Utsav Sadana

Utsav Sadana is an Assistant Professor of Operations Research in the Department of Computer Science and Operations Research (DIRO) at the University of Montréal. He holds affiliations with IVADO, CIRRELT, and GERAD research centers. His academic journey includes a postdoctoral fellowship at McGill University and a PhD in Management Science from HEC Montréal under Prof. Georges Zaccour.

His research spans mathematical optimization, machine learning, and game theory with applications in decision-making under uncertainty. Key interests include entropic risk measures, impulse control in differential games, and contextual optimization methods. His work integrates theoretical foundations with practical applications in security, insurance, and technology adoption.

His recent publications demonstrate a strong focus on distributionally robust optimization, risk-averse decision making, and game-theoretic approaches to dynamic systems. The 2025 European Journal of Operational Research survey synthesizes advances in contextual optimization, while his 2023 INFORMS Journal paper establishes the value of randomized strategies in network security contexts.

As an educator, he teaches Methods of Operations Research (IFT-6575) and Dynamic Programming (IFT-6521) at the University of Montréal, and previously taught Business Statistics at McGill University.

• Lead researcher on Decision-making in dynamical systems (2024-2030) funded by NSERC Discovery Grant
• Co-researcher on Integration of Environmental Data in Urban Planning (2024-2026) with MITACS Acceleration funding

His research methodology combines theoretical rigor with computational implementation, evidenced by his GitHub repositories containing optimization solvers and experimental code for risk analysis.