Tiong Yew Tang
Papers
5
Total Citations
17
H-Index
3
About
Dr. Tiong Yew Tang is a multidisciplinary researcher whose work bridges artificial intelligence, natural language processing, and cognitive robotics, with a particular focus on applications for aging societies. His research spans three key domains: intelligent automation in financial systems, bio-inspired optimization algorithms, and human-robot interaction for elderly care. In his 2023 paper on natural language processing for digital accounting, Dr. Tang developed a novel strategy to improve the classification of supplier invoices in ERP transaction processes, demonstrating how AI can streamline financial operations. His work on fuzzy spiking neural networks for abnormality detection in cognitive robot life-supporting systems addresses critical needs in Japan's aging population, proposing early warning systems that could detect life-threatening events like heart attacks or strokes. Dr. Tang has also contributed to evolutionary computation through his average edit distance bacterial mutation algorithm, which enhances optimization search performance in NP-hard problems. His bibliometric analysis of robotic process automation has helped map key topics and challenges in this rapidly growing field. With a total of 17 citations across his most-cited works, Dr. Tang's research continues to impact both theoretical computer science and practical applications in healthcare automation and elderly support systems.
Research Focus
Key Achievements
Top Papers
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