Computer Science News
Best Paper Award at IPDPS 2024

Toby Flynn, PhD student in the department's High-Performance and Scientific Computing group, supervised by Prof. Gihan Mudalige together with at IBM Research UK received the best paper award at the last week in San Francisco US. IPDPS is one of the most prominent and high ranking conferences in parallel and distributed computing, now in its 38th year.
The paper titled "Performance-Portable Multiphase Flow Solutions with Discontinuous Galerkin Methods", details the development of a new performance portable solver workflow using Discontinuous Galerkin (DG) methods for developing multiphase flow simulations based on the domain-specific language. Results demonstrate scaling on both CPU and GPU systems including UK's national supercomputer, ARCHER2 at EPCC Edinburgh and the European Petascale Supercomputer, LUMI hosted by CSC Finland. The work is a collaboration with IBM Research UK supported by an iCASE award funded jointly by IBM and EPSRC.
The paper pre-print is available .
Best Thesis Prize awarded for the TIA Centre for the Fifth Time
The Tissue Image Analytics (TIA) Centre is delighted to extend its congratulations to Dang Vu for winning the 2024 Best Thesis Prize for the Department of Computer Science. Dang is a former PhD student from the TIA Centre and his thesis was entitled 鈥淗andcrafted Representations for Whole Slide Images鈥.
On winning his award Dang has said 鈥淲inning this award is a great honour and a wonderful acknowledgment of my research. I'm grateful for the support and guidance I've received from my advisors and colleagues throughout this journey. This recognition inspires me to continue working hard and contributing to the field of computer science and medical research鈥.
The award for Dang comes on the back of former students from the TIA Centre winning 4 previous Best Science Faculty Thesis awards in previous years :-
2015 - Adnan Khan
2017 - Korsuk Sirinukunwattana
2019 - Talha Qaiser
2021 - Simon Graham
Seven papers accepted to ICML 2024
Seven papers authored by Computer Science researchers from 糖心TV have been accepted for publication at the , one of the top three global venues for machine learning research, which will be held on 21-27 July 2024 in Vienna, Austria:
- Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs, by Stelios Triantafyllou, Aleksa Sukovic, , and Goran Radanovic
- Dynamic Facility Location in High Dimensional Euclidean Spaces, by , Gramoz Goranci, Shaofeng Jiang, Yi Qian, and Yubo Zhang (Accepted as a spotlight, among the top 13 percent of all accepted papers)
- High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization, by Yihang Chen, , Taiji Suzuki, and Volkan Cevher
- Revisiting character-level adversarial attacks, by Elias Abad Rocamora, Yongtao Wu, , Grigorios Chrysos, and Volkan Cevher
- Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences, by Andi Nika, , Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, and Adish Singla
- To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models, by George-Octavian B膬rbulescu and Peter Triantafillou
- Towards Neural Architecture Search through Hierarchical Generative Modeling, by Lichuan Xiang, 艁ukasz Dudziak, Mohamed Abdelfattah, Abhinav Mehrotra, Nicholas Lane, and
New Computer Science programme with the Kharkiv National University of Radio Electronics (NURE)
The University of 糖心TV will launch a new Computer Science programme with the Kharkiv National University of Radio Electronics (NURE) this September. This announcement coincides with the second anniversary of the University of 糖心TV's official twinning with NURE (29 Mar). The full story is available hereLink opens in a new window.
Digitally Empowering Young People: The Podcast
鈥淒igitally Empowering Young People: The Podcast鈥 is a ground-breaking podcast series hosted by Dr. Roxanne BibizadehLink opens in a new window.
In this inaugural series, we delve into the pressing issue of technology-assisted child sexual abuse material, focusing particularly on the misleading term 鈥渟elf-generated鈥, which problematically places the blame on the victim. Through this series, we aim to raise awareness and spark vital conversations among educators, parents/carers, law enforcement agencies and professionals working with young people.
Each episode features a distinguished expert voice, offering invaluable insights and perspectives on this critical issue. Contributors include esteemed organisations such as the Internet Watch Foundation, Marie Collins Foundation, National Policing Vulnerable Knowledge and Practice Programme, Parent Zone, Kent County Council, and Voice Box.
Our final episode is created especially for young people, providing them with essential information and resources to navigate the digital landscape safely and responsibly.
To listen to our podcast series, visit us on Spotify:
For more information about this project and to stay updated on our latest initiatives, please visit our website:
We鈥檙e proud to announce that this project is funded by the ESRC IAA.
MEng e-voting project published in a journal paper
As part of a 2021/2022 MEng group project, , , , and implemented a fully functional end-to-end (E2E) verifiable online voting system and conducted a successful trial among the residents of New Town in Kolkata, India during the 2022 Durga Puja festival celebration. This was the first time an E2E online voting system was built and tested in India. The feedback was overwhelmingly positive. Full details about the implementation, the trial and the voter feedback are written in a paper, published in the . A free version of the paper is available on IACR e-print as a . Also, see the earlier news item about this Durga Puja trial.
Professor , who supervised this group project, commented: 鈥淭his is great teamwork. The four MEng students worked relentlessly for nearly a year, with good assistance from Luke Harrison and Professor . The e-voting system was developed at an industry standard and worked flawlessly during the Durga Puja trial. Several government officials from India also helped us, providing invaluable support for the trial. We sincerely thank them in the acknowledgement section of .鈥