About Me

I am a Reader (Full Professor starting from 1 October 2019) in Data Science at the Department of Geography at University College London, where I lead the Intelligent Social Systems Lab.

I am also a Turing Fellow at the Alan Turing Institute, the UK National Institute for Data Science and Artificial Intelligence. I am the Turing University Lead for UCL.

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.

[More about me]

What’s New

[Older News]

Upcoming Events

I am Program co-Chair for ACM UbiComp 2019, which will take place in London in September 2019.

I am also currently involved in the following upcoming scientific events:

Please consider submitting your work to and attending these conferences and workshops!

[Past events]

Research Interests

The focus of the work of my lab is on the design of next-generation intelligent systems (in particular, mobile, ubiquitous and sensing systems) based on computational models of human behaviour and social dynamics. More recently, I have been interested in designing autonomous artificial systems, possibly with humans in the loop. I am interested in both theoretical and systems-oriented aspects of these research areas.

More specifically, current areas of interest include:

  • Artificial Intelligence/Machine Learning for mobile and ubiquitous systems, autonomous systems, edge computing and Internet of Things, with a focus on the algorithmic aspects;
  • Cyberphysical systems and autonomous systems with human(s)-in-the-loop;
  • Computational and mathematical models of human behaviour and social systems (using mobile data, sensor and Internet of Things data, social media and other user-generated content, etc.) and their applications;
  • Reinforcement Learning and multi-agent systems;
  • Artificial Intelligence/Machine Learning techniques applied to personal data (in particular mobile and sensor data, social media and user-generated content), including their security&privacy implications.

[More information about the Intelligent Social Systems Lab and how to get involved]

[More information about my research work including projects, research outputs, talks and invited lectures, etc.]

Recent Pre-prints

Understanding the Impact of Partner Choice on Cooperation and Social Norms by means of Multi-agent Reinforcement Learning
Nicolas Anastassacos, Stephen Hailes and Mirco Musolesi
Submitted for Publication. Preprint available on arXiv: arXiv:1902.03185
[PDF]  [BibTex]

Learning through Probing: a Decentralized Reinforcement Learning Architecture for Social Dilemmas
Nicolas Anastassacos and Mirco Musolesi
Submitted for Publication. Preprint available on arXiv: arXiv:1809.10007
[PDF]  [BibTex]

Characterizing Animal Movement Patterns Across Different Scales and Habitats using Information Theory
Kehinde Ayodeji Owoeye, Mirco Musolesi and Stephen Hailes
Submitted for Publication. Preprint available on biorXiv: bioRxiv:311241
[PDF]  [BibTex]

Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges
Abhinav Mehrotra and Mirco Musolesi
Submitted for Publication. Preprint available on arXiv: arXiv:1711:10171
[PDF]  [BibTex]

Recent Publications

FutureWare: Designing a Middleware for Anticipatory Mobile Computing
Abhinav Mehrotra, Veljko Pejovic and Mirco Musolesi
Accepted for Publication in IEEE Transactions on Software Engineering. To Appear. 2019.
[PDF]  [BibTex]

Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
Benjamin Baron and Mirco Musolesi
Accepted for Publication in IEEE Pervasive Computing. To Appear. 2019. Preprint available on arXiv: arXiv:1710.08464
[PDF]  [BibTex]

Fatal Attraction: Identifying Mobile Devices Through Electromagnetic Emissions
Beatrice Perez, Mirco Musolesi and Gianluca Stringhini
In Proceedings of the 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec’19). Miami, Florida, USA. May 2019.
[PDF]  [BibTex]

Towards Decentralized Reinforcement Learning Architectures for Social Dilemmas
Nicolas Anastassacos and Mirco Musolesi
Accepted for Publication as Extended Abstract in the Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). Montreal, Canada. May 2019.
[Extended Abstract PDF]  [Extended Version - Working Paper] [BibTex]

NotifyMeHere: Intelligent Notification Delivery in Multi-Device Environments
Abhinav Mehrotra, Robert Hendley and Mirco Musolesi
In Proceedings of the 2019 ACM SIGIR Conference on Human Information Interaction and Retrieval (ACM CHIIR’19). Glasgow, Scotland. March 2019. Best Paper Award.
[PDF]  [BibTex]

Tracing Networks of Knowledge in the Digital Age
Mirco Musolesi
Accepted for Publication in Proceedings of the British Academy. To Appear. Oxford University Press. 2019.
[PDF]  [BibTex]

Under and over the Surface: a Comparison of the Use of Leaked Account Credentials in the Dark and Surface Web
Dario Adriano Bermudez Villalva, Jeremiah Onaolapo, Gianluca Stringhini and Mirco Musolesi
In Crime Science. Volume 7. Issue 17. Springer. December 2018.
[PDF]  [BibTex]

Using Unsupervised Deep Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States
Abhinav Mehrotra and Mirco Musolesi
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Volume 2. Issue 3. Presented in the Research Track of 2018 International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp’18). Singapore. October 2018.
[PDF] [BibTex]

[Full list of publications]

[Google Scholar page]

Last updated: 16 July 2019.