C-BRAIN-2018-2019-14: Pervasive sensing in the context of Well-being (L. I. Carvalho, NEMPS PhD Student, COPELABS jr researcher)

Presenter: Liliana I. Carvalho, NEMPS PhD Student

Title: Pervasive Sensing in the Context of Well-being. 

BIO

Liliana I. Carvalho (female, M.Sc.), is a junior researcher at COPELABS (Cognitive and People-centric Computing), University Lusófona, and a PhD student at the New Media and Pervasive Systems (NEMPS) PhD programme, working on pervasive sensing aspects in the context of social interaction and social well-being. Her current research interests concern human behavior inference via mobile sensing platforms. 

ABSTRACT

Mobile sensing has been gaining ground due to the increasing capabilities of mobile, personal devices that are carried around by citizens, giving access to a large variety of data and services, all based on the way humans interact. Nevertheless, pervasive platforms used to capture and to infer human interaction are still designed in a simplistic way, aspect which prevents them to adequately scale.

This thesis is focused on investigating a better support for large-scale sensing platforms which are dedicated to inference of social interaction, among other aspects. The main expected outcome are mobile edge based mechanisms that can reduce latency and energy consumption of these platforms, by leveraging the network to best adjust to data computation requirements and to context.