M. F. Mridha

American International University-Bangladesh

Papers

Total Citations

H-Index

About

M. F. Mridha is a leading researcher in human–robot interaction, artificial intelligence, and computer vision, with a focus on developing adaptive, real-time systems that bridge the gap between human intent and machine response. His most cited work, “3D Gesture Recognition and Adaptation for Human–Robot Interaction” (2022, 15 citations), tackles a critical challenge in robotics: creating gesture detection systems that remain robust under varying lighting and background conditions. By proposing a novel 3D gesture recognition framework with adaptive learning capabilities, Mridha’s research enables more natural, intuitive communication between humans and robots, moving beyond traditional, environment-sensitive approaches. This contribution is particularly impactful for assistive robotics, manufacturing, and autonomous systems where reliable non-verbal interaction is essential. Beyond this flagship paper, his broader portfolio spans deep learning, pattern recognition, and intelligent systems, consistently emphasizing practical, deployable solutions. Mridha’s work has been recognized for its potential to advance human-centered automation, and his ongoing research continues to influence the design of responsive, context-aware robotic interfaces. For students and researchers, his studies offer a clear pathway from theoretical gesture recognition to real-world adaptation, underscoring the importance of robustness in interactive AI systems.