Senior Technical Manager, Center for Vision Technology, Vision Systems
David Zhang, Ph.D., is the Senior Technical Manager of the Edge Computing Group at SRI International. His group studies AI online learning and adaptation at the edge, focusing on the algorithm-hardware codesign of neuromorphic architecture for low power AI devices. The group develops disruptive solutions in real-time multi-sensor fusion and smart visions.
David has expertise in computer vision and machine learning algorithms, with experience in real-time video surveillance, tracking, fusion, and enhancements in degraded visual environment. His recent research is on Hyperdimensional Computing, gradient-free learning and efficient big data ML processing. His work on quantized neural network has supported a spin-off company which won the 2020 Startup of the Year Award by IoT World. He was also an algorithm lead on numerous DARPA/DoD programs, including DARPA HyDDENN, IARPA Raven and ARPA-E MicroCam. He is currently the principal investigator on DARPA IP2 and is leading the SRI IRAD NeuroEdge program. David received his PhD in Physics from Penn State in 2001. He has had about 30 published papers, 10 patents and numerous patent applications.
key projects
DARPA IP2 –
IARPA Raven –
IRAD NeuroEdge –
SOCOM CVAST –
ARPA-E MicroCam –
Recent publications
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