Research
Artificial Intelligence, Metaheuristics, Operational Research, Intelligent Transportation Systems, Data-Driven Modelling
Interests
Dr Chen is a Senior Lecturer in Engineering Science at QMUL. He has published more than 50 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 EPSRC-QMUL IAA projects, 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. He is also a Turing Fellow at Alan Turing Institute.
Publications

Publications of specific relevance to Advanced Robotics
2022

Weiszer M, Burke EK and
Chen J (2022).
Search graph structure and its implications for multi-graph constrained routing and scheduling problems. Scientific Reports vol. 12, (1)
10.1038/s41598-022-18026-w
Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M and
Chen J (2022).
An Interval Type-2 Fuzzy Logic Based Map Matching Algorithm for Airport Ground Movements. IEEE Transactions on Fuzzy Systems 10.1109/TFUZZ.2022.3221793
Du W, Li B,
Chen J, Lv Y and Li Y (2022).
A Spatiotemporal Hybrid Model for Airspace Complexity Prediction. IEEE Intelligent Transportation Systems Magazine 10.1109/MITS.2022.3204099
Ma Y, Du W,
Chen J, Zhang Y, Lv Y and Cao X (2022).
A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area. IEEE Intelligent Transportation Systems Magazine 10.1109/MITS.2021.3132766
Zhang Q,
Chen J and Nguyen TT (2022).
Computational Intelligence in Data-Driven Modelling and Its Engineering Applications 2020. Mathematical Problems in Engineering vol. 2022,
10.1155/2022/98459062021

Long T, Li Y and
Chen J (2021).
Productivity prediction in aircraft final assembly lines: Comparisons and insights in different productivity ranges. Journal of Manufacturing Systems vol. 62, 377-389.
10.1016/j.jmsy.2021.12.010
Wang X, Brownlee AEI, Weiszer M, Woodward J, Mahfouf M and
Chen J (2021).
A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties. Transportation Research Part C: Emerging Technologies 10.1016/j.trc.2021.103382
Li B, Du W, Zhang Y,
Chen J, Tang K and Cao X (2021).
A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation. IEEE Transactions on Intelligent Transportation Systems 10.1109/TITS.2021.3106779
Du W, Guo T,
Chen J, Li B, Zhu G and Cao X (2021).
Cooperative pursuit of unauthorized UAVs in urban airspace via Multi-agent reinforcement learning. Transportation Research Part C: Emerging Technologies vol. 128,
10.1016/j.trc.2021.103122
Beke L, Weiszer M and
Chen J (2021).
A Comparison of Genetic Representations and Initialisation Methods for the Multi-objective Shortest Path Problem on Multigraphs., Editors: Ekárt A and Esparcia-Alcázar AI.
SN Computer Science vol. 2, (3)
10.1007/s42979-021-00512-z
Obajemu O, Mahfouf M, Maiyar LM, Al-Hindi A, Weiszer M and
Chen J (2021).
Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model. Engineering 10.1016/j.eng.2021.01.0092020
Wang X, Brownlee AEI, Woodward JR, Weiszer M, Mahfouf M and
Chen J (2020).
Aircraft taxi time prediction: Feature importance and their implications. Transportation Research Part C: Emerging Technologies vol. 124,
10.1016/j.trc.2020.102892
Weiszer M, Burke EK and
Chen J (2020).
Multi-objective routing and scheduling for airport ground movement. Transportation Research Part C: Emerging Technologies vol. 119,
10.1016/j.trc.2020.102734
Wang Y, Zheng H, Wu F,
Chen J and Hansen M (2020).
A Comparative Study on Flight Delay Networks of the USA and China. Journal of Advanced Transportation vol. 2020, 1-11.
10.1155/2020/1369591
Tianci Z, Michal W and
Chen J (2020).
The feasibility of Follow-the-Greens for 4-dimensional trajectory based airport ground movements. Transportation Research Part C: Emerging Technologies 10.1016/j.trc.2020.1026322019

