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.
Ph.D. Studentship Opportunity: The Leverhulme Ecological Brain Doctoral Training Centre
Applications are now open for the the cross-disciplinary Ecological Brain Doctoral Training Centre. The first cohort of PhD students will start in Autumn 2018. Applications are now open. Please follow this link for more information. I am happy to discuss potential projects with prospective students interested in working in this area.
Closing date: 28 March 2018.
Current areas of interest include:
- Computational and mathematical modelling of human behaviour and social systems and its applications (using mobile data, sensor and IoT data, social media and other user-generated content, etc.);
- Applied machine learning;
- Ubiquitous computing and mobile systems.
Application areas include:
- Design and implementation of intelligent systems;
- Data science&AI for social good;
- Computational social science and urban analytics;
- Digital health;
I joined the Editorial Board of the ACM Transactions on the Internet of Things. The new journal will start accepting submissions in April 2018. A flyer is available here.
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. Applications are now open. Please follow this link for more information.
Our new paper containing some initial results about the development of deep learning models for psychological state prediction from mobile data was presented at the NIPS Workshop on Machine Learning for Health. You can download the paper here.
We wrote a paper on “Interpretable Machine Learning for Privacy-Preserving Pervasive Systems”. In this paper we propose a machine learning interpretability framework for inference algorithms based on data collected through pervasive systems and we outline the open challenges in this research area.
The new preprint “Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges” is now available on arXiv. The survey provides an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users’ context and preferences. It also outlines the research challenges in this area.
Our new paper “Are you Getting Sick? Predicting Influenza-like Symptoms Using Human Mobility Behaviors” about the prediction of symptoms associated to influenza by analysing mobility patterns collected by means of mobile phones has been published in EPJ Data Science.
Two papers were accepted in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) and were 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 appeared 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.
I am currently involved in the following upcoming scientific events. Please consider submitting your work to and attending these conferences and workshops:
- 24th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2018) [Program Committee Member]
- 16th ACM International Conference on Mobile Systems, Applications and Services (ACM MobiSys 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]
- 12th International AAAI Conference on Web and Social Media (AAAI ICWSM 2018) [Senior Program Committee Member]
- 27th International World Wide Web Conference (WWW 2018) - Web of Things, Mobile and Ubiquitous Computing Track [Program Committee Member]
- 12th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2018) [Program Committee Member]
- 38th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2018) - Internet of Things and Cyber-Physical Systems Track [Program Committee Member]
- 10th ACM Conference on Web Science (ACM WebSci’18) [Program Committee Member]
- 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018) [Program Committee Member]
- International Conference on Network Science (NetSci 2018) [Program Committee Member]
- 4th Annual International Conference on Computational Social Science (IC2S2 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). For example, as listed above, applications are now open for the the cross-disciplinary Ecological Brain Doctoral Training Centre. Please follow this link for more information.
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.
You can find all my publications following these links:
Office Hours - Second Term
Variation: The office hours on Monday 19 March will take place 10-11am instead of 1-2pm.
Last updated: 17 March 2018.