Elham Binshaflout
Biography
Elham is currently a PhD candidate at the Communications and Computing Systems Laboratory (CCSL). She received M.Sc. degree in Software Systems Engineering from the Department of Computer Science at University College London (UCL), U.K., in 2018. She recieved B.Sc. degree in Computer Science from Imam Abdulrahman University, Alkhobar, KSA, in 2012.
Research Interests
Elham's research focuses on AI-driven traffic scene understanding at urban intersections, combining advanced sensing technologies with graph representations to downstream intelligent transportation system applications, including real-time traffic monitoring, risk assessment, behavior analysis, flow prediction, and adaptive traffic control.
Education
- Master of Science (M.S.)
- Software Systems Engineering, University College London, United Kingdom, 2017
- Bachelor of Science (B.S.)
- Computer Science, Imam Abdulrahman Bin Faisal Univesity, Saudi Arabia, 2012
Selected Publications
Conference Papers:
- E. Binshaflout, C. Zaghouani, N. Guefrachi, C. Antoniadis, H. Ghazzai, A. Alsharoa, S. Najeh, and G. Setti, "AI-driven traffic scene understanding using static LiDAR sensors," in Proc. 7th IEEE Int. Conf. Artif. Intell. Circuits Syst. (AICAS), 2025, doi: https://doi.org/10.1109/AICAS64808.2025.11173129
- E. Binshaflout, C. Zaghouani, N. Guefrachi, C. Antoniadis, H. Ghazzai, A. Alsharoa, and G. Setti, "Annotated 3D point cloud dataset for traffic management in simulated urban intersections," in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), 2025, doi: https://doi.org/10.1109/ISCAS56072.2025.11044184
- E. Binshaflout, H. Ghazzai, and Y. Massoud, "Graph neural networks for traffic pattern recognition: An overview," in Proc. IEEE Int. Conf. Smart Mobility (SM), Thuwal, Saudi Arabia, 2023, doi: https://doi.org/10.1109/SM57895.2023.10112264
Journal Papers:
- E. Binshaflout, C. Zaghouani, C. Antoniadis, H. Ghazzai, A. Alsharoa, and G. Setti, "LiDAR-to-graph framework for traffic scene understanding at urban intersections," IEEE Open J. Intell. Transp. Syst., 2026, doi: https://doi.org/10.1109/OJITS.2026.3682464
- E. Binshaflout, A. Hamrouni, and H. Ghazzai, "Graph neural networks for vehicular social networks: Trends, challenges, and opportunities," IEEE Trans. Intell. Transp. Syst., 2026, doi: https://doi.org/10.1109/TITS.2025.3646207
