Reza Shahin, is a seasoned researcher and lecturer specializing in Computer Science with a focus on Operations Research. With extensive experience in developing and implementing Mixed-Integer Linear Programming (MILP) models, Reza excels in solving complex optimization problems, particularly in supply chain management. His contributions have been impactful, including high-profile projects like inventory management optimization during the COVID-19 pandemic in Quebec.

Adept in programming languages such as C++, Python, R, Java and libraries like CPLEX, Dr. Shahin combines technical expertise with a robust publication record, presenting his research at international conferences. As an educator, he has a strong background in teaching and mentoring, having supervised master's students and served as a lecturer for operations research courses.