The 2021 INFORMS TutORials cover a range of exciting topics on
Emerging Optimization Methods and Modeling Techniques with Applications. Here is the schedule (all times are PDT).
Sunday, October 24
7:45–9:15am - VSB80
Learning and Information in Stochastic Networks and Queues
Neil Walton, Kuang Xu
11:00am–12:30pm - SC01
Response-Guided Dosing in Cancer Radiotherapy
Archis Ghate
2:45–4:15pm - VSD80
Discrete Choice Models and Applications in Operations Management
Ruxian Wang
Monday, October 25
7:45–9:15am – VMB80
Surrogate-Based Simulation Optimization
Xiaowei Zhang, Jeff Hong
11:00am–12:30pm - MC01
Good and Bad Optimization Models: Insights from Rockafellians
Johannes Royset
2:45–4:15pm – VMD80
Storytelling with Sports Analytics
Kevin Hutson, Elizabeth Bouzarth, Benjamin Grannan, John Harris, Peter Keating
2:45–4:15pm - VMD84
Game Theory and the COVID-19 Pandemic
Anna Nagurney
Tuesday, October 26
7:45–9:15am – VTB80
Machine Learning for Optimal Power Flows
Pascal Van Hentenryck
11:00am–12:30pm - VTC80
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Jose Blanchet, Karthyek Murthy, Viet Anh Nguyen
2:45pm–4:15pm – VTD80
Exactness in SDP Relaxations of QCQPs: Theory and Applications
Fatma Kılınç-Karzan, Alex Wang
2:45pm–4:15pm - VTB86
Evolutionary Computation: An Emerging Framework for Practical Single and Multi-Criterion Optimization and Decision-Making
Kalyanmoy Deb
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Douglas Shier
Clemson University
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