Responsive Environments
Our research focuses on densely embedded networks of smart multimodal sensors that collaborate to receive and classify diverse stimuli, an endeavor that promises to revolutionize the way humans and machines perceive and interact with the world and each other. We concentrate on human-centric applications of sensor networks under the mantle of ubiquitous computing, breaking new ground in areas like medical monitoring, human-computer interaction, social computing, and creative expression. Our work has developed approaches and frameworks that aim to remove the restrictions of limited energy resources on ubiquitous sensor deployments, inspiring development of wearable sensor networks and opening new modalities of human interaction and integration with sensor networks. Our goal is not only to develop new architectural and algorithmic advances to move sensor networks forward, but also to open critical new applications that will galvanize this field.
We seek highly motivated students, comfortable crossing disciplines and well qualified to explore the cutting edge between sensor networks and their human-centric applications.
