Dr Panagiotis Angeloudis is Reader and Head of the Transport Systems and Logistics Laboratory (TSL), based in the Centre for Transport Studies (CTS) at Imperial College London.
His research focuses on the study of networks, optimisation methods and multi-agent systems, as well as their applications in autonomous transport systems, urban infrastructure and logistics. His group uses numerical analysis, agent-based simulation and game theory to capture the dynamic relationships among interacting agents and their surroundings and mathematical programming or multi-agent reinforcement learning techniques for the design of operating and control regimes.
He has a personal research portfolio of over £4 million, with significant support from EPSRC, InnovateUK and the industry. Examples of recent projects include the design of MaaS platforms using autonomous vehicles; resilience modelling of transport infrastructure; integrated design of unmanned aerial systems for humanitarian logistics.
Panagiotis was recently appointed by the UK Department for Transport to the Expert Panel for Maritime 2050 and was a member of the UK Government Office of Science Future of Mobility review team. He has also advised the Colombian Government on the formulation of a national logistics infrastructure masterplan and China’s National Development and Reform Commission (NDRC) on the design of the Wuhan Logistics Cluster. He serves as an Associate Editor of the Journal of Maritime Policy and Management, and a member of the TRB (Transportation Research Board, USA) Committee on Ports and Channels.
Within Imperial, he also leads the Intelligent Infrastructure and Transport Systems Laboratory (IITS) and is Director of the MSc Transport Programme. He is affiliated with the Centre for Systems Engineering and Innovation, the Institute for Security Science and Technology, the Energy Futures Lab, the Grantham Institute and the Imperial Robotics Forum.
Goldbeck N, Angeloudis P, Ochieng WY, 2019, Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models, Reliability Engineering & System Safety, Vol:188, ISSN:0951-8320, Pages:62-79
et al., 2019, Modelling the impact of liner shipping network perturbations on container cargo routing: Southeast Asia to Europe application, Accident Analysis & Prevention, Vol:123, Pages:399-410
Anvari B, Angeloudis P, Ochieng WY, 2016, A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction, Automation in Construction, Vol:71, ISSN:0926-5805, Pages:226-241
et al., 2016, Spot sale of uncommitted LNG from Middle East: Japan or the UK?, Energy Policy, Vol:96, Pages:717-725
Angeloudis P, Greco L, Bell MGH, 2016, Strategic maritime container service design in oligopolistic markets, Transportation Research Part B - Methodological, Vol:90, ISSN:0191-2615, Pages:22-37
Angeloudis. P, 2006, Large subway systems as complex networks, Physica A: Statistical Mechanics and Its Applications, Vol:367, Pages:553-558