Themes

The research activities of our lab focusses on the theoretical foundations of machine intelligence and its applications to a variety of real-world problems.

Current areas of interest include:

• Theory and applications of machine learning;
• Generative AI (foundational models/large language models and their applications);
• AI and decision-making (in single-agent and multi-agent scenarios);
• AI safety;
• AI and cyber-security;
• AI and society;
• Human-AI interaction;
• Machine Learning for mobile, IoT and cyber-physical systems;
• Machine Learning for distributed and networked systems.

Last updated: 15 February 2025.