Luis Delgado

Luis Delgado is a Lecturer at the University of Westminster since 2014, previously serving as a lecturer at the Technical University of Catalonia (2007–2014). He holds a PhD (2013) in Air Traffic Flow Management and dual degrees in Computer Science Engineering (UPC) and Aeronautical Engineering (ENAC). His research focuses on Air Transport Management and mobility systems, emphasizing agent-based modeling, airline behavior analysis, and machine learning applications in air traffic optimization. He contributes to the Transport and Mobilities Centre for ATM Research.

Teaching involves the Air Traffic Management Master’s program, including supervision of MSc research and participation in DfT training initiatives. His work addresses challenges like pre-tactical delay prediction, multimodal integration (air-rail), and trajectory optimization under weather uncertainties. Key projects include the Mercury simulator and Dispatcher3/Pilot3 frameworks for flight planning and decision support.

Research outputs span over 50 publications, covering topics such as CO2 emissions modeling, fair delay assignment, and performance metrics for air traffic networks. He actively collaborates on EU-funded initiatives like Vista and Domino to advance strategic ATM modeling and KPI alignment.