Dr Jun Chen
BSc (Honours), MSc (Distinction), PhD, FHEA
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Current Funded Research Projects
Start: 01-10-2019 / End: 30-09-2023
Start: 01-06-2017 / End: 30-04-2022
TRANSIT (Towards a Robust Airport Decision Support System for Intelligent Taxiing) is a four site project between Queen Mary University of London, the University of Sehffield, University of Stirling and Cranfield University, funded by the UK EPSRC (grant numbers EP/N029496/1, EP/N029356/1, EP/N029577/1). The lead at each site is, respectively, Dr Jun Chen, Prof Mahdi Mahfouf, Dr John Woodward and Dr Mudassir Lone, with Dr Chen as the overall project director. The project also has an extensive list of industrial partners, which currently includes Air France – KLM, BAE Systems, Manchester Airport Plc, Rolls-Royce Plc, Simio LLC and Zurich Airport. The TRANSIT project aims to develop a unified routing and scheduling system which will be more Realistic, Robust, Cost-effective and Configurable, producing better conformance of flight crew in response to 4 Dimensional Trajectories.
Previous Funded Research Projects
Start: 20-01-2019 / End: 19-07-2019
Start: 03-09-2018 / End: 03-12-2018
Transferring an Intelligent Pump controller onto a Hardware Platform-Phase 5: Advanced FuncationalityFunding source: Anglian Water Group LTD
Start: 18-09-2017 / End: 17-09-2018
In the previous 4 phases of the project, an intelligent pump controller based on Fuzzy Logic has been transferred onto an Arduino hardware platform which created a basis for a general control solution for Anglian Water sewer network. A prototype of the intelligent pump controller has been successfully deployed to a pumping station for an extended trial operation. Following this development, further advanced functions and features are needed for the intelligent pump controller to enable maintenance features, communication and diagnostic functions based on sensor inputs.
Other Research Projects
The TRANSIT project aims to develop a unified routing and scheduling system which will be more realistic, robust, cost-effective and configurable, producing better conformance of flight crew in response to 4 Dimensional Trajectories.