Rawia El Rashidy

Rawia El Rashidy is a Senior Research Fellow at the University of Huddersfield's School of Computing and Engineering, affiliated with the Institute of Railway Research. Her work focuses on railway safety, transport network resilience, and big data applications using graph databases. She contributes to UN Sustainable Development Goals via risk management research.

• PhD in Transport Network Resilience from University of Leeds
• MSc in Energy and Environment (Distinction) from University of Leeds
• BSc (Hons) in Civil Engineering

Her research spans graph-based safety modeling, big data analytics for railway risk, and developing composite resilience indices. Key projects include SPAD risk frameworks, red-aspect approach detection systems, and machine learning for multilingual accident report analysis.

Research output trends show concentrated activity in 2018-2019 with 7 articles, emphasizing graph databases (100% topic coverage) and big data (70%).

• h-index of 7
• 190 total citations

Active PhD supervisor with one supervised work recorded. Presented at ESREL 2019 and other conferences between 2016-2022, including co-developing the RAATS toolkit and Digital BowTies safety framework.