Magda El Zarki

Magda El Zarki is a Professor in the Department of Computer Science at the University of California, Irvine (UCI). She specializes in Telecommunications and Networking, with research focusing on cloud gaming, exergaming (e.g., MineBike), and serious games for health applications. Her work addresses challenges like optimizing 3D immersive systems, reducing latency, and improving quality of service in cloud-based environments. She teaches courses such as CS 133 (Networking Lab), CS 232P (Computer and Communication Networks), and ICS 167 (Multiplayer Online Systems). Her lab projects include developing frameworks for adaptive streaming and exergaming platforms to promote physical activity in children. Collaboration with students and TAs is facilitated via Piazza, emphasizing active participation. Her CV was last updated in 2020, though the website content dates to 2007.

Education & Affiliations:

• PhD in Computer Science (assumed based on role)
• Department of Computer Science, UCI
• Associated with the Networking and Telecommunications research groups

Research Interests:

Prof. El Zarki’s research spans:

• Cloud gaming infrastructure and latency optimization
• Exergaming platforms for health interventions
• Collaborative multimedia systems and projector networks
• Network-aware adaptive frameworks for immersive applications

Her recent work evaluates MineBike’s efficacy in promoting physical activity and explores flexible cloud gaming systems to balance bandwidth and visual quality.

Teaching & Advising:

She instructs courses on networking fundamentals, lab practices, and multiplayer systems. While no explicit student advisees are listed, her courses emphasize hands-on projects and lab quizzes. She collaborates with TAs (e.g., Fangqi Liu, Hang Nguyen) and promotes active classroom participation through Piazza.

Labs & Infrastructure:

Her research utilizes labs like ICS 183/189 for networking experiments and software installations. Projects involve tools like Cisco routers, microcontrollers, and sensor networks for civil infrastructure monitoring.