معرفی
Dr. Tommaso Schettini is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on transportation systems optimization, including electric vehicle charger location, metro timetabling, and demand-driven scheduling strategies. He holds an ORCID identifier (0000-0003-2578-1539) and supervises Master's and PhD students in Industrial Engineering. His work integrates operations research techniques like Benders decomposition and metaheuristics to solve real-world transportation and manufacturing challenges.
Research Areas: Electric Vehicle Infrastructure Planning, Metro Timetabling Strategies, Integer Programming, Discrete Simulation-based Optimization, and Combinatorial Optimization.
Notable contributions include developing pattern-based algorithms for short-turning metro lines and optimizing micro-mobility integration with public transit. His articles span 2016–2024, emphasizing demand-driven approaches in transportation and manufacturing systems.
