AKM B. Hossain

University of Bisha, University of Technology Malaysia

Papers

Total Citations

H-Index

About

AKM B. Hossain is a researcher specializing in computer vision and autonomous robotics, with a primary focus on camera localization and navigation for indoor environments. His work bridges deep learning and robotic perception, particularly through the application of recurrent neural networks (RNNs) to solve complex spatial reasoning tasks. Hossain’s most cited paper, a 2023 review on RNN-based camera localization (42 citations), provides a comprehensive synthesis of methods for estimating camera pose from single or sequential images—a critical capability for applications like robot navigation and augmented reality. He has also conducted rigorous performance evaluations of RNNs for indoor camera localization (2022, 8 citations), highlighting the challenges of scaling these models to large image datasets. In his 2024 work on self-localization of guide robots (4 citations), Hossain applies image classification to assistive robotics, aiming to support visually impaired individuals through autonomous navigation. His contributions are notable for advancing practical, deep-learning-driven solutions that enhance the reliability of indoor localization systems, with clear implications for real-world robotic assistance and spatial AI.