ISyE Faculty, Students Present Talks, Receive Honors at INFORMS 2021

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At the annual Institute for Operations Research and the Management Sciences (INFORMS) conference, a number of faculty members and students from the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) presented plenary addresses and deceived awards for their research. The conference was held from October 24-27, 2021, in Anaheim, California.

Ph.D. student Andrew ElHabr received the Judith Liebman Award in appreciation of his outstanding service to the Georgia Tech INFORMS student chapter. Advisor: Turgay Ayer.

Pinar Keskinocak received the WORMS Award for the Advancement of Women in OR/MS.

Jisoon (Mark) Lim (IE 2021) won the Undergraduate Operations Research Prize for “The Bicycle Network Improvement Problem: Optimization Algorithms and A Case Study in Atlanta.” Advisor: Pascal Van Hentenryck.

Alex Shapiro was awarded the John von Neumann Theory Prize.

The Georgia Tech INFORMS Student Chapter won the 2021 INFORMS Student Chapter annual award at the Magna Cum Laude level. Advisor: Lauren Steimle.


Ph.D. student Yathath Dubey was selected as runner-up for the George Nicholson 2021 Student Paper Competition for “Branch-and-Bound Solves Random IPs in Polytimem," written with Marco Molinaro and his advisor, Santanu Dey


Ph.D. student Woody Zhu was chosen as a finalist for the 2021 Wagner Prize for “Data-Driven Optimization for Atlanta Police Zone Design,” written with Yao Xie and He Wang. He was also selected as a finalist for the Best Applied Paper in the 16th INFORMS Workshop on Data Mining and Decision Analytics, for “Early Detection of Covid-19 Hotspots Using Spatio-Temporal Data.”


Alejandro Toriello has been elected vice president/president elect of the INFORMS Transportation Science and Logistics Society, with his term beginning in 2022.

Plenary Addresses

Martin Savelsbergh gave the opening plenary lecture, “Challenges and Opportunities in Crowdsourced Delivery Planning and Operations.”

 Jeff Wu gave a plenary talk, “Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization,” to the INFORMS QSR Section.


Pascal Van Hentenryck gave a tutorial, “Machine Learning for Optimal Power Flows.”


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  • Created By:goberst3
  • Created:11/08/2021
  • Modified By:Shelley Wunder-Smith
  • Modified:11/08/2021


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