Poster Competition

Registration

Showcase your work in our poster session, open to all PhD students in related fields. Present a poster on any research that excites you—top entries will receive cash prizes! Scroll down for details on prizes and available partial travel support.

Registrations for the Poster Competition are closed.

Prizes, Rules, Judges, and Logistics

We are pleased to announce the following prizes:

The competition will feature three faculty judges who will select the top three posters. We will also have a fan favorite poster voted by general attendees. Please review the following guidelines:

Judges: Gerard Cornuejols, Huiwen Jia, Peter Zhang.

The CMU INFORMS chapter will provide accommodation for one night if needed for accepted poster presenters. Hotel rooms will be shared with one other person. We cannot provide travel reimbursements.

YinzOR 2025 Posters

Spatio-Temporal Causal Inference for DER’s Impact on Grid Reliability
Wendy Wang, Carnegie Mellon University
A Framework for Evaluating the Trade-off Between Model Fidelity and Computational Tractability in Logistics Network Design
Weiqing Xu, Georgia Institute of Technology
History-Dependent Fluid Approximations and Performance Guarantees for Revenue Management with Markov-Modulated Demands
Weiyuan Li, Cornell Tech
Randomized Algorithms for Total Variation-Regularized Topology Optimization
Haeseong Yang, University of Pittsburgh
Generalized Traffic Equilibrium with Ride-hailing and Customer Waiting
Wei Gu, University of Southern California
Epidemic Resource Allocation: Where Fairness Helps Efficiency
Kimiya Jozani, Virginia Tech
Maximum entropy algorithms for selecting citizens’ assemblies
Gabriel Morete de Azevedo, Cornell University
Auditing Distributional Shifts in Decision Parameters via Human Feedback
Minxing Zheng, Carnegie Mellon University
On the ReLU Lagrangian Cuts for Stochastic Mixed Integer Programming
Haoyun Deng, Georgia Institute of Technology
The Welfare Effect of Super Apps
Jingwei Dai, Carnegie Mellon University
Conformalized Decision Risk Assessment
Wenbin Zhou, Carnegie Mellon University
Adaptive Robust Optimization with Data-Driven Uncertainty for Enhancing Distribution System Resilience
Shuyi Chen, Carnegie Mellon University
Learning and Optimization for Hospital at Home
Alex He, Carnegie Mellon University