ECS, Faculty of Physical and Applied Sciences
University of Southampton
Southampton, United Kingdom. SO17 1BJ
Position: Postgraduate, full-time research in Agents, Interaction and Complexity
Email: jem1c10@ecs.soton.ac.uk
URI: http://id.ecs.soton.ac.uk/person/25361 [browse]
Interests: autonomous agents, bayesian machine learning, location prediction, mobile interfaces, package delivery, ubiquitous computing
**New** Here is my paper on crowdsourcing package delivery (extended from our entry to the Data for Development (D4D) with Orange at NetMob): http://eprints.soton.ac.uk/352319/
People increasingly interact with digital networks in their daily lives. From making phone calls and checking email, to navigating a neighbourhood with a mobile application or asking for recommendations, we are leaving more digital traces of our behaviour than ever. Given this, efforts to extract meaning from these digital breadcrumbs using machine learning have emerged in recent years. My research is to model individual location behaviour with mobile phone sensor data in order to identify and predict the temporal and social structure in routine. This is for the purpose of allowing autonomous agents to effectively manage resources (e.g. energy, information) for the benefit of the individual.
PhD student
M.A. Computer Science, Oxford University
MSc Artificial Intelligence, Imperial College London