Smartphones have graduated over a period of time from merely calling instruments to smart and highly personal devices. Besides being technically advanced and pervasive, these devices have a plethora of embedded sensing capabilities that enables us to passively log users' context and collect such data at an unprecedented scale. In this talk I will be discussing the understanding and modeling of human behavior through mobile sensing and machine learning. More specifically, I will focus on modeling users' interaction with mobile devices, and anticipatory monitoring of health and well-being.
Abhinav is a postdoctoral research associate working at University College London. His main areas of interest include mobile sensing, context-aware computing and anticipatory computing. His research focuses on understanding and predicting human behaviour for interacting with mobile devices by using contextual information obtained from the embedded sensors.