Humanitarian Operations
Modelling and optimising disaster response, from the distribution of relief and medical supplies to the evacuation of urban areas.
Optimising transport for disaster response and future airspace
Dr Jose Escribano develops optimisation and AI methods for humanitarian logistics, unmanned aviation and autonomous fleets at Imperial College London.
Join the group
PhD recruitment for 2027 entry
Dr Escribano is recruiting PhD students in humanitarian logistics, unmanned aviation and autonomous fleets. Get in touch by Sunday 18 October 2026 for consideration in the first scholarship round.Get in touch by Monday 11 January 2027 for consideration in the next scholarship round.
Research areas and how to apply
Research Areas
All research
Manned and Unmanned Airspace Management
AI-based traffic management for manned and unmanned aircraft, from dynamic sectorisation and flow management to drone safety and vertiport networks.
Multi-modal Autonomous Fleets
Coordinating multi-modal fleets of autonomous vehicles with multi-agent learning, for dispatching, ridesharing and last-mile delivery.
- Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning
- A game-theoretic and machine learning approach for modelling customer service selection in autonomous last-mile delivery
- Policy and Strategy Evaluation of Ridesharing Autonomous Vehicle Operation
Recent Projects
Projects with government, industry and international university partners on humanitarian logistics, air traffic, drone safety and urban air mobility.
All projectsNeural dynamic programming for humanitarian logistics
Combining stochastic dual dynamic programming with meta-learning to plan relief operations at realistic scale.
2026 – 2027
Human behaviour and human-drone interaction in disaster response
Virtual-reality experiments on evacuation behaviour, and models of how drones can guide people to safety.
2026 – 2027
Cold-chain optimisation of food supply chains in Cameroon
Optimising tomato supply chains in Cameroon with a farmer cluster centre and cold chains, to cut losses and support food security.
2024
Simulation of civil aviation networks and air traffic control
An agent-based simulation of air traffic networks and their control under disruption, tested on UK airspace.
2022 – 2024
Selected Publications
| Year | Publication title & venue | Actions |
|---|---|---|
| 2026 | A scalable reinforcement learning-based approach to dynamic airspace sectorizationTransportation Research Part C: Emerging Technologies | |
| 2025 | Agent-based Modeling Approach for Operational Risk Assessment of Large-scale Low-altitude UAV Traffic2025 Integrated Communications, Navigation and Surveillance Conference (ICNS) | |
| 2023 | An integrated vertiport placement model considering vehicle sizing and queuing: A case study in LondonJournal of Air Transport Management | |
| 2020 | Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehiclesOR Spectrum | |
| 2020 | Optimal hub selection for rapid medical deliveries using unmanned aerial vehiclesTransportation Research Part C: Emerging Technologies |
About
Dr Escribano is an Assistant Professor in Transport in the Department of Civil and Environmental Engineering and a member of the Centre for Transport Engineering & Modelling. He completed his MEng in Civil Engineering (2015) and his PhD in Transport (2021) at Imperial, the latter within the EPSRC Centre for Doctoral Training in Sustainable Civil Engineering.
His doctoral thesis built a framework to design and evaluate humanitarian relief operations using UAVs, accounting for energy consumption, flight trajectories and recharging, and conforming to civil aviation navigation specifications. During his PhD he worked with WeRobotics on UAV field-deployment protocols, and in 2017 he was a consultant with the UN World Food Programme, contributing to the first Humanitarian UAV Coordination Mechanism. He held a JSPS fellowship at Kyoto University on urban evacuation in 2023.
Roles
- Director, MSc in Transport and MSc in Transport with Data Science
- Teaches CIVE70106 Air Transportation
- Teaches CIVE70108 Freight Transport