Fahmy Adan

Fahmy Adan

Doctoral Researcher

Imperial College London

Fahmy is a Ph.D. candidate at the Transport Systems and Logistics Laboratory, Centre for Transport Studies at Imperial College London. Fahmy’s research interests lie at the intersection of cooperative, connected vehicles, machine learning, and optimal control.

While undertaking his degree, Fahmy also assumed leadership roles in departmental projects. He is involved in supporting an interdisciplinary team for the [Formula Student AI competition, an initiative hosted by IMechE where students compete to develop and race an autonomous Formula One car. Likewise, Fahmy also led the group that won the Gravity Challenge competition hosted by Delloite (https://gravitychallenge.space/). The team proposed an intelligent solution to help improve remote worker safety in the Northern Territory in Australia.

Before starting his Ph.D., Fahmy completed his MEng degree in Civil Engineering from Imperial College London, graduating in 2018. After completing his degree, he worked at Atkins, a leading engineering consultancy, and as a Data Scientist in the energy industry.

Interests
  • Machine Learning
  • State Estimation and Prediction
  • Traffic Management and Control
Education
  • MEng in Civil & Environmental Engineering, 2018

    Imperial College London