معرفی
Emna Zedini is an Assistant Professor of Computer Science in the College of Innovation and Technology at the University of Michigan–Flint, where she leads research at the intersection of optical wireless communications and autonomous driving technologies.
Education
- Ph.D. in Electrical Engineering (2016) – King Abdullah University of Science and Technology (KAUST), Saudi Arabia
- M.Sc. in Telecommunications (2011) – École Supérieure des Communications de Tunis (SUP’COM), Tunisia
- Engineering Diploma (2010) – SUP’COM, Tunisia
Research Focus
Her work centers on channel modeling and performance analysis of optical wireless communication systems and the application of artificial intelligence and reinforcement learning to autonomous driving. She explores free-space optics (FSO), intelligent reflecting surfaces (IRS), visible-light communication (VLC), and underwater optical links, while also developing decision-making algorithms for safe intersection navigation.
Publications & Trends
Since 2014 she has published more than thirty IEEE journal and conference papers. Recent contributions (2024–2025) emphasize hybrid terrestrial/non-terrestrial FSO links, phase-error mitigation in optical IRS, and deep-learning-based precoding for multi-user VLC systems, demonstrating a clear trajectory toward integrating optics with AI-enabled networking.
Scientific Awards
- MWIN Faculty Innovation Fellowship (2025) – Michigan Wolverine Innovation Network
Grants & Funding
Principal Investigator on the Integrated AI Module for Safe Navigation project funded by RCA, $20,000, 01 Sep 2025 – 31 Aug 2026.
Laboratory & Teams
She maintains an active research group within the Computer Science, Engineering, and Physics Department at the University of Michigan–Flint, focusing on experimental validation of optical links and real-world deployment of AI algorithms in connected-vehicle testbeds.
