Personal profile
Biography
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
- M33146 Big Data and Machine Learning 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
Education/Academic qualification
Ph.D., PhD in Computer Science, University College Dublin
1 May 2016 → 7 Jan 2019
Award Date: 17 Jun 2019
External positions
Postdoctoral researcher, University College Dublin
1 Jan 2019 → 31 Jan 2021
Keywords
- QA75 Electronic computers. Computer science
- Faculty of Technology
- School of Computing
- Computing
- Parallel computing
- Energy-efficient computing
- Big Data applications
- Machine Learning
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):
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SDG 4 Quality Education
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Collaborations and top research areas from the last five years
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Machine reasoning framework for Large Language Models
Georgiev, K. I., Gegov, A., Khaleghzadeh, H., Adda, M. & Ichtev, A., 3 Sept 2025, 2025 International Conference Automatics, Robotics and Artificial Intelligence (ICARAI). Institute of Electrical and Electronics Engineers Inc., 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Acceleration of bi-objective optimization of data-parallel applications for performance and energy on heterogeneous hybrid platforms
Manumachu, R. R., Khaleghzadeh, H. & Lastovetsky, A., 17 Mar 2023, In: IEEE Access. 11, p. 27226-27245 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile102 Downloads (Pure) -
A novel algorithm for bi-objective performance-energy optimization of applications with continuous performance and linear energy profiles on heterogeneous HPC platforms
Khaleghzadeh, H., Manumachu, R. R. & Lastovetsky, A., 9 Jun 2022, Euro-Par 2021: Parallel Processing Workshops: Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021, Revised Selected Papers. Chaves, R., Heras, D. B., Ilic, A., Unat, D., Badia, R. M., Bracciali, A., Diehl, P., Dubey, A., Sangyoon, O., Scott, S. L. & Ricci, L. (eds.). Springer, p. 166-178 13 p. (Lecture Notes in Computer Science; vol. 13098).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile97 Downloads (Pure) -
Efficient exact algorithms for continuous bi-objective performance-energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms
Khaleghzadeh, H., Reddy Manumachu, R. & Lastovetsky, A., 2 Sept 2022, (Early online) In: Concurrency and Computation: Practice and Experience.Research output: Contribution to journal › Article › peer-review
Open AccessFile47 Downloads (Pure) -
Loan default prediction using spark machine learning algorithms
Muhammad Uwais, A. & Khaleghzadeh, H., 10 Mar 2022, Artificial Intelligence and Cognitive Science 2021: 29th Irish Conference on Artificial Intelligence and Cognitive Science (AICS). Pakrashi, A., Rushe, E., Hossein Zadeh Bazargani, M. & Mac Namee, B. (eds.). CEUR Workshop Proceedings, p. 118-129 12 p. 30. (CEUR Workshop Proceedings; vol. 3105).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile120 Downloads (Pure)