Adel Elmahdy
PhD Candidate
Department of Electrical and Computer Engineering
University of Minnesota
About Me
I am a Ph.D. candidate at the University of Minnesota. My research interests span a broad range of topics focusing largely on information theory and coding, and its applications in machine learning such as active learning for ranking from noisy pairwise comparisons; coded data shuffling for distributed machine learning; and matrix completion with graph side information for recommender systems. Recently, I embarked on new research directions in privacy-preserving natural language processing at Microsoft Research (MSR), and graph neural networks at Amplitude Analytics. In the past, I conducted research in the field of wireless communication theory.