Prof. Rajan Udwani Wins INFORMS Junior Faculty Interest Group Paper Competition

Professor Rajan Udwani

Berkeley IEOR Professor Rajan Udwani has been selected as winner of the 2021 INFORMS Junior Faculty Interest Group (JFIG) Paper Competition for his work titled Submodular Order Functions and Assortment Optimization. Udwani was selected for his work with submodular order functions and demonstrating the power of submodular order functions. As part of the paper competition,…

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Prof. Paul Grigas Wins INFORMS Junior Faculty Interest Group Paper Competition

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Berkeley IEOR Professor Paul Grigas has been selected as winner of the 2020 INFORMS Junior Faculty Interest Group (JFIG) Paper Competition for his work titled Smart “Predict, then Optimize”, co-authored along with colleague Adam Elmachtoub from Columbia University. Grigas and Elmachtoub were selected for proposing a new prediction and optimization framework, called Smart “Predict, then…

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Berkeley IEOR Postdoc wins INFORMS Optimization Society Student Paper Prize

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Yingjie Bi, a Berkeley IEOR post-doctoral researcher with Professor Javad Lavaei, recently received the Best Student Paper Prize from the INFORMS Optimization Society. Yingjie, who completed his PhD in Electrical and Computer Engineering from Cornell University earlier this year, was awarded for his co-authored paper titled ‘Duality gap estimation via a refined Shapley-Folkman lemma.’ Through…

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Katta G. Murty Best Paper Prize awarded to Matt Olfat

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Matt Olfat was named as the 2020 recipient of the Katta G. Murty Best Paper Prize. The award faculty committee selected Matt for his phenomenal work on “Optimization Hierarchy for Fair Statistical Decision Problems” with Anil Aswani. The Katta G. Murty Prize, established in 2006 as a gift from IEOR alum Katta Murty (’68 PhD IEOR),…

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Professor Xin Guo to Publish New Book on Quantitative Trading

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Professor Xin Guo to Publish New Book on Quantitative Trading Eugene Pang September 28, 2016 Professor Xin Guo, the Coleman Fung Chair in Financial Modeling at the University of California, Berkeley is releasing a new book titled Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Guo wrote the book along with Howard Shek from North Dakota State University, and Tze Leung Lai & Po-Shing…

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