Trang Nguyen

Ho Chi Minh City Open University, National Research Tomsk State University

Papers

Total Citations

H-Index

About

Dr. Trang Nguyen is a researcher specializing in computer vision and robotics, with a focus on human-robot interaction and autonomous navigation. Her work bridges machine learning and real-world robotic applications, particularly in head pose estimation and simultaneous localization and mapping (SLAM). In her most cited paper, "Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network" (2019, 16 citations), she introduced a novel hybrid approach combining deep learning with gradient boosting to accurately determine head orientation—a critical cue for gaze estimation, behavior analysis, and human-computer interaction systems. This work demonstrates her ability to enhance machine understanding of human intent. Additionally, her research on "Tunable Computing Slam Navigation Environments" (2019, 3 citations) addresses the challenge of precise localization for unmanned and ground-based robots, proposing adaptive algorithms to correct discrepancies between onboard data and actual positions. While her citation counts are modest, Nguyen's contributions are foundational for developing more intuitive and reliable robotic systems, with potential applications in assistive technology, autonomous vehicles, and interactive AI. Her interdisciplinary approach positions her as an emerging voice in applied machine learning for robotics.