Dr Zhiyuan Lin
- Position: Lecturer in Railway Operations and Control
- Areas of expertise: Transport scheduling, esp. train timetabling and rolling stock / crew scheduling; Operational Research and network flow optimisation; Efficient solution approaches for integer linear programs.
- Email: Z.Lin@leeds.ac.uk
- Phone: +44(0)113 343 7410
- Location: 2.01 ITS
Profile
I have a background in Operational Research (OR), Computational Optimisation and Computer Science. Before joining ITS, Leeds, I was a research fellow at School of Computing, University of Leeds, and then a lecturer at Alliance Manchester Business School, University of Manchester.
I belong to the Spatial Modelling and Dynamics (SMaD) group of ITS. I’m a memeber of the Operational Research Society (https://www.theorsociety.com/).
Responsibilities
- Module leader of TRAN5510M Railway Operations and Management
Research interests
Key research interest:
- Railway scheduling, including timetabling, rolling stock scheduling and crew scheduling
- The application of Operational Research (OR) and optimisation (esp. combinatorial optimisation and network flow problems) in various transport problems
- Advanced algorithms for integer linear programming, including both exact and meta/hybrid heuristic methods
- Machine learning based approaches in transport optimisation
Research projects (past and ongoing):
- EPSRC IAA: Train unit capacity strengthening optimisation using RS-opt (PI)
- N8: Network for Innovative Sustainable Transportation Co-Simulation (NIST-CS) - Second Stage (PI)
- Innovate UK / Rail Safety and Standards Board (RSSB): Dynamic train planning: Very Short Term Planning (co-I)
- EU Horizon 2020: Roadmaps for A.I. Integration in the Rail Sector (RAILS) https://rails-project.eu/ (co-I)
- EU Horizon 2020 - Innovation Actions: MOdify Drivers’ behaviour to Adapt for Lower EmissionS (MODALES) https://modales-project.eu/
- Ministry of Science, Innovation and Universities (Spain): Mathematical Optimization in Network Location and Planning Problems https://investigacion.us.es/sisius/sis_proyecto.php?idproy=32145
- UK EPSRC: Train Unit Scheduling Optimisation https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/M007243/1
- UK EPSRC: Assessing the underworld - an integrated performance model of city infrastructures
- UK EPSRC: Mapping the Underworld
- EU and the Ministry of Economy and Competitiveness (Spain): Structural analysis of mathematical models for optimization in location and transportation planning
- Alliance Manchester Business School: Assessing train timetable robustness by supervised machine learning (PI)
PhD student supervision:
- Li Lei (School of Computing, completed)
- Ruifan Tang (2020 – )
- Jinyi Pan (2022 – )
- Chuhan Yin (2023 – )
Visiting PhDs/scholars:
- Enze Liu (2022 – )
- Peiyang Wu (2022 – )
- Fei Han (2022 – )
- Xue Wu (2022 – )
- Network for Innovative Sustainable Transportation Co-Simulation (NIST-CS) - Second Stage
- Train unit capacity strengthening optimisation using RS-opt
Qualifications
- PhD Computer Science, School of Computing, University of Leeds, UK
Professional memberships
- Memeber of the Operational Research Society (https://www.theorsociety.com/).
- Honorary member of Decision and Cognitive Sciences Research Centre, University of Manchester
Student education
- I presently teach modules:
- TRAN5510M Railway Operations & Management (module lead)
- TRAN5550M Railway Signalling and Control
- TRAN5020M Principles of Transport Modelling
- TRAN3031 Public Transport Policy and Practice
- TRAN5181M Public Transport Planning and Management
- TRAN5912M Transport Integrated Project (TIP): Student mentor and area expert
- MSc student project supervisor and academic personal tutor
Research groups and institutes
- Spatial Modelling and Dynamics