Dr Ahmed M. A. Sayed

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.

Grants

Research Group

Research Staff

• Mr Qilei Li

PhD Students

• Brad Aldous
  Advancing Music Generation Via Accelerated Deep Learning
• Hesham A. Almansouri
  Simulating Free Will and Ethical Behavior in Llm-Based Auto
• Hong Sen Cao
  CSR
• Xiaolong Jia
  Resource-Efficient Fine-Tuning of Foundation Models For Distributed Settings
• Qiuying Li
  Resource-Efficient Distributed Llm Inference in Networked-AI
• Yemisi Oyeleke
  Degradation Detection of Video Streaming on Mobile and Fixed Networks Using Digital Twins
• Edwin Salcedo Aliaga
  Minds
• Leon Tabaro
  Network
• Herman Tam
  Network

News