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Sanjay Mehrotra Professor Department of Industrial Engineering and Management Sciences Northwestern University Evanston, IL Email: mehrotra [at] iems [dot] northwestern [dot] edu Phone: (847) 491-3155 Fax: (847) 491-8005
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Employment
- Professor (current)
Associate Professor (September 1992 - 2000)
Assistant Professor (September 1986--August 1992)
Northwestern University, Department of Industrial Engineering and Management Sciences, Evanston, IL - Adjunct Associate Professor (August 2001 – July 2003)
Courtesy appointment, Department of Mechanical Engineering, University of Illinois at Chicago. - President (June 2000 – May 2004)
Industrial Virtual Reality, Inc. - Associate Research Scientist (Summer 1988, 1989)
Mathematical Software Consultant (Summer 1987)
Research Assistant (January 1985 - August 1986)
IEOR Department, Columbia University, New York
Biography
Sanjay Mehrotra is a Professor of Industrial Engineering and Management Sciences department at the McCormick School of Engineering at Northwestern University. He is an expert in Optimization area. He is developing novel applications of these techniques in healthcare engineering. His recent research and teaching focus is in Optimization methods and models under data uncertainty. More specifically, his research has focused on stochastic optimization, optimization with stochastic dominance, and robust optimization.
The problems he studies may involve multiple decision makers who have different
goals and may provide imprecise data for model specifications. The decisions may be expressed as
either real or integer variables, and the requirements may be expressed as
deterministic or random constraints. While he is leading
the use of such methodologies for improvements in healthcare, other application
areas that benefit from his research include energy systems, public policy,
logistics and transportation, business management, finance, and design.
Mehrotra’s work involves both predictive and descriptive modeling of systems, as
well as algorithmic analysis of these models. To implement the models, he uses
large scale computing. His
approach, dubbed the “Mehrotra Predictor-Corrector Method,” is quite popular for
solving optimization problems involving continuous variables. By using novel risk adjusted multiple
objective models his research team recently demonstrated that the New York and
Chicago cities are not adequately funded under the US Urban Area Security
Initiative program. The study
results, coincidently released just prior to the May 2010 failed New York
bombing attempt, received immediate media attention.
Mehrotra’s research team worked with Northwestern University’s Department of
Surgery and found that the current training requirements imposed by the
Accreditation Council for Graduate Medical Education to train the US medical
residents are not being met -- research which suggests that a shift in the
national educational approach may be necessary.
He is working with transplant physicians on problems of geographical
disparities resulting from ad hoc policies in the national organ allocation
programs. He is also collaborating
with the medical informatics group on medical record access policies, and with
the hospital medicine group to improve hospital operational efficiency.
Professor Mehrotra earned his Ph.D. in Operations Research from Columbia University in 1986. He was a vice-chair of the INFORMS optimization section on computational optimization and software, a co-director of the Optimization Technology Center at Northwestern University and Argonne National Research Lab. He is the department editor for Optimization for the journal IIE Transactions. He is on the editorial board of Operations Research, Asia Pacific Journal of Operations Research, Intl. Journal of Information Systems in the Service Sector, and a co-coordinator for optimization-online. Previously he has served on the editorial boards of Mathematical Programming, International Journal on Modelling. He has been the vice-president of chapter/fora and the member of Institute for Operations Research and Management Sciences. He is well known for his predictor-corrector method in continuous optimization. Mehrotra’s research is published in journals such as Mathematical Programming, Mathematics of Operations Research, Operations Research, Computational Optimization and Applications, Journal of Global Optimization, INFORMS J. on Computing, Bioinformatics, J. of Global Optimization, SIAM J.OPT., SIAM Journal on Computing, SIAM Journal on Numerical Analysis, Analyst, and BMC BioInformatics.
His work is funded by the National Science Foundation, the Office of Naval
Research, the Department of Energy, and the National Institute of Health.