About the Research Center
We study the physical aspects of sensing, generating, collecting, storing, transporting, and processing large data sets.
These capabilities constitute one of the foundational technologies that enable myriad data applications with benefits that scale from human beings to society. Broadly categorized, sensing data includes research on novel sensors and sensing modalities, ranging from new materials to new sensing devices and systems; collecting data includes technology to connect sensors to data; and moving data includes advances in models, protocols, architectures and technologies for data centers and networks in many scales and modalities.
The Center concentrates on two focus areas: Enabling Technologies Underpinning Physical AI, covering trustworthy sensing, embedded and edge intelligence, and efficient physical AI systems, demonstrated through robot-assisted surgery; and Adaptive Application-Aware Networking, building low-latency, geo-distributed infrastructure for real-time coordination, demonstrated through remote healthcare and XR rehabilitation. Together, these pillars bridge cloud-bound computation and physical-world action.
Leadership
Columbia Engineering
Professor of Professional Practice in the Department of Electrical Engineering
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