Abstract

 

The proliferation of mobile apps and systems have generated a large pool of datasets with very fine-grained spatio temporal characteristics which have the potential to enable powerful new applications in a wide range of domains, such as health, user recommendation and urban planning, to name a few. In these talks I will describe our work in the area of investigating the modelling and application of mobile and sensing data. The lessons will look at a combination of approaches to data analysis and gathering of mobile sensor data from phone apps as well as crowdsourced spatio-temporal samples from geo-social network services.


Bio

 

Cecilia Mascolo is Full Professor of Mobile Systems in the Computer Laboratory, University of Cambridge, UK. Prior joining Cambridge in 2008, she has been a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in human mobility modelling, mobile and sensor systems and networking and spatio-temporal data analysis. She has published in a number of top tier conferences and journals in the area and her investigator experience spans more than twenty projects funded by Research Councils and industry. She has served as organizing and programme committee member of over fifty mobile, sensor systems, data science conferences and workshops. She sits on the editorial boards of IEEE Pervasive Computing, IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. More details at www.cl.cam.ac.uk/users/cm542.