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Hailong Cui

Ph.D. Candidate in Data Sciences and Operations

MS, Arizona State University; BS, POSTECH

I am primarily interested in data-driven prediction, inference and decision-making in the context of online retail and consumer returns, sustainable operations, incentive design and worker productivity. In my research, I utilize tools from optimization, game theory, machine learning, high-dimensional statistics and econometrics. During my Ph.D. studies, I have co-authored three journal papers that have been published or accepted for publication in M&SOM and EJOR, and one more journal paper that is currently under 2nd round review at Management Science. Prior to my Ph.D. studies, I worked as a fraud risk manager with American Express, and as a credit risk analyst with HSBC.
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Hailong Cui, Sampath Rajagopalan, Amy Ward () "Impact of Task-Level Worker Specialization, Workload, and Product Personalization on Consumer Returns ,"  Manufacturing and Service Operations Management (Accepted).
Hailong Cui, Sampath Rajagopalan, Amy Ward () "Predicting Product Return Volume Using Machine Learning Methods ,"  European Journal of Operational Research, Special Issue on Business Analytics (Published Online).
Hailong Cui, Greys Sosic () "Recycling Common Materials: Effectiveness, Optimal Decisions, and Coordination Mechanisms ,"  European Journal of Operational Research  274, 1055-1068.
Sanjith Gopalakrishnan, Granot Daniel, Granot Frieda, Greys Sosic, Hailong Cui () "Incentives and Emission Responsibility Allocation in Supply Chains ,".