Jean-Philippe Richard
Professor
School of Industrial and Systems Engineering, University of Minnesota
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Jean-Philippe P. Richard is a professor in the Department of Industrial and Systems Engineering at the University of Minnesota where he serves as Director of Faculty and Academic Affairs. Prior to joining the University, Jean-Philippe held academic positions at Purdue and at the University of Florida where he was a UF term professor and PhD coordinator for Industrial and Systems Engineering.
His research interests are in the theoretical and computational aspects of mixed integer nonlinear optimization. He is particularly interested in convexification methods and polyhedral approaches to these problems. He is also interested in the application of these techniques in data, medicine, transportation, and infrastructure protection.
His research has been funded by NSF and he has carried cooperative research with several Class I railroads including UPRR and CSX. He is an associate editor for Mathematics of Operations Research, JOGO, IISE Transactions, and Optimization Letters. He is the recipient of an NSF CAREER award, multiple teaching awards, and a best application paper award from II(S)E Transactions,
News!
[07/22/2025] Speaking today at ICCOPT. [here]
[06/03/2025] Glad to help UMN-ISyE host the MIP workshop this year. Great to see so many outstanding scholar visiting Minneapolis. [here] Looking forward to co-editing a special issue of Informs Journal On Optimization highlighting contributions from the workshop!
[04/30/2025] Ph.D. student Chengwenjian Wang successfully defended his prelim “Flexible and Interpretable Modelling for Real-world Decision Making via Discrete Optimization Techniques.” Thanks to committee members (Z. Lu, Y. Zhang, and A. Khani) for useful comments/suggestions.
[03/28/2025] Honored to be a recipient of this year's Award for Excellence in Academic Service at UMN. [here]
[08/15/2024] Thrilled to be the recipient of a new NSF award and to be part of a team that investigates how to improve the experience of family medicine residents through better scheduling. [here]
[07/30/2024] M.S. student Sriram Nutulapati successfully defended his Data Science Capstone Project “Evaluation of Local Search Algorithms for the PrePack Optimization Problem.” Thanks to committee members D. Boley and T. Murray.
[07/07/2024] Paper “A reciprocity between tree ensemble optimization and multilinear optimization,” with J. Kim and M. Tawarmalani has been accepted for publication in Operations Research. [here]
[06/24/2024] Paper “Globally solving a class of bilevel programs with spatial price equilibrium constraints,” with A. Goyal has been accepted for publication in Optimization Letters. [here]
[05/21/2024] Honored to be selected as part of the inaugural CSE & CBS Leads Program at UMN. [here]
[04/23/2024] Ph.D. student Akshit Goyal successfully defended his dissertation “Modeling uncertainty and equilibrium constraints in Bilevel Optimization.” Thanks to attendees (Q. Zhang, S. Zhang, A. Khani, and co-advisor A. Lamperski). Good luck at ExxonMobil!
[04/12/2024] Paper “Piecewise polyhedral relaxations of multilinear optimization,” with J. Kim and M. Tawarmalani has been accepted for publication in SIAM Journal on Optimization. [here]
[11/10/2023] Paper “A Sequential Follower Refinement Algorithm for Robust Surgery Scheduling,” with A. Bansal, B. Berg, and Y.-L. Huang is now accepted for publication in INFORMS Journal on Computing.
[10/13/2023] Thrilled to be the recipient of a new NSF award and to be part of a multi-disciplinary team that aims to examine how public policy might better interdict opioid abuse in West Virginia. [here]
[8/29/2023] Delighted to be the recipient of a new AFOSR grant to study tree ensemble optimization.
[7/27/2023] Paper “Solving sparse separable bilinear programs using lifted bilinear cover inequalities,” with X. Gu and S. S. Dey is now accepted for publication in INFORMS Journal on Computing.
[7/25/2023] Paper “A linear optimization model for high dose rate brachytherapy using a novel distance metric,” with N. Mirzavand Boroujeni, D. Sterling, and C. Wilke is now accepted and available in Articles in Advance at Physics in Medicine and Biology.
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[06/2023] Ph.D. student Akshit Goyal is off for a summer internship at ExxonMobil.
[05/26/2023] Ph.D. student Akshit Goyal successfully defended his prelim “Modeling uncertainty and equilibrium constraints in Bilevel Optimization.” Thanks to attendees (Q. Zhang, S. Zhang, A. Khani, and co-advisor A. Lamperski) for useful comments/suggestions.
[04/24/2023] Ph.D. student Nasim Mirzavand Boroujeni successfully defended her dissertation “Novel models and techniques in optimization for cancer treatment using high dose rate brachytherapy.” Thanks to attendees (N. Arnosti, C. Wilke, and S. Zhang) for your participation. Good luck at Bayer, Nasim !
[04/14/2023] Delighted and grateful to receive the Penrose Excellence in Teaching Award today. [here]
[02/17/2023] Paper “Smart Predict-then-Optimize for Two-Stage Linear Programs with Side Information"”with A. Estes is now available in Articles in Advance at INFORMS Journal on Optimization. [here]
[12/27/2022] New paper “A novel linear network-based optimization model for high dose radiation brachytherapy” with N. Mirzavand Boroujeni, D. Sterling, and C. Wilke, submitted.
[10/14/2022] Enjoyed giving a talk at UBC Sauder today!
[07/30/2022] New paper “Solving sparse separable bilinear programs using lifted bilinear cover inequalities” with X. Gu and S. S. Dey, submitted. [here]
[07/05/2022] New paper “Piecewise Polyhedral Relaxations of Multilinear Optimization” with J. Kim and M. Tawarmalani submitted. [here]
[06/28/2022] New paper “A Sequential Follower Refinement Algorithm for Robust Surgery Scheduling” with A. Bansal, B. Berg, and Y.-L. Huang submitted.
[05/24/2022] Delighted to be talking at the MIP workshop! [here]
[05/2022] Ph.D. student Nasim Mirzavand Boroujeni is off for a summer internship at Bayer.
[04/26/2022] Ph.D. student Nasim Mirzavand Boroujeni successfully defended her prelim "Optimization Models and Techniques for Cancer Treatment using High Dose Rate Brachytherapy (HDR-BT).” Thanks to attendees (N. Arnosti, S. Zhang, C. Wilke, and D. Sterling) for useful comments/suggestions.
[04/21/2022] Ph.D. student Jongeun Kim successfully defended his dissertation "Discrete Optimization Models and Techniques for Problems in Data-driven Prescriptive Analytics.” Thanks to attendees (M. Tawarmalani, S. Zhang, Z. Wang, Q. Zhang, S. Leyffer, and A. Estes) for your participation. Good luck at Google, Jongeun !
[04/20/2022] Undergraduate student Tora Husar defended her honors thesis entitled “Two Models for the Green Optimization of Repositioning in Bicycle-Share Systems with Docked and Undocked Bicycles.” Thanks to attendees (A. Khani, M. Levin, and A. Estes) for your comments. Good luck at UPenn, Tora!
[03/26/2022] New paper “A Reciprocity Between Tree Ensemble Optimization and Multilinear Optimization” with J. Kim and M. Tawarmalani submitted. [here]
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