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.
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.
I joined the Editorial Board of IEEE Pervasive Computing as Associate Editor in Chief.
I joined the Editorial Board of the ACM Transactions on the Internet of Things.
We have been awarded a grant from the Leverhulme Trust for the funding of the cross-disciplinary Ecological Brain Doctoral Training Centre. The focus of the centre is the study of the brain and human behaviour in-the-wild. The first cohort of PhD students will start in Autumn 2018.
I am currently involved in the following upcoming scientific events. Please consider submitting your work to and attending these conferences and workshops:
- 24th ACM International Conference on Mobile Computing and Networking (ACM MobiCom 2018) [Program Committee Member]
- 2018 ACM International Conference on Pervasive and Ubiquitous Computing [Member of the Editorial Board of the associated ACM IMWUT Journal and Workshop co-Chair]
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018 (ECML PKDD 2018) [Programme Committee Member]
- 1st UK Mobile, Wearable and Ubiquitous Systems Research Symposium [Member of the Organizing Committee ]
- 2nd International Workshop on Personal Analytics and Privacy at ECML PKDD 2018 [Program Committee Member]
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.
The focus of the work of my lab is on the design of next-generation intelligent systems based on computational models of human behaviour and social dynamics. I am interested in both theoretical and systems-oriented aspects. In other words, I enjoy investigating theoretical foundations and models, and then using them in a variety of applications, including the development of real-world systems.
Areas of interest include:
- Design and implementation of intelligent systems;
- 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;
- Ubiquitous computing and mobile systems;
- Data science&AI for social good;
Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
Benjamin Baron and Mirco Musolesi
Submitted for Publication. Preprint available on arXiv: arXiv:1710.08464
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
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
Using Unsupervised Deep Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States
Abhinav Mehrotra and Mirco Musolesi
Accepted for Publication in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). To be presented in the Research Track of 2018 International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp’18). Singapore. October 2018. To Appear. [PDF] [BibTex]
Analyzing and Predicting the Spatial Penetration of Airbnb in U.S. Cities
Giovanni Quattrone, Andrew Greatorex, Daniele Quercia, Licia Capra and Mirco Musolesi
Accepted for Publication in EPJ Data Science. To Appear. 2018.
Precise Time-matching in Chimpanzee Allogrooming does not Occur After a Short Delay
Steve Phelps, Wing Lon Ng, Mirco Musolesi and Yvan I. Russell
Accepted for Publication in PLOS ONE. To Appear. 2018.
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
In Proceedings of the 20th International ACM Conference on Human-Computer Interaction with Mobile Devices and Services (ACM MobileHCI 2018). Barcelona, Spain. September 2018.
A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data
Stefania Rubrichi, Zbigniew Smoreda and Mirco Musolesi
In EPJ Data Science. Volume 7. Issue 17. Springer. June 2018.
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.
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.
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.
Last updated: 19 August 2018.