Department: EMob-Lab (Energy & Mobility Laboratory)

Leadership & Grants:

• Principal Investigator & Project Coordinator, GREENSHIFT (ANR JCJC personal research grant on multimodal mobility hubs & network optimization, 2027–2031)
• Associate Editor, Transportation Engineering (Elsevier) - A journal championing open and reproducible research in transportation science
• Steering Committee Member, RERITE Working Group (REproducible Research In Transportation Engineering) - Global initiative advancing open science and reproducibility in transportation research

Research Focus:

• Enabling seamless zero-emission multimodal mobility by optimal design of multimodal mobility networks
• Machine-learning-based methods for transport network design
• Deep-learning-based surrogate modeling for traffic and transport simulation
• Graph neural networks and graph representation learning
• Explainable graph neural networks
• AI foundation models on geospatial domain
• Design and optimization of multimodal transport networks
• Design of zero-emission mobility zones
• Optimal design of multimodal mobility hubs
• Optimal design of CAV corridors
• Optimal placement of EV charging stations

Department: Faculty of Civil Engineering and Geosciences, Department of Transport & Planning, Lab of Electric and Automated Transport (hEAT Lab)

Research Focus:

• Performing academic research
• Work Package lead: DiREC project, Digital roads for evolving connected and automated vehicles
• Data-driven methods for optimization in transport

Group: Supply Chain Innovations Group

Research Focus:

• Work Package lead: 5g-Blueprint project, Next Generation Connectivity For Enhanced, Safe & Efficient Transport & Logistics
• Work Package lead: CATALYST project, Connected and Automated Transport and Logistics Living Lab

Department: Faculty of Civil Engineering and Geosciences, Department of Transport & Planning, Lab of electric and automated transport (hEAT Lab)

Research Focus:

• PhD candidate: STAD project, Design and optimization of road networks for automated vehicles

Department: Department of Industrial and Systems Engineering

Research Focus: Data-driven decision support systems for transportation & logistics planners

Department of Industrial Engineering, Tehran, Iran

Entered with the ranking of 353 (top 1%) in the national university entrance exam (Concours)

Faculty of Civil Engineering and Geosciences
Top 10 Globally, QS World University Rankings

Department of Transport & Planning
Top 5 Globally, Shanghai World Subject Ranking: Transportation Science & Technology

Thesis: Design and Optimization of Road Networks for Automated Vehicles

Funding: NWO