Mohammad Sadrani isĀ an Assistant Professor of Public Transport Planning and Optimization at the University of Twente since January 2026. He received his Ph.D. in transportation engineering with the highest distinction (Summa Cum Laude) from the Technical University of Munich (TUM) in 2024. Prior to joining Twente, he worked as a postdoctoral researcher at the chair of railway operations at TU Dresden, Germany. He has served as a lecturer for several transportation-related courses in Germany (at TUM and TU Dresden), and also as a guest lecturer in Singapore (at TUM Asia).

His research focuses on the planning and optimization of public transport and railway systems using operations research and optimization-based methods, with particular interest in emerging technologies (such as automation and electrification). Moreover, he isĀ interested in resilience concepts and disruption management in transport planning.

In his recent research, Mohammad also works on multimodal transport solutions in urban and rural areas, such as integrated passenger-parcel transport through shared fleets and infrastructure, as well as air-ground cooperation (e.g., drone delivery services) to support urban parcel logistics.

Expertise

  • Computer Science

    • Collected Data
    • Public Transportation
    • Simulated Annealing
    • Genetic Algorithm
    • Nonlinear Programming
    • Programming Model
  • Social Sciences

    • Bus
    • Travel Time

Organisations

Publications

2026

A decision-support framework for selecting new energy bus technologies: Assessing battery electric and hydrogen fuel cell buses (2026)Transportation research. Part A: Policy and practice, 213. Article 105201 (E-pub ahead of print/First online). Sadrani, M., Giagnorio, M. & Tirachini, A.https://doi.org/10.1016/j.tra.2026.105201Exploring Fairness in Train Timetabling and Rolling Stock Scheduling with Flexible (Un)coupling in a Y-Shaped Network (2026)Urban Rail Transit (E-pub ahead of print/First online). Lu, T., Sadrani, M., Singh, R., Zheng, H., Chen, J., Liu, Y. & Antoniou, C.https://doi.org/10.1007/s40864-026-00271-1

2025

Deep learning and machine learning models for portfolio optimization: Enhancing return prediction with stock clustering (2025)Results in Engineering, 27. Article 106263. Ashrafzadeh, M., Sadrani, M. & Zolfani, S. H.https://doi.org/10.1016/j.rineng.2025.106263Joint Optimization of Transit Network Design, Timetable, and Passenger Assignment With Exact Transfer Behavior Modeling (2025)IEEE transactions on intelligent transportation systems, 26(7), 9263-9276 (E-pub ahead of print/First online). Liang, Y., Antoniou, C., Sadrani, M. & Tang, J.https://doi.org/10.1109/TITS.2025.3573284Challenges in urban air mobility implementation: A comparative analysis of barriers in Germany and the United States (2025)Journal of Air Transport Management, 126. Article 102780. Sadrani, M., Adamidis, F., Garrow, L. A. & Antoniou, C.https://doi.org/10.1016/j.jairtraman.2025.102780Dynamic Network Capacity Allocation Using Model Predictive Control With Sparse Identification of Nonlinear Dynamics (2025)IEEE transactions on intelligent transportation systems, 26(9), 13939-13953 (E-pub ahead of print/First online). Lu, Q.-L., Stern, R., Sadrani, M. & Antoniou, C.https://doi.org/10.1109/TITS.2025.3564934Bus scheduling with heterogeneous fleets: Formulation and hybrid metaheuristic algorithms (2025)Expert systems with applications, 263. Article 125720. Sadrani, M., Tirachini, A. & Antoniou, C.https://doi.org/10.1016/j.eswa.2024.125720Stop plan optimisation for three-pattern skip-stop schemes for urban rail transit systems (2025)EURO Journal on Transportation and Logistics, 14. Article 100149. Sahachaiseree, S., Sadrani, M. & Antoniou, C.https://doi.org/10.1016/j.ejtl.2024.100149

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

Address

University of Twente

Horst Complex (building no. 20), room Z214
De Horst 2
7522 LW Enschede
Netherlands

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