Papers
16
Total Citations
144
H-Index
7
About
Thanh-Phong Dao is a prolific researcher specializing in compliant mechanisms, precision robotics, and computational optimization — fields that sit at the intersection of mechanical engineering, biomedical applications, and intelligent systems. His work has made significant contributions to the design and optimization of flexure-based mechanisms, compliant grippers, and assistive devices for physically disabled individuals, consistently advancing methodologies that overcome traditional limitations such as friction, backlash, and complex assembly. Dao is particularly recognized for pioneering hybrid computational approaches that combine finite element methods (FEM), metaheuristic algorithms, fuzzy logic, and machine learning techniques — including ANFIS, neural networks, and multi-objective genetic algorithms — to achieve robust, multi-response optimal designs. His development of compliant planar springs and flexure elbow joints for upper-limb assistive devices reflects a strong commitment to socially impactful engineering. His comprehensive review papers on compliant grippers for micromanipulation have become valuable reference works within the robotics community, accumulating notable citations since 2024. With his most-cited work garnering 28 citations and a growing body of research across robotics, biomedical engineering, and micro-manipulation systems, Dao continues to shape modern approaches to intelligent mechanical design synthesis and precision automation.
Research Focus
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