Mr. Gopal Saha is a dedicated researcher and Ph.D. candidate in Management Studies at the Indian Institute of Technology Roorkee, with primary research interests in Integer Programming, Optimization, Transportation and Routing Problems, Machine Learning, and Game Theory. His scholarly work focuses on integrating operations research and data analytics to address real-world decision-making and sustainability challenges. He has presented influential research papers at renowned international conferences, including the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) and the Transportation Infrastructure Projects: Conception to Execution (TIPCE), earning accolades such as a special mention award and selection for the Best Paper Award shortlist. Mr. Saha has actively participated in specialized academic workshops, including the ACM India Winter School, GIAN courses, and Large Scale Optimization programs at IITs, reflecting his deep engagement with cutting-edge research. His technical proficiency spans Python, C++, CPLEX, Gurobi, Pyomo, Sklearn, and Google OR-Tools, allowing him to combine computational models with theoretical insights in optimization and management science. As a Teaching Assistant, he has contributed to prestigious online programs on Artificial Intelligence, Machine Learning, and Strategic Supply Chain Management offered by IIT Roorkee in collaboration with Deloitte USI and Coursera. His growing academic footprint includes 1 citation, an h-index of 1, (all since 2020), highlighting his emerging impact in the field. Mr. Saha’s work exemplifies a strong blend of analytical rigor, innovation, and interdisciplinary research in optimization and management.
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