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.
PhD Studentship Available
We are advertising a PhD studentship for a project on HCI and intelligent mobile systems for digital mental health together with Anna Cox. If you are interested please get in touch. All the details about the application process can be found here. Closing date: 18 August 2017.
Two papers have been accepted in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) and will be presented in the main research track of ACM UbiComp’17 as part of the new journal-based conference model. In “MyTraces: Investigating Correlation and Causation between Users’ Emotional States and Mobile Phone Interaction” we show that users’ emotions have a causal impact on different aspects of mobile phone interaction. We also discuss the causal impact of the use of specific applications, reflecting the external users’ context such as socializing and travelling on the emotional state of the individual. In “Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns” we present an in-depth study of the relationships between users’ activities and interaction with notifications and apps.
An overview of our PrefMiner paper has been published in the ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile). The paper discusses how PrefMiner can be considered one of the first examples of interpretable machine learning applied to the design of intelligent mobile systems. You can download the paper here.
Our PrefMiner paper has also been listed in the ACM Best of Computing Notable Books and Articles for 2016.
We wrote an article on “Avoiding Pitfalls when Using Machine Learning in HCI Studies”, which will appear in the July 2017 edition of ACM Interactions: the paper discusses some of the issues related to the use of machine learning in HCI, especially in behavioural studies.
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.
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. The Doctoral School is co-located with ACM SenSys’17. 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:
- 27th International World Wide Web Conference (WWW 2018) - Web of Things, Mobile and Ubiquitous Computing Track [PC Member]
- 38th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2018) - Internet of Things and Cyber-Physical Systems Track [PC Member]
- 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]
- 1st International Workshop on Personal Analytics and Privacy at ECML PKDD 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]
- 9th International Conference on Social Informatics (SocInfo 2017) [PC Member]
- 5th IEEE International Workshop on Data-driven Self-regulating Systems (DSS 2017) at IEEE SASO’17 [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). At the moment, we are advertising a PhD studentship for a project on HCI and intelligent mobile systems for digital health together with Anna Cox. If you are interested please get in touch. All the details about the applications can be found here. Closing date: 18 August 2017.
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 a variety of “digital traces” (such as mobile data, sensor data, social media, user-generated content, etc.);
- Ubiquitous computing;
- Applied machine learning.
Main application areas are:
- Digital health;
- Data science for social good;
You can find all my publications following these links:
Last updated: 16 August 2017.