Mohamed Seif

I am a researcher in the Department of Electrical and Computer Engineering at Princeton University. I received my Ph.D. in Electrical and Computer Engineering from the University of Arizona.

My research lies at the intersection of information theory, machine learning, wireless communications, and signal processing. I develop mathematically grounded methods for privacy-preserving and communication-efficient AI systems, with interests spanning distributed learning, graph and network data analysis, edge intelligence, and trustworthy generative AI.

More recently, I have been interested in statistical learning problems for large language models, with a focus on designing fine-grained watermarking algorithms that enable edit detection and strengthen content integrity. I also work closely with industry collaborators to connect theory with practice, including projects on private wireless network analytics, Wi-Fi sensing privacy, and AI-native communication systems.