Research by Topic

This page classifies my research works into three themes: (1) Operations Research for Social Good, (2) Applied Probability for Modern Service Operations, and (3) Data-Driven Decision Making. Papers may appear under more than one topic.

^{^} student coauthor (at the time of writing); ^† practitioner coauthor

Design and optimize public-service systems to address urgent societal needs, with a recent focus on community first responder programs that enable everyday citizens to assist in time-sensitive medical emergencies such as cardiac arrest.

AED-equipped Taxi Network Design for Cardiac Arrest Response [SSRN]

Juan Yin, Zhisheng Ye, Weiliang Liu

Working Paper

Moving Lifelines: Fixed Sites or Mobile Fleets for Volunteer-Enabled Emergency Medical Device Delivery? [SSRN] [2-Minute Video]

Zeyu Lin^{^}, Weiliang Liu, Jingwei Zhang, Marcus EH Ong^† (Singapore General Hospital & Duke-NUS Medical School)

Under Review

Community Responder Crowdsourcing for Time-Sensitive Medical Emergencies [SSRN]

Weiliang Liu, Timothy Chan, Loon Ching Tang, Zhisheng Ye

Major Revision at Operations Research

Finalist, INFORMS Service Science Best Cluster Paper, 2026 (Winner TBA)

Finalist, POMS-HK Best Student Paper Award, 2025

Location-Allocation of Emergency Service Systems in Light Traffic [Upon Request]

Xin Wang^{^}, Weiliang Liu, Loon Ching Tang, Zhisheng Ye

Minor Revision at Operations Research

Robust Data-Driven Design of a Smart Cardiac Arrest Response System [SSRN] [Paper]

Weiliang Liu, Qiuzhuang Sun, Loon Ching Tang, Zhisheng Ye

Production & Operations Management, Vol. 35, Issue 1, 2026

Winner, INFORMS Society on Location Analysis Best Student Paper Award, 2023

Modeling and Optimization for Emergency Medical Services Network

Ran Liu, Weiliang Liu, Yuxin Liu, Ershun Pan and Xiaolan Xie

IEEE Trans. on Automation Science and Engineering, Vol. 19, No. 4, 2022

Applied Probability for Modern Service Operations

Develop and apply queueing, stochastic-control, and asymptotic methods to understand and optimize emerging service systems under operational uncertainty.

Data-Driven Matching for Impatient and Heterogeneous Demand and Supply [SSRN] [Paper]

Weiliang Liu, Amy Ward, Xun Zhang

Forthcoming at Mathematics of Operations Research (2026)

Location-Allocation of Emergency Service Systems in Light Traffic [Upon Request]

Xin Wang^{^}, Weiliang Liu, Loon Ching Tang, Zhisheng Ye

Minor Revision at Operations Research

Expanding Service Capabilities Through an On-Demand Workforce [Paper]

Xu Sun, Weiliang Liu

Operations Research, Vol. 73, No. 1, 2025

Energy-Aware and Delay-Sensitive Management of a Drone Delivery System [Paper]

Weiliang Liu, Xu Sun

Manufacturing & Service Operations Management, Vol. 24, No. 3, 2022

Data-Driven Decision Making

Build data-to-decision pipelines that combine statistical estimation and optimization to produce implementable decisions.