Papers
2
Total Citations
67
H-Index
2
About
Dr. Cuong Pham is a leading researcher in autonomous robotics and human action recognition, whose work bridges the gap between intelligent machine learning and real-world interaction. His primary research areas include deep reinforcement learning for navigation and multimodal frameworks for understanding human behavior. Dr. Pham’s most influential contribution is his 2020 paper on incremental learning for autonomous mobile robot navigation, which has garnered 65 citations and demonstrates a novel approach to enabling robots to adapt continuously to dynamic environments without catastrophic forgetting. More recently, he has advanced the field of human action recognition (HAR) with his 2025 work introducing Mamba-MHAR, an efficient multimodal framework that leverages state-space models to process diverse sensor data for applications in healthcare monitoring, smart homes, and human–robot interaction. Though still early in its impact, this work signals a significant step toward more robust and computationally efficient HAR systems. Dr. Pham’s research is characterized by its practical orientation—solving real-world challenges in autonomy and perception—making him a notable figure for students and researchers interested in the intersection of reinforcement learning, robotics, and human-centered AI.
Research Focus
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Top Papers
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