INFORMS News: Dantzig Dissertation Award

Dantzig dissertation (l-r): Ian Osband (second place), Negin Golrezaei (winner), Wedad Elmaghraby (presenter) and Mehdi Behroozi, Alvaro Lorca and Rong Yuan (all honorable mention).

Dantzig dissertation (l-r): Ian Osband (second place), Negin Golrezaei (winner), Wedad Elmaghraby (presenter) and Mehdi Behroozi, Alvaro Lorca and Rong Yuan (all honorable mention).

Negin Golrezaei of the University of Southern California won the 2017 George B. Dantzig Dissertation Award from INFORMS for the dissertation, “Real-Time Optimization of Personalized Assortments.” Committee chair Wedad Elmaghraby presented the award at the INFORMS Annual Meeting in Houston.

The award honors the best dissertation in any area of operations research and the management sciences that is innovative and relevant to practice. The award is designed to encourage academic research that combines theory and practice and stimulates greater interaction between doctoral students (and their advisors) and the world of practice.

Second place went to Ian Osband of Stanford University for “Deep Exploration via Randomized Value Functions.”

Honorable mention went to Rong Yuan of MIT for “Velocity-based Storage and Stowage Decisions in a Semi-Automated Fulfillment Systems,” Mehdi Behroozi of the University of Southern California for “Robust Solutions for Geographic Resource Allocation Problems” and Alvaro Lorca of the Georgia Tech for “Robust Optimization for Renewable Energy Integration in Power System Operations.”