Elias Nassif

Elias Nassif

Doctoral Researcher

Imperial College London

Elias is a doctoral researcher at the Transport Systems and Logistics Laboratory within the Centre for Transport Studies at Imperial College London. His PhD research focuses on cooperative autonomous mobility (CAM), contributing to the design and development of a CAM-based, next-generation traffic management and control system. His areas of interest include artificial intelligence for traffic control, agent-based modeling, and complex systems engineering. Elias is co-supervised by Dr Panagiotis Angeloudis, Prof Washington Ochieng, and Prof Mohammed Quddus.

In addition to his academic work, Elias serves as a Data Scientist at Capita, where he manages multiple projects across various sectors such as critical infrastructure, public health, defense, central government, and education. His responsibilities also involve shaping and delivering Capita’s overall transport and smart cities strategies, building on large-scale deployments like TfL’s ultra-low emission zone (ULEZ). Prior to this, Elias designed the concept of operations for the UK’s largest trial of shared autonomous vehicles to date while working for the digital arm of the Borough of Greenwich.

Elias holds a Master’s degree (with distinction) in Transport from Imperial College London and UCL (joint MSc) and a Bachelor’s degree (first-class) in Civil and Environmental Engineering from the American University of Beirut.

  • Deep learning
  • Cooperative autonomous mobility
  • Agent-based modelling
  • MSc in Transport, 2019

    Imperial College London & UCL

  • BEng in Civil & Environmental Engineering, 2018

    American University of Beirut