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.
What We're Looking For:
We seek highly motivated students, comfortable crossing disciplines and well qualified to explore the cutting edge between sensor networks and their human-centric applications.
As our group is a core center of technology at the Media Lab, we require students not only to be extremely creative and original, but also technically adept. Although a background in music, design, or the arts can be a strong plus, successful students will have strong skills in at least one or two technical areas such as: circuit design, signal processing and/or controls, RF systems, software engineering, pattern recognition and algorithms, embedded systems, sensor networks or technology, physics, mechanical engineering, or microfabrication. We prize original and unorthodox approaches to technical challenges, and all students are expected to build and physically realize their ideas.