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).
Recent Publications
- OmniBench: Towards The Future of Universal Omni-Language Models
Li Y Zhang G Ma Y Yuan R Zhu K Guo H Liang Y Liu J et al.
The Thirty-Ninth Annual Conference on Neural Information Processing Systems. (NeurIPS 2025) 2 Dec 2025 - 7 Dec 2025.
02-12-2025 - MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
Ma Z Ma Y Zhu Y Yang C Chao Y-W Xu R Chen W Chen Y et al.
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) 2 Dec 2025 - 7 Dec 2025.
02-12-2025 - Velocity2DMs: A contextual modeling approach to dynamics marking prediction in piano performance
Kim H Benetos E Serra X
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers
17-11-2025
Recent Grants
- Improved Bioacoustic Encoding
Johan Pauwels and Emmanouil Benetos
£25,000 Earth Species Project
17-11-2025 - 17-05-2026 - IGGI CDT Internship with Lord of Games 2025
Diego Perez-Liebana
£4,400 Lord of the Games, Corp.
03-11-2025 - 02-01-2026 - Uncertainty Aware Data Attribution Of Vision-Language Models
Changjae Oh, Shaogang Gong and Ziquan Liu
£326,000 Huawei Technologies Germany
15-10-2025 - 14-10-2027







