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Professor Diwakar Gupta

Gupta

Ph.D., 1988, Management Sciences, University of Waterloo
M.A.Sc., 1984, Industrial Engineering, University of Windsor
B.Tech, 1982, Mechanical Engineering, Indian Institute of Technology, New Delhi

Office: ME 130B - phone: (612) 625-1810
Email: guptad@umn.edu

Research

Research focuses on stochastic models for supply chain and health operations management. Specifically, research and consulting interests include supply chain management, healthcare capacity management, payment innovations, and health policy, revenue management in manufacturing and service industries, and design and operational control of manufacturing systems.

Professor Gupta is on assignment at the National Science Foundation, where he serves as a program director for the Service, Manufacturing, and Operations Research program in the division of Civil, Mechanical, and Manufacturing Innovation of the Directorate for Engineering.

Research Laboratory

Selected Publications

Please see Publications page on Scorlab website

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News

ISyE Undergrad student Christopher Kuehn is a co-founder of AdrenaCard, a company that has created an epi-pen alternative. Read More...

Dr. Kevin Leder has been awarded the NSF CAREER Award: Rare Events in Cancer Evolution with a grant in the amount of $500,000. Read More...

A paper by ISyE doctoral student Xiang Li was a finalist for the 2016 POMS-HK Best Student Paper Award. Read More...

Professor Saif Benjaafar was a keynote speaker at the Big Data and Connected Business Conference held in Taipei, Taiwan. Read More...

Dr. Shuzhong Zhang's paper "Semidefinite Relaxation of Quadratic Optimization Problems" was awarded the 2015 SPS Signal Processing Magazine Best Paper Award. Congratulations!

ISyE professors William L. Cooper and Zizhuo Wang have been awarded an NSF grant of $269,000 for the project "Revenue Management with Network Effects." The project will run from August 2015 to August 2018. Read More...

Dr. Shuzhong Zhang has been awarded a $299,999 grant from The National Science Foundation for his project "Gradient Methods for Solving Big Data (Tensor) Optimization Problems". Read More...

Dr. Zizhuo Wang's paper "Pricing Personalized Bundles: A New Approach and An Empirical Study" was a finalist in this year's INFORMS Revenue Management and Pricing Section Practice Award. Congratulations!