Dr Tom Lovett
MEng DIS EngD
Profile
Tom Lovett is a Research Officer in the Department of Architecture and Civil Engineering.
He has a background in computer science, with research interests in interactive intelligent systems, artificial intelligence and human-computer interaction.
Tom studied for a MEng Systems Engineering, specialising in computing and communications systems. He went on to study an EngD Computer Science at the University of Bath and Vodafone R&D, with focus on interactive intelligent mobile systems.
Research
Tom's research interests include:
- designing and building intelligent systems that both passively and actively learn from their users, interacting with them through traditional and novel methods in real time
- the inference and application of people’s context, i.e. their situations, from sensed data
- modelling user behaviour in response to prompts from intelligent systems
- data sensing and fusion from unusual data sources.
He has expertise in:
- software design programming (particularly mobile devices)
- data analysis and visualisation
- statistics.
He currently works on the ENLITEN project, which concentrates on energy usage reduction in domestic buildings through better understanding of both building and occupant behaviours, as well as the intelligent modelling of these behaviours for occupant behaviour intervention.
Publications
Book/s
Lovett, T. and O'Neill, E., eds., 2012. Mobile context awareness. London: Springer.
Book Sections
Lovett, T., Gabe-Thomas, E., Natarajan, S., O'Neill, E. and Padget, J., 2013. 'Just enough' sensing to ENLITEN : A preliminary demonstration of sensing strategy for the 'ENergy LIteracy Through an intelligent home ENergy advisor' (ENLITEN) project. In: e-Energy '13: Proceedings of the Fourth International Conference on Future Energy Systems. New York: ACM, pp. 279-280.
Lovett, T. and O'Neill, E., 2012. Capturing transitions between users' semantically meaningful places using mobile devices. In: MCSS '12 Proceedings of the 1st ACM workshop on Mobile systems for computational social science. New York, USA: ACM, pp. 11-16.
Lovett, T. and O'Neill, E., 2012. Simulating user intervention for interactive semantic place recognition with mobile devices. In: LocalPeMA'12: Proceedings of the 2012 RecSys Workshop on Personalizing the Local Mobile Experience. New York: ACM, pp. 13-18.
Lovett, T. and O'Neill, E., 2011. Context transitions: user identification and comparison of mobile device motion data. In: Activity Context Representation: Techniques and Languages - Papers from the 2011 AAAI Workshop, Technical Report. Vol. WS-11-04. El Segundo, CA.: AI Access Foundation, pp. 42-47. (AAAI Workshop - Technical Report)
Lovett, T., O'Neill, E., Irwin, J. and Pollington, D., 2010. The calendar as a sensor: analysis and improvement using data fusion with social networks and location. In: Ubicomp '10 Proceedings of the 12th ACM international conference on Ubiquitous computing. New York: ACM.
Conference or Workshop Items
Lovett, T., O'Neill, E., Pollington, D. and Irwin, J., 2009. Event-based mobile social network services. In: Workshop on Context-Aware Mobile Media and Mobile Social Networks, Mobile HCI 2009, 2009-09-15 - 2009-09-18, University of Bonn.
