Seyed Sajjad Fazeli

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About

Seyed Sajjad Fazeli is a researcher focused on the intersection of electric vehicles, autonomous driving, and combinatorial optimization. His primary research area involves developing efficient algorithms for complex routing problems, specifically addressing the unique constraints of electric and autonomous fleets. Fazeli’s major contribution lies in his work on the min-max routing problem, where he designs algorithms to balance workload and minimize the maximum travel time or energy consumption for a fleet of vehicles. His most cited paper, “Efficient algorithms for electric vehicles’ min-max routing problem” (2023, 11 citations), tackles the challenge of reducing greenhouse gas emissions from transportation by optimizing EV routes. This work builds on his earlier foundational study from 2020 (5 citations), which explored the synergy between electric and autonomous vehicles to overcome range and charging limitations. By addressing both environmental sustainability and operational efficiency, Fazeli’s research provides practical solutions for logistics companies transitioning to greener fleets. His algorithmic innovations are particularly notable for their scalability, making them applicable to real-world urban delivery and e-commerce operations.