Bio: Mostafa Ameli is an Associate Professor in applied mathematics, computer science, and transportation science at the Transportation Engineering and Computer Science Laboratory (GRETTIA), Université Gustave Eiffel, Paris, France. His research lies at the intersection of operations research and computer science, focusing on mathematical, machine learning, and computational tools to design smarter and more resilient transportation systems. Before joining GRETTIA, he contributed to a Horizon 2020 ERC project and received his Ph.D. degree in 2019 from Université Paris-Est, IFSTTAR (The French Institute of Science and Technology for Transport, Planning, and Networks), and the University of Lyon, France. He is the founder of the IEEE France Section ITSS Chapter and a member of the IEEE ITS Technical Committee on Decision and Control in Transportation Systems. As PI, he has received a French national starting grant (ANR JCJC, 2025–2029), France–Berkeley funding from Collège de France (2023–2024), and I-SITE FUTURE funding (2023–2025).

Academic career:

PhD

11/2016 – 10/2019 Civil Engineering – Operations Research & Computer Science

IFSTTAR & University of Lyon, MEGA, Paris, France

Thesis: Heuristic Methods for Calculating Dynamic Traffic Assignment

Master of Science (M2)

09/2015 – 10/2016 Mechanical Engineering

Arts et Métiers ParisTech, Paris, France

Master of Science

10/2014 – 09/2016 Industrial Engineering

University of Tehran, Tehran, Iran

Bachelor of Science

10/2010 – 09/2014 Industrial Engineering

University of Tehran, Tehran, Iran

Teaching activities:

Since 2025, Machine Learning

• Institution: ESIEE Paris, France

• Engineering diploma (Bac+4)

Since 2022, Probability Theory and Statistics

• Institution: ESIEE Paris, France

• Engineering diploma (Bac+3)

Since 2022, Multi-criteria decision-making (MCDM)

• Institution: ESIEE Paris, France

• Engineering diploma (Bac+4)

Since 2021, Decision-Making and Analysis for Intelligent Systems

• Institution: Université Gustave Eiffel, France

• Master 2 in intelligence systems (Bac+5)

Honors & Awards:

2025 - THNS Best Research Award

• Study on Resilience and Congestion Management

2025 - Transportation Science Meritorious Service Awards

• Institute for Operations Research and the Management Sciences (INFORMS)

2024 - French National Research Starting Grant (ANR JCJC)

• ANR SMART-ROUTE - Agence nationale de la recherche (ANR)

2024 - IEEE ITS Institutional Lead Award (collective)

• Attributed to the CIRCLES project - IEEE Intelligent Transportation Systems Society

2024 - IEEE ITSS Fellowship Program

• Young Professional - IEEE Intelligent Transportation Systems Society

2023 - France–Berkeley Fund (FBF) Award

• Collège de France & University of California - Co-PI with Prof. Alex Skabardonis (UC Berkeley)

2022 - TSL Outstanding Paper Award in Urban Transportation Planning and Modeling

• Mean Field Games Framework to Departure Time Choice Equilibrium in Urban Traffic Networks (1st author) - INFORMS Transportation Science & Logistics Society

Journal Publications:

