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Operations Research

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Operations Research

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Research Frontiers in Large-Scale Network Flow Problems

Algorithmic innovations for solving minimum cost flow, maximum flow, and related problems on networks with millions of nodes and edges.

Adversarial Robustness in Dynamic Network Routing
Decentralized Flow Optimization Without Global Information
Temporal Heterogeneity in Multi-Commodity Flow Networks
Machine Learning Integration for Real-Time Congestion Prediction
Fairness and Equity in Competing Flow Allocation
Quantum-Inspired Algorithms for Exponential-Scale Routing
Resilience Under Cascading Network Failures
Privacy-Preserving Optimization in Distributed Flow Systems
Neural Network Surrogates for Intractable Flow Problems
Sustainability Constraints in Carbon-Aware Logistics Networks

All Operations Research PhD categories