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Graham Cormode named 2020 ACM Fellow

Prof. Graham Cormode of the Department of Computer Science has been
named among the 2020 Association for Computing Machinery (ACM) Fellows,
for contributions to computer science. The ACM is the world's leading
learned society for computer science.

Prof. Cormode is recognized for his contributions to data summarization
and privacy enabling data management and analysis. His work on data
streams and sketching has been widely implemented in many high tech
companies and organizations.

Thu 14 Jan 2021, 12:08 | Tags: People Highlight Research Faculty of Science Data Science

EPSRC funding awarded to Prof. Yulan He and Prof. Rob Procter on developing an AI solution for tackling “infodemic”

Prof. Yulan He and Prof. Rob Procter have been awarded funding from the EPSRC under the UKRI’s COVID-19 call. During the COVID-19 pandemic, national and international organisations are using social media and online platforms to communicate information about the virus to the public. However, propagation of misinformation has also become prevalent. This can strongly influence human behaviour and negatively impact public health interventions, so it is vital to detect misinformation in a timely manner. This project aims to develop machine learning algorithms for automatic collection of external evidence relating to COVID-19 and assessment of veracity of claims.

The project is in collaboration with Prof. Maria Liakata and Dr. Arkaitz Zubiaga from the Queen Mary University of London.

Wed 16 Dec 2020, 16:38 | Tags: Grants Research Human-Centred Computing Data Science

WM5G funding awarded to Prof. Hakan Ferhatosmanoglu on machine learning based spatio-temporal forecasting

Warwick's Department of Computer Science has been awarded a new research grant to develop a machine learning solution for dynamic forecasting of available capacity on road networks. The developed software is planned to be integrated within the TfWM's Regional Transport Coordination Centre for adaptive route planning and traffic management mitigation against disruptions, incidents and roadworks.

The “5G Enabled Dynamic Network Capacity Manager” project is in collaboration with commercial partners, Blacc, Immense,, and O2. The team has won the WM5G’s transport competition to leverage 5G networks for near real-time AI based modelling.

Prof. Hakan Ferhatosmanoglu is leading the development of the scalable ML solution to forecast residual capacities in a dynamic spatio-temporal graph. The solution is designed to benefit from high-granular and low-latency data feeds from 5G cellular and sensor data enabling congestion to be accurately monitored, modelled, and predicted.

Mon 02 Nov 2020, 11:20 | Tags: Grants Research Artificial Intelligence Data Science

EPSRC funding success for Prof. Yulan He

Prof. Yulan He from the department's Data Science and Human-Centred Computing research themes has been awarded a 3-year EPSRC grant to develop a new framework to study model/data uncertainty and model interpretability of AI systems. The interdisciplinary project will assist system stakeholders and developers to understand and reason about the (business, personal, social, etc.) impact of intelligent systems on the world in which they operate, and to understand how and why decisions are taken. It will run in collaboration with Dr. Ritabrata Dutta from the Statistics Department, and Dr. Nelly Bencomo and Prof. Pete Sawyer from Aston University.

Tue 28 Apr 2020, 16:53 | Tags: Grants Research Human-Centred Computing Data Science

Warwick Postgraduate Colloquium in Computer Science 2019

WPCSS poster showcase

The 17th Warwick Postgraduate Colloquium in Computer Science (WPCCS) was held on Monday 9 December, in the Mathematical Science Building for the first time. This year’s event saw 78 submissions from postgraduate research students in the Department. The submissions were split across six varied tracks, highlighting the breadth and depth of research currently being conducted by PhD students within the Department.

Student presentations were supplemented with two engaging guest talks from academics in the Department. Torsten Mütze captured everyone's attention with the mathematics behind origami, and Feng Hao enlightened the audience on the encryption challenges behind e-voting. The day concluded with a festive drinks reception, sponsored by the Department’s two Centres for Doctoral Training (CDTs), at which prizes were awarded to the best posters and presentations.

PhD student attendee Jonathan Davies said, “It was very rewarding for me to present at WPCCS this year. It gave me the opportunity to share my research with others and engage in stimulating conversation with my fellow postgraduate colleagues. The guest talks, in particular, were thought-provoking and engaging. I look forward to presenting at WPCCS in the future."

Hakan Ferhatosmanoglu, Director of Postgraduate Research and CS CDT, said, “It was a pleasure to attend WPCCS this year and to celebrate the excellent work that has been undertaken by our PhD students in the past year. It was great to see how everyone was having research discussions and exchanging ideas with each other.”


Prize Winners

  • Best Presentation - John Pocock
  • Best Poster - Tom Wood
  • Best in Computational Biology - John Pocock, Rawan Abulsayli and Hammam Alghamdi
  • Best in Theory, Foundations, and Discrete Mathematics - Alex Dixon and Thesjaswini Raghavan
  • Best in Computer Security and Networks - Jasmine Grosso and Shin Wan
  • Best in Machine Learning and Artificial Intelligence - Tom Wood, Abeer Almowallad, Gabriele Pergola, Haoyi Wang, Junyu Li and Helen McKay
  • Best in High Performance Computing and Databases - Richard Kirk and Dean Chester
  • Best in Urban Science - Jonathan Davies, Teddy Cunningham, Elisa Baioni, Ivana Tosheva and Shanaka Perera

Dr Maria Liakata receives a Turing Artificial Intelligence (AI) Fellowship

Maria Liakata

We are please to report that Dr Maria Liakata has received a Turing Artificial Intelligence (AI) Fellowship.

The Fellowships from The Alan Turing Institute, the UK’s national institute for data science and AI, aim to attract and retain exceptional researchers in artificial intelligence. Covering a broad view of AI, including applications of foundational disciplines across mathematical sciences, statistical sciences, computational sciences and engineering, Fellows collaborate across disciplines and have the opportunity to collaborate with academia, industry, government and the third sector.

Dr Liakata’s Fellowship will focus on creating time sensitive sensors from language and heterogeneous user generated content. Commenting on the research she said:

“Wide spread use of digital technology has made it possible to obtain language data (e.g., social media, SMS) as well as heterogeneous data (e.g., mobile phone use, sensors) from users over time. Such data can provide useful behavioural cues both at the level of the individual and the wider population, enabling the creation of longitudinal digital phenotypes.

“Current methods in natural language processing (NLP) are not well suited to time sensitive, sparse and missing data, collected over time or personalised models of language use. The Turing AI fellowship will allow me to establish a new area in NLP on personalised longitudinal language processing.

“I plan to develop sensors for capturing digital biomarkers from language and heterogeneous user generated content to understand the evolution of an individual over time. I want to make a significant contribution to mental health by working with clinical experts to create new tools based on the sensors, making it possible to assess and measure conditions in between clinician appointments.”

To read more on this story, please click here.

Wed 30 Oct 2019, 08:38 | Tags: People Highlight Research Faculty of Science Data Science

CS PhD Welcome Event

Group Photo

The Department organised an off-campus induction event for the new PhD students in our Centre for Doctoral Training and Research. The agenda included presentations from academics on our large research projects, alongside short tutorials on theoretical computer science and advanced machine learning. There were also informal talks about PhD life, publishing high quality work, and pursuing a research career. The event concluded with a mini data dive using air quality data from London.

The two-day welcome event was held at Heythrop Park in Oxfordshire, which offered the students and academics the opportunity to meet each other in a relaxed environment. The students also met with some of the current PhD students and asked them about their experiences. The programme was very productive with overwhelmingly positive feedback.

We welcome our new cohort of PhD students and look forward to organising similar events across the coming years.

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