Abstract: In this talk I will challenge the massive sensorised approach for personal IoT applications drawing upon the failure of commercializing smart home research of last 15 years. I will argue that for wide scale adoption, and market penetration of personalized IoT services, existing network infrastructure should play the key role for sensing and learning, by eliminating the cost of deployment and management of many sensors. I will then zoom into Bell Labs' opportunistic network sensing approach that transforms quantified noises into social signals by discussing a number of case studies, that uses mobile network, home network and travel network signals instead of dedicated sensing infrastructure to extract rich and valuable contextual knowledge about personal and community behavior in multiple application domains including Enterprise, Urban City, and Lifestyle.
About the Speaker: Dr. Fahim Kawsar leads the Internet of Things research activity at Bell Labs. His current work focuses on building human centred software architectures, applications and interaction tools with awareness technologies (sensor-actuator-perception algorithm) in the cross-section of Ubiquitous Computing and Human Computer Interaction. He has a keen interest in understanding what aspects of system infrastructure can be part of the user experience and what design and interaction rationales lead to such system. Fahim's work has been published widely in international books and journals, presented at conferences across the world and has had projects commissioned. Fahim has a PhD in Computer Science from Waseda University, has worked before at Nokia Research, and Lancaster University.