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. We are part of the Geospatial Analytics and Computing Group.
We have published the pre-print “A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data” on the design of spatial disease containment strategies based on a real-world cellular network call dataset from Ivory Coast. More specifically, the paper discusses the impact of the socio-geographical heterogeneity on disease transmission dynamics. In particular, we consider the spreading of the Ebola virus as a case study.
Our paper “Designing Effective Movement Digital Biomarkers for Unobtrusive Emotional State Mobile Monitoring” has been accepted at the 1st ACM Workshop on Digital Biomarkers colocated with ACM MobiSys 2017. The paper discusses the design of novel digital biomarkers for the inference of emotional states based on the fine-grained characterization of the mobility patterns of a user over time. You can download the paper from here.
We wrote a short survey on “Sensing and Modeling Human Behavior Using Social Media and Mobile Data”. The article will be part of a book that will be published in the next months. The pre-print of the article is available on ArXiv.
Our paper “Anonymous or not? Understanding the Factors Affecting Personal Mobile Data Disclosure” has been published in ACM Transactions on Internet Technology. The article contains an experimental evaluation of the different factors affecting users’ disclosing choices of location and social interaction information. The paper can be downloaded here.
I wrote an article on “Tracing Networks of Knowledge in the Digital Age”. The paper will appear in the Proceedings of the British Academy in the coming months. The paper is an output of the “Tracing networks: communicating knowledge in antiquity and the digital age” event organised by the British Academy some years ago. A pre-print of the paper can be downloaded from this link.
I will be teaching at the Doctoral School on Transiently Powered Computing that will take place at TU Delft, Netherlands from 8th to 10th November 2017. Please consider attending it.
I am currently involved in the following upcoming scientific events. Please consider submitting your work to and attending these conferences and workshops:
- 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018) [PC Member]
- International Conference on Embedded Wireless Systems and Networks 2018 (EWSN 2018) [PC Member]
- 6th Conference on Complex Networks and Their Applications (Complex Networks 2017) [PC Chair]
- 25th ACM Multimedia Conference (ACM MM 2017) - Ubiquitous Multimedia Track [PC Member]
- 12th ACM Workshop on Challenged Networks (ACM CHANTS 2017) at ACM MobiCom 2017 [PC Member]
- 2017 ACM International Conference on Pervasive and Ubiquitous Computing [Member of the Editorial Board of the Associated ACM IMWUT Journal]
- 2nd ACM International Workshop on Mental Health and Intervention at ACM UbiComp’17 [PC Member]
- 2nd ACM International Workshop on Intelligent Personal Support of Human Behavior at ACM UbiComp’17 [PC Member]
- 6th ACM International Workshop on Pervasive Urban Applications (PURBA 2017) at ACM UbiComp’17 [PC Member]
- 5th IEEE International Workshop on Data-driven Self-regulating Systems (DSS 2017) at IEEE SASO’17 [PC Member]
- 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (ACM MobileHCI 2017) [PC Member]
- 1st ACM Workshop on Digital Biomarkers at ACM MobiSys 2017 [PC Member]
- 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (ACM DroNet 2017) at ACM MobiSys 2017 [PC Member]
- 9th International ACM Web Science Conference 2017 (ACM WebSci 2017) [PC Member]
- 37th IEEE International Conference on Distributed Computing (IEEE ICDCS’17) - Social Networks and Crowdsourcing Track [PC 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.
Current areas of interest of my lab include:
- Computational and mathematical modelling of human behaviour and social systems using mobile data and other digital sources (smartphone data, cellular network data, social media, user-generated content, etc.);
- Ubiquitous computing;
- Networked systems and network science (with a particular focus on social networks and spatio-temporal networks);
- Applied machine learning;
- Digital health;
- Data science for social good;
You can find all my publications following these links:
Last updated: 13 June 2017.