About Me

I am Professor of Computer Science at the Department of Computer Science at University College London (UCL). I lead the Machine Intelligence Lab - we are part of the Autonomous Systems Research Group. I am also Professor of Computer Science at the Department of Computer Science and Engineering at the University of Bologna. More information about my bio, current and past appointments, etc can be found here.

What’s New

• We won the Best Paper Award for the paper “MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile Devices” at CANS 2024. You can download the paper here.

• New preprint: “Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies”. You can download the paper here.

• Our paper “Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective” has been accepted for publication in Transactions on Machine Learning Research (TMLR). The paper will appear soon, in the meantime you can download the preprint here.

• Our manifesto paper “Ecological Brain: Reframing the Study of Human Behaviour and Cognition” co-authored with the students of the first cohorts of our Leverhulme Doctoral Training Programme for the Ecological Study of the Brain has been accepted for publication in Royal Society Society Open Science. The preprint of the paper is available here.

• Our paper “Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents” has been accepted in the Proceedings of the 7th AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024). You can find the preprint of the paper here.

• Our paper “Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law” will be presented at the 2nd Internation Workshop on Generative AI and Law (GenLaw 2024), colocated with the 41st International Conference on Machine Learning (ICML 2024), as spotlight presentation. You can download the paper here.

• New preprint: “Partial Information Decomposition for Data Interpretability and Feature Selection”. You can download the paper here.

• Our paper “(Ir)rationality and Cognitive Biases in Large Language Models” is now out in Royal Society Open Science. You can download the paper here.

• Our paper “Game-theoretic Agent-based Modelling of Micro-level Conflict: Evidence from the ISIS-Kurdish War” is now out in PLOS ONE. You can download the paper here.

• New preprint: “Large Language Models are Effective Priors for Causal Graph Discovery”. You can download the paper here.

• Our paper “Creative Beam Search: LLM-as-a-Judge for Improving Response Generation has been accepted for publication in the proceedings of the 15th International Conference on Computational Creativity (ICCC 2024). You can download the paper here.

• Our paper “Trust-based Consensus in Multi-Agent Reinforcement Learning Systems” has been accepted at the 1st Reinforcement Learning Conference (RLC 2024). The camera ready version will be available soon. In the meantime, you can download the preprint here.

Previous news items can be found here.

Upcoming Events

I am currently involved in the following upcoming scientific events:

• 13th International Conference on Learning Representations (ICLR 2025)
• 24th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2025)
• 18th ACM International Conference on Web Search and Data Mining (WSDM 2025)
• 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
• 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
• 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
• 27th European Conference on Artificial Intelligence (ECAI 2024)

Please consider submitting your work to and attending these conferences.

A list of past events I have been involved in can be found here.

Research Interests

I have broad research interests spanning several traditional and emerging areas of Computer Science and beyond.

More specifically, current research areas of interest include:

• Machine Learning (in particular, decision-making problems in both single-agent and multi-agent scenarios);
• Generative Artificial Intelligence (foundational models/large language models and their applications);
• Computational models (in particular, learning models) of human/user/machine behaviour;
• Machine Intelligence for ubiquitous, mobile, and cyber-physical systems;
• AI and society.

More information about my research activities can be found here.

Last updated: 27 September 2024.