Dr Ahmed M. A. Sayed

Ahmed M. A. Sayed
Ph.D. of Comp Sci & Eng, DERI Fellow, FEHA

Senior Lecturer (Associate Professor)
Director of MSc Data Science Programme

School of Electronic Engineering and Computer Science
Queen Mary University of London
www.qmul.ac.uk/eecs/people/profiles/sayedahmed.html
Centre for Networks, Communications and Systems
ORCID Google Scholar LinkedIn

Research

Federated Learning, Computer Networks, Distributed Systems, Machine Learning, Performance Evaluation and Optimisation

Interests

I lead SAYED Systems Group (sayed-sys-lab.github.io) in which we build Scalable, Advanced
Yet Efficient Distributed Systems of the Future. Our 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). We work closely with the Networks
research group (networks.eecs.qmul.ac.uk/) at QMUL and various research groups in the UK
and worldwide. Our main research project is KUber (kuber.org.uk/) funded by UKRI-EPSRC.