Thai Nguyen

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Thai Nguyen is a rising researcher in the field of computer vision and multimodal machine learning, with a primary focus on Human Action Recognition (HAR). His work addresses the critical challenge of understanding complex human behaviors from diverse data sources, aiming to enhance applications in healthcare monitoring, smart home systems, and human-robot interaction. Nguyen’s key contribution is the development of Mamba-MHAR (Mamba based Multimodal Human Action Recognition), an efficient framework that leverages state-space models to fuse multimodal data—such as video, skeletal, and inertial signals—for robust action classification. This innovative approach, published in 2025, has already garnered early citations, signaling its potential to advance real-time, resource-constrained HAR systems. By tackling the limitations of traditional transformer-based methods, Nguyen’s work offers a computationally lighter yet highly accurate solution, making it particularly valuable for deployment on edge devices. His research stands out for its practical orientation, bridging the gap between cutting-edge deep learning and real-world usability. As his citation count grows, Thai Nguyen is establishing himself as a promising voice in the next generation of human-centered AI.