The 2022 INFORMS Optimization Society Conference took place in downtown Greenville, South Carolina from March 13-15, 2022. The theme of the conference was Bridging Data and Decision Making.
“It was great to be at an in-person conference after more than two years,” said U-M IOE Assistant Professor, Albert S. Berahas. “The organizers did a superb job at putting together a high-quality technical program, and all COVID-19 protocols were followed throughout the conference.”
The University of Michigan Industrial and Operations Engineering (U-M IOE) department had a strong presence at this year’s conference, with over 10 presentations from U-M IOE faculty and students.
“It was fantastic to see such a strong IOE presence at the conference,” said Berahas. “Many Ph.D. students presented their research, some for the first time at an in-person conference, and also organized sessions.”
Presentations from U-M IOE faculty and students included:
- Albert S. Berahas
- SQP Methods for Nonlinear Equality Constrained Stochastic Optimization
- Analysis of Line Search and Trust Region Methods with Noise
- Zhongzhu Chen
- On computing with some convex relaxations for the maximum-entropy sampling problem
- Rohan Ghuge
- Non-Adaptive Stochastic Score Classification and Explainable Halfspace Evaluation
- Huiwen Jia
- Online Learning and Pricing for Service Systems with Reusable Resources
- Ruiwei Jiang
- Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs
- Jianhao Ma
- Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery
- Kati Moug
- Shared-Mobility-Based Evacuation Planning under Demand Uncertainty
- Haoming Shen
- Locating Charging Stations for Battery Electric Buses: a Data-Driven Optimization Approach
- Convex Chance-Constrained Programs with Wasserstein Ambiguity
- Jiahao Shi
- Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Stochastic Optimization using Predictive Variance Reduction
- Luze Xu
- Gaining or Losing Perspective for Convex Multivariate Functions
- Xian Yu
- On the Value of Multistage Stochastic Facility Location with Risk Aversion
U-M IOE session chairs included:
- Albert Berahas
- Nonlinear and Stochastic Optimization
- Jiahao Shi
- Constrained Stochastic Optimization
- Huiwen Jia
- Learning under Uncertainty
- Ruiwei Jiang and Haoming Shen
- Stochastic and Robust Optimization
- Xian Yu
- Two-Stage and Multi-Stage Stochastic Programming
