University of Birmingham
TITLE | Mining and Understanding Big (and Small) Mobile Data
ABSTRACT | Mobile phones are increasingly equipped with sensors, such as accelerometers, GPS receivers, proximity sensors and cameras, which, together with social media infromation can be used to sense and interpret people behaviour in real-time. Novel user-centered sensing applications can be built by exploiting the availability of these technologies. Moreover, data extracted from the sensors can also be used to model and predict people behaviour and movement patterns, providing a very rich set of multi-dimensional and linked data, which can be extremely useful, for instance, for marketing applications, real-time support for policy-makers and health interventions.
In this talk I will discuss some recent projects in the area of large-scale scale data mining and modelling of mobile data, with a focus on human mobility prediction and epidemic spreading containment. I will also overview other possible practical applications of this work, in particular with respect to the emerging area of anticipatory computing and the challenges ahead for the research community.
BIOGRAPHY | Dr. Mirco Musolesi is a Reader in Networked Systems and Data Science at the School of Computer Science at the University of Birmingham. He received a PhD in Computer Science from University College London in 2007. Before joining Birmingham, he held research positions at Dartmouth College and Cambridge and a Lectureship at the University of St Andrews. His research interests lie at the interface of different areas, namely ubiquitous computing, large-scale data mining, and network science. More information about his research profile can be found here.