Dr. Neal Lathia
I am currently funded by the EPSRC UBhave (Ubiquitous and Social Computing for Positive Behaviour Change) Project, with Cecilia Mascolo and Jason Rentfrow. I am also an affiliate of the University of Maryland.
My research to date falls somewhere in the intersection of data mining, mobile systems, ubiquitous/pervasive systems, and personalisation/ recommender systems, applied to a variety of contexts where we measure human behaviour by their digital footprints. You can find my research blog here.
Prior to joining the Computer Lab, I was a Research Associate in the Department of Computer Science at University College London. I researched personalisation in mobile/public transport contexts as part of the EC i-Tour project, with Licia Capra.
I also obtained my PhD from University College London (supervised by: Stephen Hailes and Licia Capra), funded by the EPSRC Utiforo project: my doctoral work centred around evaluating collaborative filtering algorithms for online recommender systems over time.
- January 2014: Launch and first tests of the Easy M experience sampling tool underway...
- September 2013: Join the Coursera Introduction to Recommender Systems; I'm interviewed in Week 8/9 about my doctoral research.
- June 2013: Paper about the open source sensing libraries to appear at the MCSS workshop.
- May 2013: Read all about it! Emotion Sense in the press
- May 2013: Paper "Contextual Dissonance: Design Bias in Sensor-Based Experience Sampling Methods" accepted to ACM Ubicomp 2013
- May 2013: Paper "Smartphones for Large-scale Behaviour Change Interventions" accepted to IEEE Pervasive Computing.
- April 2013: I'm co-organising the Ubicomp Workshop on Pervasive Urban Applications.
- February 2013: Android Emotion Sense App released.
- I'm the Ubicomp 2013 Social Media Chair. Connect with us on Twitter, Facebook, or Google+
- February 2013: Paper "Probabilistic Group Recommendation via Information Matching" to appear at WWW 2013 [pdf]
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