • INFORMS Annual Meeting                                                                                                    2013- 2015
  • POMS-HK                                                                                                                            2016
  • Chinese Scholars Association for Management Science and Engineering (CSAMSE)                         Annual 2015


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