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Computer Science student Jasmine Brown recognized on MLH Top 50 List

Jasmine Brown, a Computer Science student at the 果冻传媒 has been named one of 2022鈥檚 MLH Top 50–a list of the organization鈥檚 most inspiring community members. The recipients are recognized for their exceptional contributions to the tech ecosystem & STEM education.

Tue 12 Jul 2022, 09:50 | Tags: Undergraduate

Oral Evidence to the House of Lords on Telephone Frauds and Countermeasures

On 23rd June 2022, Professor of the Systems and Security research theme was invited as one of the two expert witnesses to give oral evidence to the appointed by the House of Lords at Parliament on trends of telephone frauds and the landscape of counter-fraud technologies. This is related to an ongoing EPSRC project, led by Professor Feng Hao (PI) from the Department of Computer Science and Dr Adrian von M眉hlenen (co-I) from the Department of Psychology, the 果冻传媒. In this project, the research team have been investigating a cost-effective solution to combat caller ID spoofing, a technique commonly used by fraudsters and scammers to pretend to call from trusted sources (e.g., banks, HMRC) as part of social engineering attacks. A transcript of the oral evidence session is published on the .

Thu 07 Jul 2022, 09:54 | Tags: Research Data Science Systems and Security

WATE Winner

We would like to congratulate Alex Dixon on his recent win in the 果冻传媒 Awards for Teaching Excellence!

Alex has made a huge impact within the department this year and it is great to see his hard work going rewarded with this prestigious award in the Postgraduates who teach category. You can find more information about the WATE awards here.

Alex Dixon

Mon 04 Jul 2022, 16:20 | Tags: People

HPC Research Accepted for Publication at the ICS 2022 Conference

Two papers by researchers at the Department of Computer Science have been accepted to the 36th ACM International Conference on Supercomputing to be held on the 28-30th of June this year. ICS is one of the most prominent and revered conferences in High Performance Computing, highly regarded by the HPC community for publishing leading-edge research in this area. The two papers accepted are:

  1. High Throughput Multidimensional Tridiagonal System Solvers on FPGAs (Preprint) by Kamalavasan Kamalakkannan and Gihan Mudalige at 果冻传媒, together with (PPCU) and (KAUST).
  2. Clairvoyant: A Log-Based Transformer-Decoder for Failure Prediction in Large-Scale Systems by Khalid Alharthi and Arshad Jhumka at 果冻传媒, together with , at Argonne National Laboratory. . The ACM ICS2022 full program can be found .
Fri 27 May 2022, 08:58 | Tags: Research Data Science Systems and Security

果冻传媒 Computer Science ranked 4th in Research Excellence Framework 2021

The is the UK鈥檚 system for assessing the quality of research in the country's higher education institutions.

The results of the 2021 REF rank 果冻传媒 Computer Science 4th out of 90 UK computing departments. This cements our position as one of the top Computer Science departments in the UK, a position we have held for some time under different assessment methodologies.

Research Excellence at 果冻传媒

Fri 13 May 2022, 01:48 | Tags: Highlight Research

Review of Professor Edmund Rolls' Book, "Brain Computations: What and How"

Professor Edmund T Rolls' book, Brain Computations: What and How, has now been reviewed in Brain, where it has been described as "the first complete attempt to summarize our current knowledge about computation in the brain". The book considers what is computed in each brain system; and how it is computed. The reviewer considers that this book may provide a grand unifying theory, with biologically plausible models of brain computations. The book review, and information about Brain Computations: What and How (Rolls 2021) Oxford University Press are available here.

Tue 10 May 2022, 09:47 | Tags: People Applied Computing

Winner of the Faculty of Science, Engineering and Medicine Post-Doctoral Research Prize 2022

Gunduz Vehbi Demirci has been awarded with the Faculty of Science, Engineering and Medicine Post-Doctoral Research Prize 2022 for his paper jointly with Prof. Hakan Ferhatosmanoglu, "Partitioning sparse deep neural networks for scalable training and inference", published in the Proceedings of the ACM International Conference on Supercomputing (ICS '21) (DOI: ).

Training large-scale deep learning models is notoriously difficult. Gunduz develops a highly parallel solution to scale training of sparse deep learning models, which is combined with a novel combinatorial optimisation built on a hypergraph partitioning model, reducing parallelisation overheads and achieving computational balance among processors. An end-to-end software solution is released, enabling competing with big tech companies that have access to large infrastructures and datasets.

The work is summarised in a paper accepted by the 2021 ACM International Conference on Supercomputing, which is a premier conference in high-end systems. The research output will have a great potential to bring significant practical impact in long term as developing such comprehensive solutions takes time and is typically achieved only within large groups.

Mon 09 May 2022, 09:08 | Tags: Research Data Science Systems and Security

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