Dr Hamed Hamzeh

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Lecturer

Computer Science and Engineering

(United Kingdom) +44 20 7911 5000 ext 67509
115 New Cavendish Street
London
GB
W1W 6UW
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About me

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. 

Teaching

Dr. Hamed Hamzeh is a Fellow of the Higher Education Academy (FHEA) and holds a Postgraduate Certificate in Higher Education (PGCHE). His teaching philosophy combines foundational distributed-systems theory with practical cloud engineering workflows and industry-relevant tooling. He is currently leading the following modules. 

Module Leader:

  • 7DATA002W Big Data and Cloud Computing
  • 6DATA006W Big Data Analytics
  • 5COSC022W Client-Server Architectures

Tutorial Leader:

  •  5COSC019W. Object-Oriented Programming
  • 5COSC020W. Database Systems
  • 6COSC020W. Applied AI

Final Project Supervisor:

  • 6COSC023W. Computer Science Final Project
  • 7SENG013W.  Software Development Project

Research

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.

Publications

For details of all my research outputs, visit my WestminsterResearch profile.