Papers
6
Total Citations
92
H-Index
4
About
Dr. Mei Choo Ang is a pioneering researcher whose work bridges the frontiers of computational intelligence, robotics, and human-robot interaction. Her research primarily focuses on evolutionary algorithms, multi-threading frameworks, and the application of TRIZ (Theory of Inventive Problem Solving) for engineering system evolution. Dr. Ang’s most impactful contribution is her comprehensive review on the Trend of Engineering System Evolution (TESE), which has garnered 43 citations and serves as a seminal resource for forecasting technological advancements and enhancing product development. She has also made significant strides in real-time visual object tracking by investigating the Threading Building Blocks framework (22 citations), and in robotics, she developed a minimum-time motion planning algorithm for robot arms using the Bees Algorithm (15 citations). Her recent work explores personalized emotion analysis through fuzzy multi-modal transformer models and emotional state transitions in human-robot interaction, pushing the boundaries of artificial empathy. With a career spanning from foundational principles of evolutionary algorithms in robotics (1997) to cutting-edge emotion simulation (2024), Dr. Ang’s research has accumulated over 90 citations, demonstrating her lasting impact on both theoretical and applied aspects of intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 3Minimum-time motion planning for a robot arm using the Bees Algorithm15 citations · 2009
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