Hamidreza Khaleghzadeh

Accepting PhD Students

PhD projects

I welcome applications for projects concerning algorithms, models and programming tools for high performance computing, Big Data Applications and Machine Learning.

Personal profile


I am a Senior Lecturer in the School of Computing at University of Portsmouth, United Kingdom. Previously, I held the position of Postdoctoral Researcher in Heterogeneous Computing Lab (HCL) at University College Dublin (UCD), and lecturer/MSc supervisor at Dublin Business School (DBS).

I obtained my PhD in Computer Science in 2019 from University College Dublin (UCD), Ireland. My PhD topic is Novel Data-Partitioning Algorithms for Performance and Energy Optimization of Data-Parallel Applications on Modern Heterogeneous HPC Platforms: the PhD focused on data-partitioning techniques addressing performance and energy optimisation of parallel applications executing on multicore CPUs, GPUs, Xeon Phis, FPGAs, etc. I completed my BSc and MSc in Computer Engineering in 2008 and 2011, respectively.

My area of expertise is in the performance and energy optimisation of Heterogeneous High-Performance Computing (HPC) platforms, Energy-Efficient Computing systems and Big Data Applications.

I have several peer-reviewed publications published in world-leading journals such as IEEE Transactions on Parallel and Distributed Systems (IF 2.687), IEEE Access (IF 3.367), Journal of Supercomputing (IF 2.6). You can find my publications on Google Scholar.

I am a member of the European Network for Sustainable Ultrascale Computing (NESUS).

Teaching Responsibilities

I am currently involved as module coordinator and lecturer in the following units:

  • M30248 Parallel Programming
  • M26491 Big Data Applications
  • M30249 Scientific Computing and Simulation
  • M22508/M24739 Final Year Undergraduate Project (A member of the admin team)

I also supervise Master’s (taught and by research) and Undergraduate students.

Research Interests

My research focuses on the models, algorithms, methods, software tools, systems and development practices that will facilitate performance and energy optimisation on state-of-the-art heterogeneous (HPC) platforms. My area of expertise is in the performance and energy optimisation of Heterogeneous High-Performance Computing (HPC) platforms, and Energy-Efficient Computing Systems. My research goals are to employ my HPC and energy-efficient computing skills to bridge a gap between HPC and other fields such as machine learning, data analytics, and artificial intelligence.

So, my research interests can be itemized as follows:

  • Parallel and High-Performance Computing
  • Energy-efficient Computing
  • Machine Learning and Big Data Applications


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Ph.D., PhD in Computer Science, University College Dublin

1 May 20167 Jan 2019

Award Date: 17 Jun 2019

External positions

Postdoctoral researcher, University College Dublin

1 Jan 201931 Jan 2021


  • QA75 Electronic computers. Computer science
  • Faculty of Technology
  • School of Computing
  • Computing
  • Parallel computing
  • Energy-efficient computing
  • Big Data applications
  • Machine Learning


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