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Dr Hamidreza Khaleghzadeh

Lecturer

Hamidreza Khaleghzadeh
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Biography

I am a Lecturer in the School of Computing at University of Portsmouth, United Kingdom. Previously, I held the positions of Postdoctoral Researcher in the School of Computer Science, Heterogeneous Computing Lab (HCL) at University College Dublin (UCD), and lecturer/MSc supervisor in 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, and Energy-Efficient Computing systems.  

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

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

 

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