Ahmad Hemmati

Dr. Ahmad Hemmati is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on optimization models and algorithms for logistics, transportation, and maritime systems. He holds a PhD from the Norwegian University of Science and Technology (NTNU) in 2015. His work addresses challenges in inventory routing, drone delivery systems, and combinatorial optimization using methods like reinforcement learning and metaheuristics. Key contributions include models for maritime cargo optimization, synchronized truck-drone delivery, and feeder network design. He has collaborated internationally with institutions like MIT and the University of Antwerp. His findings are published in journals such as European Journal of Operational Research and Computers & Operations Research, with a focus on practical solutions for industrial logistics problems.

Education: PhD in Operations Research (NTNU, 2015).

Research Interests: Maritime Logistics, Inventory Routing Problems, Combinatorial Optimization, Drone Delivery Systems, and Algorithm Design. His work bridges theoretical models with real-world applications in transportation networks and sustainability.

Publications Trends: Recent articles emphasize deep reinforcement learning applications and maritime environmental monitoring. Earlier work includes foundational contributions to tramp shipping and VMI service routing. His methodologies often blend heuristic algorithms with mathematical programming.

Grants/Awards: No specific awards mentioned, but his work has been funded by the Research Council of Norway and industry collaborations.