Yu-Chia Hu

Southern Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Yu-Chia Hu’s research lies at the intersection of computer vision, intelligent control, and evolutionary optimization, with a strong focus on real-time systems and autonomous robotics. His most cited work, “Applications of PCA and SVM‐PSO Based Real‐Time Face Recognition System” (2014, 22 citations), introduces a hybrid framework that integrates principal component analysis with support vector machine–particle swarm optimization to enhance the accuracy and speed of face recognition in dynamic environments. This contribution is notable for its practical deployment in real-time surveillance and authentication systems. In earlier studies, Hu applied genetic algorithm–particle swarm optimization (GA-PSO) to fuzzy logic control for robot soccer, as seen in his 2010 paper (5 citations), where he optimized motion controllers to determine a robot’s optimal velocity in competitive five-versus-five simulations. A related work, “Hybrid Algorithm of FLC Design for Robot Soccer” (2010, 2 citations), further refined fuzzy logic controller design using hybrid metaheuristics. Collectively, Hu’s work demonstrates a sustained commitment to bridging machine learning and evolutionary computation for real-world autonomous systems, earning him recognition for advancing practical, high-performance control and recognition technologies.