Dr Ahmed M. A. Sayed, PhD, MPhil, BSc, FHEA
Senior Lecturer (Associate Professor), Director of MSc Data Science Programme, DERI Fellow
Email: ahmed.sayed@qmul.ac.uk
Room Number: ENG 153a, Engineering Building
Website: http://www.eecs.qmul.ac.uk/~ahmed/
Twitter: @ahmedcs982
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Dr. Ahmed M. A. Sayed (aka. Ahmed M. Abdelmoniem) is a Senior Lecturer (Research & Teaching), the equivalent of Associate Professor, at the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK. He is also the Director of the MSc Big Data Science Programme. He leads the SAYED Systems Group and works on various topics related to Distributed Systems, Systems for ML & ML for Systems, Federated Learning, Edge/Cloud Computing, Congestion Control, and Software-Defined Networking (SDN).
In 2017, he earned a Ph.D. degree in Computer Science and Engineering under the supervision of Brahim Bensaou from the Hong Kong University of Science and Technology (HKUST) ([Ph.D. Thesis PDF]), where he worked to enhance the performance of TCP applications in Data Center Networks. He completed with Distinction both the B.Sc. and M.Sc. degrees (Coursework & Research) in Computer Science from Assiut University (AUN), Egypt in 2007 and 2012, respectively.
Before joining QMUL, he was a research scientist at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, working with Marco Canini in the SANDS Lab on problems related to distributed ML systems. Before that, he worked as a Senior Researcher at Huawei's Future Network Research Lab on the design and architecture of Application-Driven Networking (ADN). He also previously held the position of Assistant Professor at Assiut University, Egypt.
His research spans inter-related disciplines of computer science and engineering with a focus on system design and optimization for machine learning systems (training and inference efficiency, distributed ML, federated learning), distributed systems (architecture design, performance analysis, resource allocation, algorithmic optimization), computer networks (traffic engineering, congestion control, performance optimization, software-defined networking), and wireless networks (routing in mobile ad-hoc and wireless sensor networks).
He is always looking for bright and talented students and researchers who are passionate about researching to study and solve real-world problems. If you find the above topics intriguing, please get in touch by dropping him an email or his personal webpage for any announced opportunities