Welcome to The Centre for Intelligent Transport
The Centre for Intelligent Transport (CIT) combines complementary strengths in Mechanical and Aeronautical Engineering, Power Systems, Robotics and AI, Digital Design and Manufacturing, and Advanced Materials to drive future transport and mobility technologies that better our world.
The Centre takes pride in being particularly strong in merging world-leading theoretical research with applied, industry-oriented experimental work, creating systems and software tools with high market potential and benefit for society. Our mission is to conduct research of the utmost excellence and to translate it into products with wide and beneficial applications, in close collaboration with industry, international universities and governmental bodies.
Research within the Centre focuses on various scientific and engineering problems relevant to future transport systems and spans from Green Propulsion, Robotics, and Autonomous vehicles to Future Mobility with Environmental and Climate technologies, such as those which help reduce aircraft noise and emissions. We also carry out extensive research in Advanced Materials and Manufacturing for Future Transport.
A cross-cutting theme, which is relevant for many our applications is Data Centric Systems Engineering, which includes Numerical Methods and Simulation and AI. Our research has been supported by EPSRC, EU, Innovate UK, BEIS, Royal Academy of Engineering, and other agencies and companies.
Staff within the Centre for Intelligent Transport are active in delivering research-informed education for our undergraduate and postgraduate students in these broad areas.
Recent Publications
- Mechanics and bio-mimicking of wet adhesion in nature
Pang Y Liu T
Progress in Materials Science, Elsevier vol. 158
01-04-2026 - Co-design of structures via generalized evolution
Liu Y Xia B Li Z Ren H Du J Tan W
Computer Methods in Applied Mechanics and Engineering, Elsevier vol. 450
01-03-2026 - Damage self-sensing behavior of basalt fiber/polymer composites modified via electrophoretic deposition
Sun H Xiang D Qiu T Liu L Wang M Zhao C Wang B Li H et al.
Materials Letters, Elsevier vol. 405
01-02-2026
Recent Grants
- Hybrid Intelligence for High-Level Decision-Making in Autonomous Driving - 7 year Part-time PhD studentship -Band B
Valentina Donzella
£107,704 Valeo Schalter und Sensoren GmbH
01-04-2026 - 31-03-2033 - Understanding enhancement pathways of non-equilibrium reactive plasmas
Amin Paykani
£116,579 Leverhulme Trust
01-04-2026 - 31-12-2029 - Onset and characteristics of transonic shock buffet on laminar-flow aircraft wings
Hulya Biler and Kshitij Sabnis
£150,807 Royal Society
31-03-2026 - 30-03-2029





