Kamrul Hasan Talukder

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About

Kamrul Hasan Talukder is a rising researcher at the forefront of applying deep learning to solve real-world challenges in computer vision and autonomous systems. His primary research areas span underwater object detection, Bengali text extraction from natural scenes, and intelligent robotic perception. Talukder’s most impactful work, “Under Water Objects Detection and Classification using Deep Learning Technique” (2024, 6 citations), pioneers the integration of deep neural networks with autonomous underwater robots for real-time marine object identification—a critical advancement for ocean exploration, fisheries management, and ecological monitoring. He has also made significant contributions to document analysis and assistive technology through his development of an efficient ROI detection algorithm for Bangla text extraction from natural scene images (2022, 4 citations), which has direct applications in license plate recognition, robot navigation, and aiding visually impaired individuals. His earlier work on CNN-based Bangla text recognition (2020, 3 citations) laid the groundwork for these advances. With a growing citation footprint and a focus on bridging deep learning with practical, socially beneficial applications, Talukder is establishing himself as a promising voice in applied AI and computer vision.