Papers
1
Total Citations
7
H-Index
1
About
Casey Bui is a researcher at the forefront of embedded vision systems, specializing in hardware/software co-design for real-time visual analysis. Their most cited work, "A Hardware/Software Co-Design Approach for Real-Time Object Detection and Tracking on Embedded Devices" (2018, 7 citations), addresses a critical challenge in modern computing: enabling sophisticated computer vision on resource-constrained platforms. Bui’s contributions focus on bridging the gap between algorithm development and hardware implementation, optimizing object detection and tracking for applications in video surveillance, robotics, and industrial manufacturing. By proposing integrated design methodologies, they have helped make embedded vision more practical and efficient for real-world deployment. While their citation count is still growing, Bui’s work represents an important step toward bringing real-time visual intelligence to edge devices, a key enabler for autonomous systems and smart environments. Their research is particularly relevant for students and engineers working at the intersection of computer vision and embedded systems, offering practical insights into balancing performance, power, and accuracy in constrained environments.
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Top Papers
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