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.

Our research philosophy is to conduct rigorous, theoretically-grounded work, with a strong focus on the scientific method and robust evaluation.

Current areas of interest include:

• Theory and applications of machine learning;
• Multi-agent systems based on foundational models/large language models and/or reinforcement learning;
• AI-based decision-making (in single-agent and multi-agent scenarios);
• AI safety and security;
• AI and society;
• Machine learning for mobile, IoT, networked, and cyber-physical systems.

Last updated: 13 February 2026.