Kuo-Yang Wang

Southern Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Kuo-Yang Wang is a researcher specializing in intelligent systems, computer vision, and robotics, with a focus on integrating machine learning and optimization techniques for real-world applications. His most cited work, "Applications of PCA and SVM‐PSO Based Real‐Time Face Recognition System" (2014, 22 citations), introduces a novel hybrid approach that combines principal component analysis (PCA) with support vector machine-particle swarm optimization (SVM-PSO) to enhance the accuracy and efficiency of real-time face recognition systems. This contribution demonstrates his ability to merge dimensionality reduction with evolutionary optimization, improving system validity in dynamic environments. Additionally, his earlier work, "ACA-based Fuzzy Controller Design for Robot Soccer" (2009, 3 citations), explores the use of ant colony algorithms (ACA) to optimize fuzzy logic controllers for autonomous robot coordination, showcasing his versatility in applying bio-inspired methods to robotics. Dr. Wang’s research bridges theoretical advancements in machine learning with practical implementations, offering valuable insights for students and researchers in artificial intelligence, pattern recognition, and autonomous systems. His work continues to influence developments in real-time recognition and intelligent control.