Wang H, Zhang Z, Dai Z,
Chen J, Zhu X, Du W and Cao X (2019).
Heterogeneous pigeon-inspired optimization. Science China Information Sciences vol. 62, (7)
10.1007/s11432-018-9713-7
Zhang X-J, Jia W, Guan X-M, Xu G-Q,
Chen J and Zhu Y-B (2019).
Optimized deployment of a radar network based on an improved firefly algorithm. Frontiers of Information Technology and Electronic Engineering vol. 20, (3) 425-437.
10.1631/fitee.1800749
Zareian E,
Chen J, O'Hare L, Bhattacharya BS and Gordon T (2019).
Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 4224-4229.
10.1109/SMC.2018.007152018

Liu H, Liu F, Zhang X, Guan X,
Chen J and Savinaud P (2018).
Aircraft conflict resolution method based on hybrid ant colony optimization and artificial potential field. Science China Information Sciences vol. 61, (12)
10.1007/s11432-017-9310-5
Cao X, Zhu X, Tian Z,
Chen J, Wu D and Du W (2018).
A knowledge-transfer-based learning framework for airspace operation complexity evaluation. Transportation Research Part C: Emerging Technologies vol. 95, 61-81.
10.1016/j.trc.2018.07.008
Brownlee AEI, Weiszer M, Woodward JR and
Chen J (2018).
A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing. GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference 1207-1213.
10.1145/3205455.3205558
Zhang T, Ding M, Zuo H,
Chen J, Weiszer M, Qian X and Burke EK (2018).
An online speed profile generation approach for efficient airport ground movement. Transportation Research Part C: Emerging Technologies vol. 93, 256-272.
10.1016/j.trc.2018.05.030
Brownlee AEI, WEISZER M,
CHEN J, Ravizza S, WOODWARD JR and BURKE EK (2018).
A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation. Transportation Research Part C: Emerging Technologies 10.1016/j.trc.2018.04.020
WEISZER M,
CHEN J, stewart P and Zhang X (2018).
Preference-based evolutionary algorithm for airport surface operations. Transportation Research Part C: Emerging Technologies 10.1016/j.trc.2018.04.008
CHEN J, WEISZER M, Zareian E, Mahfouf M and Obajemu O (2018).
Multi-objective Fuzzy Rule-Based Prediction and Uncertainty Quantification of Aircraft Taxi Time. Conference: IEEE 20th International Conference on Intelligent Transportation Systems (Yokohama, Japan) 10.1109/ITSC.2017.8317826
Obajemu O, Mahfouf M, Allerton D, Weiszer M and
Chen J (2018).
A type-2 fuzzy modelling framework for aircraft taxi-time prediction. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC vol. 2018-March, 1-6.
10.1109/ITSC.2017.83177982017

Guan X, Zhang X, Lv R,
Chen J and Michal W (2017).
A large-scale multi-objective flights conflict avoidance approach supporting 4D trajectory operation. Science China Information Sciences vol. 60, (11)
10.1007/s11432-016-9024-y2016

Zhang Y, Gallimore M, Bingham C,
Chen J and Xu Y (2016).
Hybrid Hierarchical Clustering — Piecewise Aggregate Approximation, with Applications. International Journal of Computational Intelligence and Applications vol. 15, (04) 1650019-1650019.
10.1142/S146902681650019X
Chen J, Weiszer M, Locatelli G, Ravizza S, Atkin JA, Stewart P and Burke EK (2016).
Toward a more realistic, cost-effective, and greener ground movement through active routing: A multiobjective shortest path approach. IEEE Transactions on Intelligent Transportation Systems vol. 17, (12) 3524-3540.
10.1109/TITS.2016.2587619
Chen J, Weiszer M, Stewart P and Shabani M (2016).
Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing - Part I: Optimal Speed Profile Generation. IEEE Transactions on Intelligent Transportation Systems vol. 17, (5) 1196-1209.
10.1109/TITS.2015.2477350
Zareian E,
Chen J and Bhattacharya BS (2016).
A robust evolutionary optimisation approach for parameterising a neural mass model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformat vol. 9887 LNCS, 225-234.
10.1007/978-3-319-44781-0_272015

