Duy-Linh Nguyen
Papers
12
Total Citations
123
H-Index
4
About
Duy-Linh Nguyen is a computer vision researcher whose work sits at the intersection of deep learning, real-time perception systems, and human-robot interaction. His research centers on developing lightweight yet powerful neural network architectures capable of running efficiently on low-cost edge devices and CPUs — a critical challenge in practical robotics deployment. Nguyen has made significant contributions to face-related recognition tasks, including facial expression detection, face mask identification, gender recognition, and facial attribute analysis, with his 2022 sequential attention network for facial expression detection earning 56 citations and establishing him as a notable voice in affective computing for robotics. His earlier work on lightweight convolutional neural networks for real-time face detection on CPUs (2020, 26 citations) demonstrated a consistent commitment to bridging the gap between research-grade accuracy and real-world computational constraints. Beyond human-centric vision, Nguyen has extended his expertise to license plate recognition, person detection for assistive robots, and agricultural automation, including tomato classification systems. Collectively, his portfolio reflects a researcher dedicated to making intelligent vision systems accessible, efficient, and deployable across diverse real-world applications — from pandemic-era safety monitoring to agricultural robotics.
Research Focus
Key Achievements
Top Papers
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- 9An Efficient Detector for Automatic Tomato Classification Systems2 citations · 2024
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