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 () "Predicting Product Return Volume Using Machine Learning Methods ,"  European Journal of Operational Research, Special Issue on Business Analytics  281, 612-627.
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, 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 ,".