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 game theory;
• AI and decision-making (in single-agent and multi-agent scenarios);
• Moral decision-making in AI systems;
• Graph neural networks, graph reinforcement learning and their applications to networks;
• Causal reinforcement learning;
• AI and society;
• AI safety;
• Human-AI interaction;
• Machine intelligence for mobile, IoT and cyber-physical systems;
• Machine intelligence for distributed and networked systems;
• Machine intelligence for (cyber-)security and privacy.

Last updated: 24 July 2024.