I am a Reader (roughly 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.
Postdoctoral Fellow Job Opening
I will advertise a Postdoctoral Research Associate job in April 2017. Please contact me for more information in the meanwhile.
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 accepted for publication 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. A pre-print version of the paper can be downloaded here.
Our paper on “Probabilistic Matching: Causal Inference under Measurement Errors” has been accepted for publication at the International Joint Conference on Neural Networks (IJCNN’17). In this work, we propose a novel approach for causal inference when one or more key variables are noisy. The proposed method has many practical applications for example for the analysis of streams of sensor data. A pre-print version of 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 preliminary version of the paper can be downloaded from this link.
We wrote a (fun) paper with some (serious) health policy implications about the analysis of cuisines around the world based on data from Yummly. The paper has been accepted for publication at WWW’17 in the Web Science Track. The project has been covered by MIT Technology Review, The Independent and France 24 among the others.
Our paper “The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial” has been published in PLOS ONE. The article discusses the results of a trial on the impact of intelligent context-aware push notifications in smartphone-based stress management behavioural interventions.
I have joined the Editorial Board of the “Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)”, the new journal that will publish the papers presented at ACM UbiComp. More information about the new publication model of UbiComp can be found here.
We won the Best Paper Award at ACM UbiComp 2016 for our paper “PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management”.
At ACM UbiComp 2016 we also presented the paper “Towards Multi-modal Anticipatory Monitoring of Depressive States through the Analysis of Human-Smartphone Interaction” at the “Mental Health: Sensing and Intervention Workshop” colocated with UbiComp 2016.
Our paper “Spatio-temporal Networks: Reachability, Centrality and Robustness” has been published in Royal Society Open Science. The work was also covered by the Evening Standard.
We have been awarded a Google Internet of Things (IoT) Technology Research Award.
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 Program Committee Co-Chair of the PervasiveHealth 2017 conference.
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]
- 25th ACM Multimedia Conference (ACM MM 2017) - Ubiquitous Multimedia Track [PC Member]
- 12th 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 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 at ACM UbiComp’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]
- 11th AAAI International Conference on Web and Social Media (AAAI ICWSM 2017) [Senior PC Member]
- 37th IEEE International Conference on Distributed Computing (IEEE ICDCS’17) - Social Networks and Crowdsourcing Track [PC Member]
- 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems (IEEE/ACM MobileSoft 2017) colocated with ACM/IEEE ICSE 2017 [PC Member]
The research focus of my lab is on sensing, modelling, understanding and predicting human behaviour in space and time, at different scales, using the “digital traces” we generate daily in our online and offline lives. More specifically, I am interested in developing mathematical and computational models as well as implementing real-world systems based on them. This work has applications in a variety of domains, such as 1) the design of intelligent systems, in particular ubiquitous computing systems and networked systems; 2) healthcare (with a current focus on mental health); 3) security&privacy; and 4) data science for “social good”.
Undergraduate and Master Students at UCL. Undergraduate and Master projects under my supervision are usually “research-oriented”, i.e., they are related to research topics we are currently investigating in my group. More in general, please do not hesitate to contact me if you are interested in a project or in being involved in the activities of my lab. Also, if you are a first or second year Undergraduate student at UCL and you are interested in doing a (paid) research internship in my group during the summer just come to my office or drop me an email (also in order to explore the possibility of doing a PhD after your degree).
Ph.D. Students. I am looking for students interested in pursuing a Ph.D. in Data Science, Ubiquitous Computing, and Networked Systems in my lab. If you are interested please contact me by email in order to discuss the funding of your studies (such as available postgraduate studentships and other potential sources of Ph.D. funding).
Postdoctoral Research Associates. I am happy to discuss postdoc opportunities in my group, also potentially through fellowships such as those offered through the Newton Fund, EU Skłodowska-Curie Actions or the Fulbright Scholar Program.
Researchers and Industrial Collaborations. I am happy to discuss possible visits of UG/Master/Ph.D. students and researchers in my group. I am also happy to discuss potential collaborations with companies and other organisations interested in the research activities of our lab.
Last updated: 29 April 2017.