Dr Hamed Hamzeh

Dr Hamed Hamzeh


Dr. Hamed Hamzeh is a Lecturer in Data Science and a Cloud & AI Systems Researcher at the University of Westminster. His research bridges distributed systems and applied machine learning, with a primary focus on intelligent resource allocation, Kubernetes orchestration, and energy-aware cloud infrastructure. He holds a PhD in Cloud Computing from Bournemouth University and previously served as a Postdoctoral Researcher at the Centre for Parallel Computing (CPC) at the University of Westminster. 


Dr. Hamed Hamzeh’s research explores the intersection of distributed systems, cloud computing, and applied artificial intelligence, with an emphasis on autonomous, resource-efficient infrastructure management.

  • Intelligent Cloud & Edge Orchestration: Designing autonomous scheduling and autoscaling mechanisms for heterogeneous distributed systems and microservices.
  • Applied AI for Systems Operations: Leveraging multi-agent reinforcement learning (RL) and graph neural networks (GNNs) for dynamic resource allocation and bin-packing.
  • Sustainable & Energy-Aware Computing: Developing digital twins and thermal optimization models to reduce carbon emissions and improve power usage effectiveness in data centres.
  • Advanced Kubernetes Orchestration: Prototyping custom controllers, operators, and scheduler extenders to improve infrastructure fairness, efficiency, and reliability.


  • Centre for Parallel Computing

In brief

Research areas

Cloud Computing, Machine Learning and Computer Networks

Skills / expertise

AWS, Kubernetes, Python, Java, Docker and Optimization

Supervision interests

Cloud Computing , Artificial Intelligence, Machine learning, Software Engineering and Computer networks