Research
Research Objectives
- To engage in inter-/multi-disciplinary research to improve quality of life, health, national security, education and social cohesion;
- To develop new computing science techniques and seek methods of application and commercialisation;
- To provide leading advice and knowledge transfer to government and industry, and promote jobs and growth through technical innovation.
Focus, Impact, Strengths
- Close affinity with departments & inter-disciplinary research centres;
- Involvement in innovation, knowledge transfer, start-ups;
- We offer various opportunities for PhD research studies. The Centre for Doctoral Training & Research in Computer Science offers scholarships. Our PhD students enjoy close collaborations with the Alan Turing Institute.
AI & ML Systems
Scalable and efficient ML; Generative AI and natural language processing; Graph and spatio-temporal learning; Ethical and trustworthy AI; Vision, embodied and pervasive intelligence; social and health informatics
Biomedical Data Analytics
Multimodal AI for biomedical applications; Computational pathology; Computational neuroscience; Systems and synthetic biology
Foundations of AI & ML
Learning Efficiency & Complexity; Robustness, Fairness, and Privacy; Multiagent Systems, RL & Game Theory; Generative AI & Alignment, Causality & Causal Inference; Quantum Computing and Learning Theory; Stochastic Processes & Diffusions; Physics-informed ML
Systems and Security
High-performance, secure, dependable and scalable systems; cryptographic protocols; AI and cybersecurity; large-scale scientific codes on massively parallel and high-performance architectures; parallel and distributed computing techniques
Theory and Foundations
Topics of theoretical Computer Science; Design and analysis of algorithms; Complexity theory; Logic; Automation; Formal verification