• Slide 1
  • Slide 2
  • slide 3
  • slide 4

Welcome to The Centre for Multimodal AI

The Centre for Multimodal AI consolidates AI research in the School of Electronic Engineering and Computer Science. It builds on the expertise of world-leading academics in the school with emphasis on the development of Machine Learning algorithms, systems and applications for the Analysis and Synthesis of Multimodal Information such as Audio, Images, Videos, and Text, and on the development of AI methodologies in the domains of Games and Decision Support Systems.

The objective of the centre is to contribute to the development of AI methods and systems that will shape the future of our economy and society, striving not only for scientific excellence but also at setting and addressing research challenges for the benefit of our society. This includes challenges around developing AI methods and systems that are Trustworthy, Ethical and Responsible, but also efficient and capable of addressing some of the major challenges in the domains of Health, Education and Digital Economy.

The centre comprises more than 50 academics and 150 researchers, hosted across 6 research entities, namely the Centre for Digital Music, the Computer Vision group, the Multimedia and Vision group, the Computational Linguistics lab, the Game AI group, and the Machine Intelligence and Decision Systems group. Several members of the Centre are Fellows of The Alan Turing Institute and/or of the Digital Environment Research Institute (DERI).

Events

News

Recent Publications

  • Leverage cross-domain variations for generalizable person ReID representation learning
    Li Q Sun S Cai W Gong S
    Pattern Recognition, Elsevier vol. 171 
    01-03-2026
  • GridCLIP: One-stage object detection by grid-level CLIP representation learning
    Lin J Sun S Gong S
    Pattern Recognition, Elsevier vol. 171 
    01-03-2026
  • Computational hermeneutics: evaluating generative AI as a cultural technology
    Frontiers in Artificial Intelligence, Frontiers Media Sa vol. 9 
    26-02-2026

View more publications »

Recent Grants

  • AI-driven ECG Analysis for Emergency Diagnosis
    Anthony Mathur, Greg Slabaugh, Xu Chen and Alireza Yazdi
    £71,657 Barts and the London Charity
    02-03-2026 - 02-03-2027
  • Neural Fingerprinting Optimization
    Emmanouil Benetos
    £13,438 Sound Patrol
    15-01-2026 - 15-05-2026
  • Improved Bioacoustic Encoding
    Johan Pauwels and Emmanouil Benetos
    £25,000 Earth Species Project
    17-11-2025 - 17-05-2026

View more grants »