Education

Ph.D. in Operations Research

Concordia University, Montreal, QC
Jan 2021 – Sep 2025

Project 3 – Hospital Evacuation Optimization with Reinforcement Learning

• Developed a combined Reinforcement Learning (Q-Learning, Deep Q-Learning) and Adaptive Large Neighborhood Search (ALNS) algorithm to optimize hospital evacuation strategies in stochastic, post-disaster environments.
• Investigated the use of Large Language Models (LLMs) and prompt engineering to improve the transparency and interpretability of RL-driven operator selection for decision-makers.

Project 2 – Resource Allocation Optimization with Dynamic Programming

• Proposed an efficient Stochastic Dual Dynamic Programming (SDDP) algorithm to solve a multi-stage stochastic optimization model for allocating scarce medical resources after disasters.
• Integrated scenario clustering techniques such as K-means++ and Self-Organizing Maps to reduce computational complexity.

Project 1 – Temporary Hospital Location Planning with Benders Decomposition

• Developed a Benders decomposition algorithm for locating temporary hospitals in disaster settings.
• Benchmarked its performance against the Progressive Hedging algorithm to evaluate solution quality and efficiency.

Supervisors: Prof. Hossein Hashemi Doulabi, Prof. Walter Rei, and Prof. Michel Gendreau

M.Sc. in Logistics and Supply Chain Management

Amirkabir University of Technology, Tehran, Iran
Sep 2017 – Jan 2020

• Developed heuristic and metaheuristic algorithms to solve the Production-Routing Problem.

Supervisor: Prof. Behrooz Karimi

B.Sc. in Industrial Engineering

Isfahan University of Technology, Isfahan, Iran
Sep 2013 – Aug 2017