The Camera Culture group focuses on making the invisible visible — inside our bodies, around us, and beyond — for health, work, and connection. The goal is to create an entirely new class of computational and sensory platforms that have an understanding of the world that far exceeds human ability and produce meaningful abstractions that are well within human comprehensibility.
The group conducts multi-disciplinary research in physical (e.g., sensors, health-tech), digital (e.g., automating machine learning) and global (e.g., geomaps, autonomous mobility) domains. Recent projects include cameras to see around corners beyond the line of sight, health diagnostics devices that are being used in 90+ countries, and distributed computing for population health via automated and privacy-aware machine learning.
The group is proud of inspiring several large research initiatives to tackle UN’s sustainable development goals.
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Keywords: Computational imaging, Signal processing, Applied optics, Computer graphics and vision, Medical Imaging, Thermal and ultrasound sensing, Hardware electronics, Art, Online photo collections, Visual social computing.
What We're Looking For:
Students with backgrounds in one or more of the following areas: machine learning, computational imaging, signal processing, applied optics, computer vision and health-tech. Postdoctoral applicants should contact Professor Raskar directly.