Md. Jakir Hossen

Multimedia University, Artificial Intelligence in Medicine (Canada)

Papers

Total Citations

H-Index

About

Md. Jakir Hossen is a researcher at the forefront of intelligent systems and real-time robotics, with a growing impact in computer vision and autonomous navigation. His early work on a modified hybrid fuzzy controller for mobile robot navigation (2015, 6 citations) addresses a critical limitation in multi-sensor environments, pioneering fuzzy hybridization techniques that enhance decision-making under uncertainty—a foundational contribution to adaptive robotics. More recently, Hossen has advanced deep learning-based object detection with his optimized YOLOv8x model (2025, 3 citations), which tackles persistent challenges like occlusions and variable lighting in indoor settings. By systematically evaluating YOLOv8 variants from nano to extra-large, he achieved a balance of speed and accuracy, offering a deployable solution for real-world applications. His work bridges classical control theory and modern AI, demonstrating versatility across decades of research. With a focus on practical, efficient systems, Hossen’s contributions are poised to influence autonomous navigation and smart environment technologies, making him a notable figure in the evolution of intelligent perception and control.