Dr. Ahmed M. A. Sayed (aka. Ahmed M. Abdelmoniem) is an Assistant Professor at Queen Mary University of London, UK and Assiut University, Egypt. He has a PhD in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST). He held the positions of Senior Researcher at Future Networks Lab, Huawei Research, Hong Kong and Research Scientist at SANDS Lab, KAUST, Saudi Arabia. His early research involved optimizing networked systems to improve the performance of applications in both wireless and data-center networks and proposing efficient and practical systems for distributed machine learning. His current research focus involves designing and prototyping Networked and Distributed Systems of the Future. In particular, He is interested in developing methods and techniques to enhance the performance of networked and distributed systems. He is currently focusing on developing scalable and efficient systems supporting distributed machine Learning (esp., distributed privacy-preserving ML aka. Federated Learning).
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