
Negin (Nicki) Golrezaei
Assistant Professor of Operation Management
MIT-Sloan School of Business
Office: 100 Main Street, Building E62, Cambridge, MA
Email: golrezae(at)mit.edu

I am an Assistant Professor of Operations Management at the MIT Sloan School of Management. My current research interests are in the area of machine learning, statistical learning theory, mechanism design, and optimization algorithms with applications to revenue management, pricing, and online markets. Before joining MIT, I spent a year as a postdoctoral fellow at Google Research in New York where I worked with the Market Algorithm team to develop, design, and test new mechanisms and algorithms for online marketplaces.
Here are links to my CV and Google Scholar page.
Here are links to my CV and Google Scholar page.
Publications
Preprints & Papers under Review
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Minor revision, Operations Research.
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Major revision, Manufacturing & Service Operations Management.
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Major revision, Management Science.Accepted for presentation at the MSOM Service SIG, 2018An earlier version of this paper was entitled "Two-stage Pandora's Box for Product Ranking."
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Major revision, Operations Research.
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Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2019.
Journal Papers
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Manufacturing & Service Operations Management, forthcoming. Finalist for the 2019 Service Science Best Paper Award
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Operations Research, Volume 65, Issue 1, pp. 130 - 144, 2016.
Presented in Ad Auctions Workshop of 15th ACM Conference on Economics and Computation (EC14), Palo Alto, California, June 8-12, 2014.
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Management Science, Volume 60, Issue 6, pp. 1532 - 1551, 2014.
Finalist for the 2016 MSOM Student Paper Competition
Finalist for the 2017 POMS Supply Chain Management College Student Paper Competition
A preliminary version appeared in the Proceedings of the 14th ACM Conference on Electronic Commerce (EC13), Philadelphia, PA, June 16-20, 2013.
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IEEE Transactions on Information Theory, Volume 60, Issue 7, pp. 4286 - 4298, 2014.
A preliminary version appeared in the proceeding of IEEE International Symposium on Information Theory (ISIT), pp. 2781- 2785, Cambridge, MA, July 1-6, 2012.
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IEEE Transactions on Wireless Communications, Volume 13, Issue 7, pp. 3665 - 3676, 2014.
A preliminary version appeared in the proceeding of IEEE International Conference on Communications (ICC), pp. 7077 - 7081, Ottawa, ON, June 10-15, 2012.
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IEEE Transactions on Information Theory, Volume 59, Issue 12, pp. 8402 - 8413, 2013.
A preliminary version appeared in the proceeding of International Conference on Computer Communications (INFOCOM), pp. 1107 - 1115, Orlando, FL, Mar. 25-30, 2012.
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IEEE Communications Magazine, Volume 51, Issue 4, pp. 142 - 149, 2013.
Ph.D. Thesis
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Efficient Policies and Mechanisms for Online PlatformsGeorge B. Dantzig Dissertation Award (2017)
INFORMS Revenue Management and Pricing Section Dissertation Prize (2017)
Elwood S. Buffa Doctoral Dissertation Award (2018)
University of Southern California (USC) Ph.D. Achievement Award (2017)
Bio
Negin Golrezaei is an Assistant Professor of Operations Management at the MIT Sloan School of Management. Her current research interests are in the area of machine learning, statistical learning theory, mechanism design, and optimization algorithms with applications to revenue management, pricing, and online markets. Before joining MIT, Negin spent a year as a postdoctoral fellow at Google Research in New York where she worked with the Market Algorithm team to develop, design, and test new mechanisms and algorithms for online marketplaces. She is the recipient of the 2018 Google Faculty Research Award; 2017 George B. Dantzig Dissertation Award; the INFORMS Revenue Management and Pricing Section Dissertation Prize; University of Southern California (USC) Ph.D. Achievement Award (2017), and USC CAMS Graduate Student Prize, for excellence in research with a substantial mathematical component (2017), and USC Provost's Ph.D. Fellowship (2011). Negin received her BSc (2007) and MSc (2009) degrees in electrical engineering from the Sharif University of Technology, Iran, and a PhD (2017) in operations research from USC.