At UCL I am Deputy Director of the Leverhulme Doctoral Training Programme for the Ecological Study of the Brain and the Director of the UCL Master in Geospatial Analysis.
Our book Intelligent Notification Systems published by Morgan&Claypool is out!
Our paper Partner Selection for the Emergence of Cooperation in Multi-Agent Systems using Reinforcement Learning has been accepted for presentation in the Technical Program of AAAI 2020.
The applications for the Leverhulme Doctoral Training Programme for the Ecological Study of the Brain are now open. The Doctoral Training Programme covers stipend and tuition fees for UK/EU Ph.D. students. If you are interested in working on a project in my lab, please do not hesitate to contact me. The closing date is 7 February 2020. More in general, I am happy to discuss Ph.D. opportunities with prospective candidates.
I have funding for a 2-year Postdoctoral Research Fellow position in my lab. The formal advert will be out in the first months of 2020, but please do not hesitate to contact me in case you are interested in the meanwhile.
We are currently organising the third edition of MobiUK at UCL. Submit your abstract by 1 April!
I am currently involved in the following upcoming scientific events:
- 36th International Conference on Uncertainty in Artificial Intelligence (UAI 2020) [Program Committee Member]
- 25th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD 2020) [Program Committee Member]
- 14th International AAAI Conference on Web and Social Media (AAAI ICWSM 2020) [Senior Program Committee Member]
- 25th ACM International Conference on Intelligent User Interfaces (ACM IUI 2020) [Program Committee Member]
- 17th ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2020) [Program Committee Member]
- 17th IEEE International Conference on Sensing, Communication and Networking (IEEE SECON 2020) [Program Committee Member]
- 5th ACM/IEEE International Conference on Internet of Things Design and Implementation (ACM/IEEE IoTDI 2020) [Program Committee Member]
Please consider submitting your work to and attending these conferences and workshops!
Current areas of interest include:
- Artificial Intelligence/Machine Learning for ubiquitous and autonomous systems, with a focus on the algorithmic and theoretical aspects;
- Autonomous and intelligent systems with human(s)-in-the-loop;
- Reinforcement Learning and multi-agent systems;
- Computational social science, with a focus on applications of machine learning to behavioural data (such as mobile data, sensor and Internet of Things data, social media and other user-generated content, etc.) and computational and mathematical models of human behaviour and social systems (and their applications);
Last updated: 16 January 2020.