Eman Ramadan

Eman Ramadan is a Lecturer and Research Associate at the University of Minnesota's Computer Science and Engineering Department, collaborating with Professor Zhi-Li Zhang at the UMN Networking Lab. She co-leads the Computer Networking, Mobile, and AI Research Lab, focusing on 5G/NextG mobile networking, autonomous vehicles, content distribution networks, resilient routing, and software-defined networking.

• PhD in Computer Science (2022), MSc in Computer Science (2014), MSc in Computer Engineering (2012), BSc in Computer Engineering (2008) – all from University of Minnesota or Alexandria University

Her research explores 5G network performance, particularly mmWave throughput prediction, carrier aggregation implications, and roaming challenges in the European Union. Current projects include developing AI/ML algorithms for intelligent network infrastructures and enhancing SDN resilience through the Taproot framework.

Recent publications (2024-2022) demonstrate significant advancements in 5G network analysis, caching optimization, and network-application integration. She has secured NSF funding as Co-PI for xGTracker platform (2023-2025), and holds a provisional patent for 5G throughput prediction.

• Recipient of CSE Postdoctoral Award for DEI Leadership (2023)
• Best paper awards at SIGCOMM NetAIM (2018) and APNet (2017)
• Travel grants including ACM SRC (2018), GENI (2014), and CRA-W (2014)

She actively contributes to diversity initiatives, serving as chair of CS-IDEA committee and member of CSE Diversity & Inclusivity Alliance. Her work bridges theoretical research with practical implementation across multiple domains.