Papers
4
Total Citations
90
H-Index
4
About
Deming Chen is a leading researcher in embedded systems, reconfigurable computing, and real-time intelligent systems. His work focuses on bridging the gap between complex algorithms and practical hardware acceleration, particularly using FPGAs and embedded GPUs. Chen’s most cited contribution is a novel system-on-chip (SoC) architecture on FPGA for ultra-fast face detection (2009, 50 citations), which tackled the critical challenge of real-time accuracy in applications like video surveillance and biometric authentication. He also pioneered real-time 3D sound localization on GPUs (2012, 19+12 citations), enabling computationally intensive spatial audio for robotics and security systems. His notable work on a telepresence robot using an embedded GPU platform (2016, 9 citations) demonstrates his commitment to deploying high-performance computing in portable, standalone systems. Through these contributions, Chen has shown how to optimize both speed and power efficiency, making real-time computer vision and audition viable for resource-constrained platforms. His research continues to influence the design of intelligent, autonomous systems that require immediate, accurate responses to their environments.
Research Focus
Key Achievements
Top Papers
- 1A novel SoC architecture on FPGA for ultra fast face detection50 citations · 2009
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