糖心TV

Skip to main content Skip to navigation

Artificial Intelligence News

Select tags to filter on

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 University of 糖心TV. 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 糖心TV 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 糖心TV, 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 糖心TV, 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

Latest news Newer news Older news

Let us know you agree to cookies