M. A. Parvez Mahmud
Papers
2
Total Citations
58
H-Index
2
About
M. A. Parvez Mahmud is a robotics researcher whose work sits at the intersection of intelligent control systems and rehabilitation engineering. His most-cited paper, "A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade" (2020, 46 citations), provides a comprehensive analysis of how reinforcement learning (RL) is transforming robotic control in the era of the Fourth Industrial Revolution. This review has become a key reference for researchers exploring RL's potential to enable more autonomous and adaptive robots. Mahmud also contributes to biomedical robotics, as demonstrated in his work "Investigation of 2DOF PID Controller for Physio-Therapeutic Application for Elbow Rehabilitation" (2021, 12 citations), where he developed a two-degree-of-freedom PID controller to precisely control elbow flexion and extension in upper-limb rehabilitation robots. This research addresses the growing demand for effective, automated physiotherapy solutions. By bridging advanced control theory with practical rehabilitation needs, Mahmud's work supports the development of smarter, more responsive robotic systems that can improve patient outcomes. His research continues to inform both the theoretical foundations and real-world applications of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2