Eman Ramadan is a lecturer and research associate in the Department of Computer Science and Engineering at the University of Minnesota. Her research interests span 5G/NextG mobile networking, connected and autonomous vehicles, and applied machine learning. Her work focuses on improving the performance, reliability, and resilience of wireless and distributed networks, with particular emphasis on emerging applications requiring high bandwidth and low latency.
Her research explores wireless communication for connected and autonomous vehicles, remote and cooperative driving, large-scale network measurement, and data-driven network optimization. She is a co-principal investigator of the NSF-funded xGTracker project, which is developing a platform for large-scale mobile network performance measurement, and serves as senior personnel on the NSF-funded DRIVE-SAFE project, which is investigating reliable and low-latency communication for remote and cooperative autonomous driving using 5G/NextG technologies.
Ramadan received her Ph.D. in computer science from the University of Minnesota in 2022, following bachelor's and master's degrees in Egypt. Her research has been published in leading international conferences, including ACM SIGCOMM, ACM IMC, ACM CoNEXT, PAM, and IEEE INFOCOM, and has received multiple best paper awards. Beyond her research, Ramadan is actively involved in teaching, mentoring undergraduate and graduate students, and advancing research and educational programs at the University of Minnesota. She is also a recipient of the University of Minnesota's 2025 Provost's Unit Service Award.