I am a Reader (equivalent to an Associate Professor in the North-American academic system) in Data Science at the Department of Geography at University College London, where I lead the Intelligent Social Systems Lab. The lab is part of the UCL Geospatial Analytics and Computing Research Group.

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

At UCL I am Deputy Director of the Leverhulme Doctoral Training Programme for the Ecological Study of the Brain, a member of the Steering and Executive Board of the UCL Institute of Digital Health and a member of the UCL Academic Centre of Excellence for Cyber Security Research (ACE-CSR).

I am also the Director of the UCL Master in Geospatial Analysis.

[More about me]

Research Interests

Current areas of interest include:

  • Computational 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 its applications;
  • Applied machine learning;
  • Ubiquitous computing;
  • Mobile systems.

Application areas include:

  • Design and implementation of intelligent systems;
  • Data science&AI for social good;
  • Security&privacy.

[More information about the Intelligent Social Systems Lab]

[More information about projects and research outputs]

What’s New

[Older News]

Upcoming Events

I  am currently involved in the following upcoming scientific events. Please consider submitting your work to and attending these conferences and workshops:

[Past events]

Ph.D. Students and Postdoc Opportunities

  • PhD Students. I am looking for students interested in pursuing a Ph.D. in my lab. If you are interested please contact me by email in order to discuss potential funding sources for your studies (such as available postgraduate studentships and other potential sources of Ph.D. funding).

  • Postdoctoral Researchers. I am also happy to discuss other opportunities for working in my group, including fellowships such as those offered through the Newton Fund, EU Skłodowska-Curie Actions or the Fulbright Scholar Program.

Recent Papers and Pre-prints

Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
Benjamin Baron and Mirco Musolesi
Submitted for Publication. Preprint available on arXiv: arXiv:1710.08464
[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]

A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data
Stefania Rubrichi, Zbigniew Smoreda and Mirco Musolesi
Accepted for Publication in EPJ Data Science. To Appear. Springer. 2018.
Preprint available on arXiv: arXiv:1706.00690
[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. 2018.
[PDF]  [BibTex]

The Hidden Image of Mobile Apps: Geographic, Demographic, and Cultural Factors in Mobile Usage
Ella Peltonen, Eemil Lagerspetz, Jonatan Hamberg, Abhinav Mehrotra, Mirco Musolesi, Petteri Nurmi and Sasu Tarkoma
Accepted for Publication in Proceedings of the 20th International ACM Conference on Human-Computer Interaction with Mobile Devices and Services (ACM MobileHCI 2018). To Appear. Barcelona, Spain. September 2018.
[PDF]  [BibTex]

You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information
Beatrice Perez, Mirco Musolesi and Gianluca Stringhini
In Proceedings of the 12 International AAAI Conference on Web and Social Media (ICWSM 2018). Palo Alto, California, CA, USA. June 2018.
[PDF] [BibTex]

Predicting the Temporal Activity Patterns of New Venues
Krittika D’Silva, Anastasios Noulas, Mirco Musolesi, Cecilia Mascolo and Max Sklar
In EPJ Data Science. Volume 7. Issue 13. Springer. May 2018.
[PDF]  [BibTex]

Personal Informatics Tools Benefit from Combining Automatic and Manual Data Capture in the Long-Term
Nora Ptakauskaite, Anna Cox, Mirco Musolesi, Abhinav Mehrotra, James Cheshire and Chiara Garattini
In Proceedings of the ACM CHI Workshop on Next Steps Towards Long Term Self Tracking. Colocated with ACM CHI 2018. Montreal, Canada. April 2018.
[PDF] [BibTex]

[Full list of publications]

[Google Scholar page]


Last updated: 21 May 2018.