• Shams, S., Munch, E., Touzout, F., Oukhellou, L. and Ameli, M., 2025. Critical commuters and staggered working hours strategies: A two-stage framework integrating machine learning and social equity. Transport Policy, p.103854.
• X.S. Zhou, T. Kim, M. Ameli, H.B. Zhu, Y. Honma, and R.M. Pendyala, 2025. Flow-through tensors: A unified computational graph architecture for multi-layer transportation network optimization. Artificial Intelligence for Transportation, 1, p.100006.
• Jaber, S., Ameli, M., Mahdavi, S.H., and Bhouri, N., 2025. A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks. Sustainable Cities and Society, 124, p.106276.
• Ameli, M., McQuade, S.T., Lee, J.W., Bunting, M., Nice, M.W., Wang, H., Barbour, W., Weightman, R., Denaro, C., Delorenzo, R., Hornstein, S., Davis, J.F., et al 2025. Design, preparation, and execution of the 100-AV field test for the CIRCLES consortium: Methodology and implementation of the largest mobile traffic control experiment to date. IEEE Control Systems, 45(1), pp.139-155.
• Lee, J., Wang, H., ..., Ameli, M., et al., 2025. Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs. IEEE Control Systems, 45(1), 28-60.
• H. Idoudi, W. Li, M. Ameli, M. C. Gonzalez, M. Zargayouna, 2024 “Population Evacuation in Motion: Harnessing Disaster Evolution for Effective Dynamic Emergency Response”, IEEE Transactions on Intelligent Vehicles.
• Alisoltani, N., Zargayouna, M., & Ameli, M., 2024. Optimizing Ride Sharing Efficiency: Innovative Shareability-Focused Pricing Strategies. Transportmetrica B: Transport Dynamics.
• M. Ameli, J. P. Lebacque, N. Alisoltani, L. Leclercq, 2024. ”Collective departure time allocation in large-scale urban networks: A flexible modeling framework with trip length and desired arrival time distributions.” Transportation Research Part B: Methodological, 189, 102990.
• H. Idoudi, M. Ameli, C. Van Phu, M. Zargayouna, A. Rachedi, 2024. “Smart dynamic evacuation planning and online management using vehicular communication system”, Computer-Aided Civil and Infrastructure Engineering, 39(10), 1452-1468.
• R. Amghar, S. Jaber, S. M. H. Mahdavi M., N. Bhouri, M. Ameli, 2024. ”Resilience as a Service for Transportation Networks: Definition and Basic Concepts”, Transportation Research Record, 2678(1):177-89.
• T. Bapaume, E. Come, M. Ameli, J. Roos, L. Oukhellou, 2023. ”Forecasting passenger flows and headway at train level for a public transport line: Focus on atypical situations”, Transportation Research Part C: Emerging Technologies,153:104195.
• S. F. A. Batista, M. Ameli, M. Menendez, 2023. “On the characterization of eco-friendly paths for regional networks”, IEEE Open Journal of Intelligent Transportation Systems, 204-15.
• L. Balzer, M. Ameli, J. P. Lebacque, L. Leclercq, 2023. ”Dynamic Tradable Credit Scheme for Multimodal Urban Networks”, Transportation Research Part C: Emerging Technologies 149 (2023): 104061.
• H. Idoudi, M. Ameli, C. Van Phu, M. Zargayouna, A. Rachedi, 2022. “Online population evacuation management using dynamic shelter allocation and traffic assignment models”, IEEE Access, 10, 88606-88620.
• M. Ameli, S. Shirani, J. P. Lebacque, H. Abouee-Mehrizi, L. Leclercq, 2022. “Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games”, Transportation Science.
• M. Ameli, J. P. Lebacque, L. Leclercq, 2022. “Evolution of multimodal final user equilibrium considering public transport network design history”, Transportmetrica B: Transport Dynamics, 10.1, 923-953.
• N. Alisoltani, M. Ameli, M. Zargayouna L. Leclercq, 2022. “Space-time clustering-based method to optimize shareability in real-time Ride-Sharing”, PloS One, 17(1), e0262499.
• R. Chen, M. Ameli, L. Leclercq, 2021. “Unravelling System Optimums by trajectory data analysis and machine learning”, Transportation Research Part C: Emerging Technologies, 130, 103318.
• T. Bapaume, E. Côme, J. Roos, M. Ameli, L. Oukhellou, 2021. "Image Inpainting and Deep Learning to Forecast Short-Term Train Loads", IEEE Access, 9, 98506-98522.
• M. Ameli, J. P. Lebacque, L. Leclercq, 2021. “Computational Method for Multi-modal Multi-class Traffic Network Equilibrium Model: A Review based on Simulation Test Case”, Journal of Advanced Transportation, 8815653.
• M. Ameli, J. P. Lebacque, L. Leclercq, 2020. “Simulation-based dynamic traffic assignment: meta-heuristic solution methods with parallel computing”, Computer-Aided Civil and Infrastructure Engineering, DOI: 10.1111/mice.12577.
• M. Ameli, J. P. Lebacque, L. Leclercq, 2020. “Improving traffic network performance with road banning strategy: a simulation approach comparing user equilibrium and system optimum”, Simulation Modelling Practice and Theory, vol. 99, p. 101995.
• M. Ameli, J. P. Lebacque, L. Leclercq, 2020. “Cross-comparison of convergence algorithms to solve trip-based dynamic traffic assignment problems”, Computer-Aided Civil and Infrastructure Engineering, 35:219–240.
• Azadeh, A., Ameli, M. and Alisoltani, N. D., 2016. Fuzzy approach to medical processes control using multi-control chart and decision-making method: Radiotherapy case study. Quality & Quantity International of Methodology, Quality & Quantity, 50(6), pp.2469-2493.