Weiszer M,
Chen J and Stewart P (2015).
Preference-Based Evolutionary Algorithm for Airport Runway Scheduling and Ground Movement Optimisation. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC vol. 2015-October, 2078-2083.
10.1109/ITSC.2015.336
Chen J, Weiszer M and Stewart P (2015).
Optimal Speed Profile Generation for Airport Ground Movement with Consideration of Emissions. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC vol. 2015-October, 1797-1802.
10.1109/ITSC.2015.292
Weiszer M,
Chen J and Stewart P (2015).
A real-time Active Routing approach via a database for airport surface movement. Transportation Research Part C: Emerging Technologies vol. 58, 127-145.
10.1016/j.trc.2015.07.011
Weiszer M,
Chen J and Locatelli G (2015).
An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector. Applied Energy vol. 157, 567-582.
10.1016/j.apenergy.2015.04.0392014
Chen J, Mahfouf M and Sidahmed G (2014).
A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm. Engineering Applications of Artificial Intelligence vol. 37, 103-114.
10.1016/j.engappai.2014.08.014
Weiszer M,
Chen J, Ravizza S, Atkin J and Stewart P (2014).
A heuristic approach to greener airport ground movement. Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 3280-3286.
10.1109/CEC.2014.6900372
Ravizza S,
Chen J, Atkin JAD, Stewart P and Burke EK (2014).
Aircraft taxi time prediction: Comparisons and insights. Applied Soft Computing vol. 14, 397-406.
10.1016/j.asoc.2013.10.0042013

Ravizza S,
Chen J, Atkin JAD, Burke EK and Stewart P (2013).
The trade-off between taxi time and fuel consumption in airport ground movement. Public Transport vol. 5, (1-2) 25-40.
10.1007/s12469-013-0060-12012
Chen J and Mahfouf M (2012).
Improving Transparency in Approximate Fuzzy Modeling Using Multi-objective Immune-Inspired Optimisation. International Journal of Computational Intelligence Systems vol. 5, (2) 322-342.
10.1080/18756891.2012.685311
Grants

Grants of specific relevance to Advanced Robotics
Trustable public transit through integrated multimodal transit networks and trip planningChen J and Khondokar NH
Engineering and Physical Sciences Research Council (30-09-2021 - 31-12-2025)
Summary
Network Design OptimisationChen J and Arpaci A
Engineering and Physical Sciences Research Council (02-12-2019 - 29-09-2023)
Summary
TRANSIT: Towards a Robust Airport Decision Support System for Intelligent TaxiingChen J and Lone MM
£201,363
Engineering and Physical Sciences Research Council (31-08-2017 - 31-10-2020)
Summary
TRANSIT: Towards a Robust Airport Decision Support System for Intelligent TaxiingChen J and Lone MM
£316,421
Engineering and Physical Sciences Research Council (30-06-2016 - 30-05-2017)
Summary
网络化协同空管系统的理论与方法Chen J£500,000
National Natural Science Foundation of China (01-01-2010 - 31-12-2012)
Summary
A NEW FRAMEWORK FOR HYBRID THROUGH-PROCESS MODELLING, PROCESS SIMULATION AND OPTIMISATION IN THE METALS INDUSTRYRainforth WNM,
Chen J, Thackray RP, Pinna C, Todd I, Tsakiropoulos P, Banks S, Palmiere EJ, Wynne BP, Yates JR and Mahfouf M
£4,529,692
Engineering and Physical Sciences Research Council (01-01-2008 - 31-12-2012)
Summary
SANDPIT: Integrating and Automating Airport OperationsBurke EK,
Chen J, Eftekhari M, Zhong Q-C and Stewart PG
£659,804
Engineering and Physical Sciences Research Council (21-12-2009 - 30-11-2011)
Summary