Faculty
Hans Vandierendonck is Professor of high-performance and data-intensive computing at Queen’s University Belfast. His research interests are in compilers, runtime systems and architectures for parallel systems with special attention to the programmability of such systems. Hans also has a vested interest in computer architecture, and particularly in cache architecture, prediction and performance evaluation. More information can be found on his profile page.
Collaborators
Bronis de Supinski is a Part-time Professor at Queen’s University Belfast. He is an expert in large-scale computing with significant experience in the provisioning and deployment of such systems.
Thai Son Mai is a Senior Lecturer at Queen’s University Belfast. He specialises in data mining, artificial intelligence and time series analysis.
Yang Hua is a Lecturer at Queen’s University Belfast. His research interests are in fundamental research topics and real-world applications in computer vision and machine learning.
Amir Sabbagh Molahosseini is a Lecturer at Queen’s University Belfast. His research interests are in computer arithmetic and transprecise computing, with applications to machine learning and cryptography.
Researchers
Brian Dandurand
[2023 – ongoing]
MSCA Fellow
Syed Tauhidi
[2024 – ongoing]
Babar Ali
[2026 – ongoing]
PhDs
- Jason McKillen [2021 – ongoing], co-supervised with dr Teresa Degenhardt and dr Mike Bourne through the Leverhulme Interdisciplinary Network on Algorithmic Solutions
- Adeline McKie [2022 – ongoing], co-supervised with dr Ian Overton and dr Mark Wappett, with funding from EPSRC and the Almac Group
- Marco d’Antonio [2023 – ongoing], https://orcid.org/0009-0002-7399-7705, relaxed semantics for graph analytics, co-supervised with dr Thai Son Mai, funded through the MSCA RELAX doctoral network.
- Leo Naylor [2023 – ongoing], high-performance graph analytics with GPU, co-supervised with dr Thai Son Mai
- Zichi Zhang [2023 – ongoing], dengue fever detection, co-supervised with dr Thai Son Mai. Funded through the China Scholarship Council.
- Viet Hung Tran [2023 – ongoing], co-supervised with dr Thai Son Mai, funded through the MSCA RELAX doctoral network
- Jack Millar [2024 – ongoing], efficient post-quantum cryptography using software-defined number formats, co-supervised with dr Amir Sabbagh Molahosseini, funded by EPSRC Doctoral Training Partnership for Quantum Technologies.
- Thanh Do [2024 – ongoing], outbreak detection for climate-sensitive diseases, co-supervised with dr Thai Son Mai.
- Yuming Ding [2024 – ongoing], efficient inference using transprecise computing, co-supervised with dr Yang Hua, supported by the Department for the Economy Northern Ireland through the US-Ireland SWEET project (USI-226).
- David Seaman [2025 – ongoing], speculative execution in large-scale simulation, funded by EPSRC Doctoral Training Partnership
- Charlie Keaney [2025 – ongoing], static numerical analysis of floating-point arithmetic, funded by EPSRC Doctoral Training Partnership
Visiting Scholars
- dr Mohsen Koohi Esfahani [2022 – ongoing], https://orcid.org/0000-0002-7465-8003
- dr Saeid Ghafouri [2025 – ongoing]
- Prof Dimitrios S. Nikolopoulos [2019 – ongoing]
Alumni
Showing university, project name, year of viva, subsequent position, and profile URL
- dr Syed Ibtisam Tauhidi, QUB, High-Performance Subgraph Isomorphism, co-supervised with dr Thai Son Mai and dr Arindam Karmakar (Tezpur University), through the Tezpur Programme.
- dr Katherine Pitallis, QUB, 2026, co-supervised with prof Giancarlo Frosio, through the Leverhulme Interdisciplinary Network on Algorithmic Solutions, The weaponisation of algorithmic bots in the music industry – market manipulation and policy recommendations
- dr Michael Davis, QUB (funded by WANdisco), 2024, An Architecture for Scaling Performance and Availability in Global Consensus, QUB.
- dr Qasim Abbas, QUB, 2026, A heuristic approach to optimise accuracy and performance in the maximum weighted clique, co-supervised with dr Ian Overton and dr Matteo Manica (IBM Research) with funding through the Citi-GENs Doctoral Network, Lecturer, University of Westminster
- dr Zohreh Moradinia, QUB, 2025, Machine learning-driven strategies for managing precision and efficiency in multiphysics simulations, Imperial College London
- dr Dimitrios Christofidellis, QUB, 2022, IBM Research Zurich
- dr Mohsen Koohi Esfahani, QUB, On designing structure-aware high-performance graph algorithms, LaganLighter, 2022, Eurcom, https://orcid.org/0000-0002-7465-8003
- dr Konstantin Bakanov, QUB, a domain-specific language for technical market indicators, 2020, TSYS Payment Solutions
- dr Jiawen Sun, QUB, The GraphGrind Framework: Fast Graph Analytics on Large Shared-Memory Systems, GraphGrind, 2018, The University of Edinburgh, https://www.linkedin.com/in/jiawen-sun-33b368103/
- dr Charalampos Chalios, QUB, significance-driven computation, 2017, Barcelona Supercomputing Centre, https://www.linkedin.com/in/bchalios/
- dr Ahmad Hassan, QUB, Software Management of Hybrid Main Memory Systems, 2016, SAP UK Ltd
- dr Sean Rul, Ghent University, profile-driven discovery of parallelism for multi-core processors, 2010, McKinsey and Company, https://www.linkedin.com/in/seanrul/
Past Researchers
Showing the first subsequent position
- dr Saeid Ghafouri, https://www.linkedin.com/in/saeid-ghafouri/, 2025
- dr Hamid Noori, Durham University, 2025
- dr Amir Sabbagh Molahosseini, MSCA Fellow, Queen’s University Belfast, 2025
- dr Romain Garnier, Engineer, Queen’s University Belfast, 2023
- dr Junkyu Lee, Tenure-Track Research Fellow, University of Essex, 2023
- dr Lev Mukhanov, Lecturer, Queen Mary University London, 2020
- dr Sharat Chandra Varma Bogaraju, Lecturer, Ulster University, 2019
- dr Baharak Ahmaderaghi, Research Fellow, Queen’s University Belfast, Centre for Cancer Research and Cell Biology, 2019
- dr Giorgis Georgakoudis, Research Scientist, Lawrence Livermore National Labs, 2018
- dr Bin Wang, Research Fellow, Ulster University, 2018
- Ms Mahwish Arif, Research Assistant, Cambridge University, 2018