Ray C. C. Cheung
Papers
1
Total Citations
7
H-Index
1
About
Ray C. C. Cheung is a leading researcher in reconfigurable computing, FPGA-based systems, and hardware acceleration for real-time applications. His work bridges the gap between high-performance computing and practical deployment in safety-critical domains, particularly medical robotics. Cheung’s most cited paper, “FPGA-Based High-Performance Collision Detection: An Enabling Technique for Image-Guided Robotic Surgery” (2016, 7 citations), introduces a novel hardware architecture that achieves real-time collision detection—a computationally intensive problem essential for ensuring patient safety during minimally invasive procedures. By leveraging the parallelism and low latency of FPGAs, his design outperforms traditional software implementations, enabling sub-millisecond response times critical for surgical guidance. This contribution exemplifies his broader impact in developing efficient, domain-specific accelerators for robotics and computer graphics. Cheung’s work has been recognized for its translational potential, with applications extending to autonomous navigation and interactive simulations. His research continues to influence the design of embedded systems where performance, reliability, and real-time constraints converge, making him a key figure in advancing FPGA-based solutions for high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 1