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Prof. Siddhartha Banerjee

Professor Siddhartha Banerjee is an associate professor in the School of Operations Research and Information Engineering (ORIE) at Cornell, as well as a field member in Departments of Computer Science, ECE, and the Center for Applied Mathematics. Professor Siddhartha Banerjee works on topics at the intersection of data-driven decision-making and stochastic control, economics and computation, and large-scale network algorithms. Some of my current research interests include: new data-driven approaches for online decision-making, non-monetary mechanisms and information design, equity and fairness in online decision-making, stochastic coupling techniques in control.

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Prof. Xiuli Chao

Xiuli Chao’s research interests include queueing, scheduling, financial engineering, inventory control, and supply chain management. He has also held regular or visiting positions at the University of California at Irvine, Columbia University, North Carolina State University, Hong Kong University of Science and Technology, and National University of Singapore.

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Prof. Xuefeng Gao

Xuefeng Gao received his B.S. in Mathematics from Peking University, China in 2008, and his Ph.D. in Operations Research from Georgia Institute of Technology, USA in 2013. His research interests include Stochastic Modelling, Financial Engineering, Operations Research and Reinforcement Learning. His work has been selected as Finalist in the 2011 INFORMS Junior Faculty Interest Group (JFIG) paper competition. During summer 2011 and 2012, he worked as a research intern in the Business Analytics and Mathematical Sciences Department of the IBM T.J. Watson Research Center in New York.

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Prof. L. Jeff Hong

Jeff Hong is Professor in Department of Industrial and Systems Engineering at the University of Minnesota. Prior to joining the University, he held academic positions at the Hong Kong University of Science and Technology (2004-2014), City University of Hong Kong (2014-2018) and Fudan University (2018-2024). His research interests include stochastic simulation, stochastic optimization, statistical machine learning, and financial risk management. Prof. Hong is currently an associate editor of Management Science and ACM Transactions on Modeling and Computer Simulation. He was the Simulation Area Editor of Operations Research (2018-2023) and President of INFORMS Simulation Society (2020-2022).

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Prof. Omar El Housni

Prof. Omar El HousniOperations Research and Information EngineeringCornell UniversityTalk:Two-sided Assortment OptimizationAbstract:Two-sided matching platforms have become increasingly prevalent due to their applications in labor markets, dating, accommodation, and ridesharing. A central challenge faced by these platforms is choice congestion, i.e., popular options often receive more requests ...

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Prof. Yue Hu

Prof. Yue HuOperations, Information and Technology Stanford Graduate School of BusinessTalk:Online Learning for Dynamic Service Mode ControlAbstract:Modern service systems are increasingly adopting innovative modalities enabled by emerging technologies, such as AI-assisted services, to achieve a better balance between quality and efficiency. Motivated by these advancements, we study the optimal...

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Prof. Guanghui (George) Lan

Prof. Guanghui (George) LanIndustrial and Systems Engineering Georgia Institute of TechnologyTalk:Algorithmic Foundations of Risk-averse OptimizationAbstract:Over the past two decades, stochastic optimization has made remarkable strides, driving its widespread adoption in data-driven decision making. However, most existing models prioritize minimizing expected loss, often leaving decisions vuln...

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Prof. Xuan Wang

Prof. Xuan WangOperations ManagementThe Hong Kong University of Science and TechnologyTalk:Posted Price versus Hybrid Mechanisms in Freight Transportation MarketplacesAbstract:We consider a freight platform that serves as an intermediary between shippers and carriers in a truckload transportation network. The platform’s objective is to design a policy that determines prices for shippers and pa...

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Prof. Zeyu Zheng

Prof. Zeyu ZhengIndustrial Engineering and Operations Research University of California BerkeleyTalk:A Few Discussions on A/B TestsAbstract:A/B tests have been used at scale by data-driven enterprises to guide decisions and test innovative ideas to improve core business metrics such as revenue, engagements and customer satisfaction. In this presentation, we plan to discuss a few situations wher...

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