Computational optimisation
Mathematical programming, metaheuristics and reinforcement learning for routing, scheduling and resource allocation in transport networks.
The Transport Systems & Logistics Laboratory at Imperial College London undertakes research in transport operations, with a focus on computational optimisation, autonomy and logistics. The lab is led by Prof. Panagiotis Angeloudis and is affiliated with the Imperial Robotics Forum, the Alan Turing Institute, and the Institute for Security Science and Technology.
Mathematical programming, metaheuristics and reinforcement learning for routing, scheduling and resource allocation in transport networks.
Decision-making, motion planning and multi-agent coordination for autonomous vehicles, ships and warehouse robots operating in shared infrastructure.
Port operations, container terminals, fleet management and global supply-chain resilience under disruption and emerging propulsion regimes.
"Stochastic dispatch policies for autonomous vehicle fleets" by Cheong, Angeloudis & Tsetkovsky.
Three-year affiliation expanding our work on safe RL for transport infrastructure.
Funded positions in autonomous shipping and port-operations optimisation. Applications close 30 June.
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The lab studies the operations of transport networks under uncertainty: optimisation methods, autonomous decision-making, and large-scale logistics simulations. We work with port authorities, shipping operators, and infrastructure agencies.