Papers
6
Total Citations
142
H-Index
6
About
Dr. Dac-Nhuong Le is a leading researcher at the intersection of robotics, control systems, and assistive technologies, with a primary focus on developing intelligent systems for rehabilitation and environmental monitoring. His most impactful work centers on the design of advanced control strategies for wheelchair upper-limb exoskeleton robots, aimed at restoring mobility and independence for people with disabilities. In a series of highly cited papers (2022), Dr. Le pioneered the use of fuzzy logic, adaptive neural networks, and fixed-time sliding mode control to achieve precise, robust position tracking under external disturbances and model uncertainties. His innovative approach, including the use of state observers for fixed-time convergence, has garnered significant attention, with his top-cited paper on a smart surveillance robot for industrial applications accumulating over 50 citations. Beyond robotics, Dr. Le has contributed a comprehensive review of semiconductor gas sensors for environmental monitoring and, most recently, explored sign language recognition using attention-driven deep learning networks (C3D-BiLSTM). His work is distinguished by its direct translational impact, aiming to create practical, real-time systems that enhance human capability and safety.
Research Focus
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Top Papers
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