Scholar
Mohamed Seif
Google Scholar ID: SgoDfyQAAAAJ
Princeton University
Citations & Impact
Citations
489
H-index
7
i10-index
5
Publications
20
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- (April 2024): New Journal Paper and pre-print: ‘‘Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning’’, IEEE Network; ‘‘Over-the-Air Collaborative Inference with Feature Differential Privacy’’, pre-print.
- (March 2024): Invited Talk and New Pre-print: ‘‘Fundamental Limits of Data Privacy for Information Networks’’, San José, CA; ‘‘Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition’’, pre-print.
- (February 2024): New Conference Paper and Pre-print: ‘‘Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks’’, IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN); ‘‘Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks’’, pre-print; ‘‘Private Online Community Detection for Censored Block Models’’, pre-print.
- (January 2024): New Journal Paper: ‘‘Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming’’, IEEE Journal of Selected Areas of Information Theory (JSAIT), accepted with minor revision.
- (November 2023): New filed US Patent on Privacy-preserving AI for Next Generation Networks.
- (October 2023): Presentation on ‘Private Community Detection over Graphs’ at INFORMS Annual Meeting.
- (August 2023): New Conference Paper: ‘‘On Differential Privacy for Wireless Federated Learning with Non-coherent Wireless Aggregation’’, IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.
- (July 2023): New Conference and Journal Papers: ‘‘Answering Count Queries for Genomic Data under Perfect Privacy’’, IEEE Transactions on Information Forensics and Security, 2023; ‘‘Random Orthogonalization for Private Wireless Federated Learning’’, Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, California, October 2023.
- (April 2023): New Conference Paper: ‘‘Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy’’, International Symposium on Information Theory (ISIT), July 2023.
- (January 2023): New Conference Paper: ‘‘Differentially Private Community Detection over Stochastic Block Models with Graph Sketching’’, Conference on Information Sciences and Systems (CISS), March 2023.
Research Experience
- Currently a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering, Princeton University, hosted by Andrea Goldsmith and Vincent Poor.
Education
- Ph.D. in Electrical and Computer Engineering from the University of Arizona, completed in 2022.
Background
- Research interests include privacy-preserving technologies, wireless communications, distributed computing and sensing, machine learning systems, information-theoretic security, and graph analytics. Currently a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering, Princeton University.
