Pham Minh Tam
Papers
1
Total Citations
3
H-Index
1
About
Dr. Pham Minh Tam is a rising researcher in the field of autonomous robotics and computer vision, with a focused interest in efficient, real-time object detection for self-driving systems. His most notable contribution is the development of the "ODAR" framework, a lightweight object detection architecture specifically designed for autonomous driving robots. This work addresses the critical challenge of balancing detection accuracy with computational efficiency, enabling resource-constrained robotic platforms to perceive their environment in real-time. While his citation count is still growing, with his flagship 2021 paper receiving 3 citations, Dr. Tam’s research is positioned at the intersection of deep learning and practical robotics, targeting applications from video surveillance to automated payment systems. His work represents an important step toward making autonomous navigation more accessible and deployable in everyday scenarios, and he continues to explore methods for optimizing neural network architectures for embedded robotic systems.
Research Focus
Key Achievements
Top Papers
- 1