Minh Thanh Vo
Duy Tan University, Ho Chi Minh City International University
Papers
2
Total Citations
20
H-Index
2
About
Dr. Minh Thanh Vo is a researcher at the forefront of human-computer interaction and intelligent robotics, with a specialized focus on machine perception and real-time control systems. His primary research areas include head pose estimation, human motion detection, and FPGA-based robotic control. Dr. Vo’s most notable contribution is his pioneering work on robust head pose estimation, where he developed a novel approach combining Extreme Gradient Boosting Machine with Stacked Autoencoders Neural Network. This work, published in 2019 and garnering 16 citations, addresses a critical challenge in enabling machines to understand human intent—a fundamental requirement for applications ranging from gaze estimation to behavioral analysis. Additionally, Dr. Vo has made significant strides in telerobotics through his design of a real-time robot control system that leverages upper human body motion detection on FPGA platforms. His work bridges the gap between theoretical computer vision and practical, embedded system implementation. With applications spanning video processing, sports analytics, and biometrics, Dr. Vo’s research continues to push the boundaries of how machines perceive and interact with humans in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2