麻豆传媒

Duo`s most recent academic post as Senior Lecturer (Associate Professor) in Transport Engineering at Future Mobility Group, School of Engineering, 麻豆传媒. He is Degree Programme Director for Transport Engineering, Planning and Management MSc . 

Previous Academic Positions

2024–present Senior Lecturer in Transport Engineering, 麻豆传媒, United Kingdom 

2022–2023 Senior Lecturer in Transport Systems, Nottingham Trent University, United Kingdom 

2020–2022 Research Associate, University of Cambridge, United Kingdom 

2018–2019 Alexander von Humboldt Fellowship, German Aerospace Centre (DLR), Germany 

2015–2018 Academic Positions, Chang`an University, China 

Qualifications

2012 – 2015 PhD: Transport Engineering, University of Auckland, New Zealand

2010 – 2011 MSc: Transport Engineering, University of Queensland, Australia

2006 – 2010 BSc: Transport Engineering, Huazhong University of Science and Technology, China

Other activities

- Senior Member, Institute of Electrical and Electronics Engineers (IEEE)

- Charted Member, the Chartered Institute of Logistics and Transport (CILT)

- Fellow, Higher Education Academy (HEA)

- Associate Editor, IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

- Associate Editor, Transportation Research Record (TRR)

- Associate Editor, IEEE Open Journal of Intelligent Transportation Systems

- Member, TRB Standing Committee on Highway Traffic Monitoring (ACP70). 

- Editorial Board Member, Journal of Traffic and Transportation Engineering

- Editorial Board Member, International Journal of Transportation Science & Technology

- Fellow, World Economic Forum (WEF) Sustainable Tourism Council

- Session Chair, IFORS Triennial Conference 

- Session Chair, IEEE IWACI

- Editorial Board Member, SUMO Conference

I am currently seeking motivated PhD/MPhil students. If you're keen to explore this field, please connect with me.

Research Areas

• Urban mobility data computing

• Motorway traffic flow control and management

• Digital twins for smart transport

• Resilience and sustainability in transport systems

• Connected, Autonomous, Shared, and Electric (CASE) transport modelling and operations

• Data-centric approaches in transportation

• AI Applications in transportation, e.g., transformer-like architectures, graph neural networks, auto machine learning (AutoML) and deep reinforcement learning

-       Module Leader, CEG8423-Transport Research Methods

-       Module Leader, CEG8421-Traffic Flow and Control

-       Module Leader, CEG8419-Modelling and Analysis of Travel and Transport Behaviour

-       Contributor, CEG8496-MSc Project and Dissertation in Transport Engineering

-       Contributor, CEG3004-Sustainable Engineering Systems Design Project

-       Contributor, CEG8099-Investigative Research Project