Dr Jun Chen BSc (Honours), MSc (Distinction), PhD
|Position:||Lecturer in Engineering Science|
|Tel:||+44 (0)20 7882 8873|
|Location:||310, Engineering, Mile End|
|Expertise:||My research interests lie at the interface of Computer Science, Operational Research and Control Engineering. Over the years, I have consolidated and structured my research along three themes: modelling, optimisation and decision, four cross-cutting application areas: intelligent decision support for airport operations, human factors & brain-computer interface, future flight deck automation systems and intelligent sewer networks, sponsored by EPSRC and industry and supported by the well-balanced research team consisting of senior academics, post-doctoral researchers and PhD students.|
|Research keywords:||Artificial Intelligence, Metaheuristics, Operational Research, Data-Driven Modelling, Intelligent Transportation Systems|
|Affiliations:||Associate Member of the EPSRC Peer Review College|
Dr. Jun Chen is now a Lecturer in Engineering Science at QMUL. He was a Senior Lecturer at the University of Lincoln and received his PhD degree from the University of Sheffield. He has published more than 40 scientific papers in areas of multi-objective optimisation, interpretable fuzzy systems, data-driven modelling, and intelligent transportation systems. Dr. Chen was among the first researchers to investigate the trade-off between taxi time and fuel consumption in airport ground movements (EP/H004424/2), and proposed the Active Routing (AR) concept. AR forms the cornerstone of a major ongoing EPSRC funded project (EP/N029496/1, EP/N029356/1 and EP/N029577/1, in total in excess of £1M) for which Dr. Chen is the lead PI (with BAEs, AirFrance-KLM, Rolls Royce, Manchester and Zurich Airports, and Simio plc.). He has also been the PI on four industrial projects with Anglian Water, and was the CI on three Innovate UK projects (with IMS and Tesco plc, and Siemens). From 2016, he serves as an associate member of the EPSRC Peer Review College.