Mengfan Xu
324 ELab, Engineering Lab 1
160 Governors Drive
Amherst, MA, 01003, U.S.A.
Contact: mengfanxu@umass.edu
Hi! I am Mengfan, and I am a Tenure-Track Assistant Professor in the Department of Mechanical and Industrial Engineering and an Adjunct Assistant Professor in the Manning College of Information & Computer Sciences at UMass Amherst.
I obtained my Ph.D. from the Department of Industrial Engineering and Management Sciences at Northwestern University in 2024, where I was very fortunate and grateful to be advised by Prof. Diego Klabjan and to receive invaluable mentorship from the faculty members, a debt of gratitude I can never fully repay. Previously, I obtained my bachelor’s degree in Statistics from the University of Science and Technology of China in 2018, where I was very appreciative to receive mathematical training and be admitted to a summer exchange program in Biostatistics at the Yale School of Public Health and the Yale School of Medicine in 2017, an experience that opened many doors for me.
My research group works at the intersection of operations research, machine learning, and artificial intelligence, with a particular emphasis on online learning. We formulate real-time decision-making problems in an imperfect and complex world and develop principled algorithms with provable and generalizable guarantees for these challenging settings. Motivated by operational challenges faced by real-world decision-makers, our work develops new methodologies that capture the intricate structures and complexities underlying these problems, with applications across a broad range of domains. Our research interests include:
- Online Learning
- Multi-Agent Systems
- Statistical Learning and Algorithm Design
- Stochastic Processes and Simulation Optimization
- Applications in Operations Research
news
| Mar, 2024 | I am happy to share that I will be joining the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst as a tenure-track assistant professor starting September 2024! |
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| Sep, 2023 | I am happy to share that our paper, titled “Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards”, has been accepted at NeurIPS 2023 as a Spotlight! |
| Aug, 2023 | I am happy to share that our abstract, titled “Multi-agent and Multi-objective Multi-armed Bandit”, will be presented at Informs Annual Meeting on Oct. 17th in Phoenix, AZ! |
| Apr, 2023 | I am happy to share that our paper, titled “Pareto Regret Analyses in Multi-objective Multi-armed Bandit”, has been accepted at ICML 2023! |