John Mitchell

John Mitchell is a Professor and Graduate Program Director in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute. His research focuses on optimization theory and applications, including integer programming, conic optimization, and complementarity constraints. He holds an additional affiliation with the Department of Industrial and Systems Engineering.

Key research interests include sparse/low-rank optimization with applications in compressed sensing, genome-wide association studies, and financial optimization. His work extends to practical domains like disaster management (resource allocation, humanitarian logistics) and resilient supply chain design. Mitchell's methods address both theoretical challenges (e.g., exact formulations) and real-world problems such as network interdiction and infrastructure restoration.

Publications from 2015-2025 highlight interdisciplinary applications: from ridesharing algorithms and trafficking network disruption to community detection in graphs and neuromorphic computing optimization. His work bridges mathematical rigor with societal impact in areas like emergency evacuation modeling and fair division approaches for humanitarian logistics.

His research emphasizes algorithm development (e.g., branch-and-cut methods) and convex reformulations for nonconvex problems. Current projects explore quantitative resilience metrics for multi-echelon supply chains and ground-truth community detection via modularity optimization.