Staff Profile
Dr Duo Li
Senior Lecturer Transport Engineering
- Email: duo.li@ncl.ac.uk
- Address: Future Mobility Group
School of Engineering
Room 4.011 Stephenson Building
Newcastle University
NE1 7RU
Duo`s most recent academic post as Senior Lecturer (Associate Professor) in Transport Engineering at Future Mobility Group, School of Engineering, Newcastle University. He is Degree Programme Director for Transport Engineering, Planning and Management MSc .
Previous Academic Positions
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)
- Fellow, World Economic Forum (WEF) Sustainable Tourism Council
- Peer review College member, Engineering and Physical Sciences Research Council (EPSRC)
- Associate Editor, Transportation Research Record (TRR)
- Associate Editor, IEEE Open Journal of Intelligent Transportation Systems
- Editorial Board Member, Journal of Traffic and Transportation Engineering
- Editorial Board Member, International Journal of Transportation Science & Technology
- Member, IEEE ITSS/SC/SPWG Working Group
- Session Chair, IFORS Triennial Conference
- Session Chair, IEEE IWACI
- Program Committee 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