Mohammad Kamrul Hasan
National University of Malaysia, International Islamic University Malaysia
Papers
6
Total Citations
159
H-Index
5
About
Mohammad Kamrul Hasan is a researcher at the forefront of artificial intelligence and robotics, with a primary focus on computer vision, deep learning, and intelligent automation. His most impactful work, "Underwater Fish Detection and Counting Using Mask Regional Convolutional Neural Network" (60 citations), addresses a critical bottleneck in aquaculture by replacing manual counting with a sophisticated deep-learning approach, significantly advancing precision fish farming. Hasan also made notable contributions to pandemic-resilient healthcare through his 2024 paper (42 citations), which integrates Narrowband Internet of Things (NB-IoT) and edge intelligence for real-time monitoring and robotic disinfection. His research extends to robot vision with "PackerRobo" (34 citations), a model-based self-supervised learning framework that enhances human-robot coordination in complex environments. Additionally, Hasan has explored foundational concepts in mathematics, such as the golden ratio, and advanced 3D object detection techniques, demonstrating versatility across theoretical and applied domains. With over 150 total citations, his work bridges practical engineering challenges—like motor design for robotics—and cutting-edge AI, making him a key contributor to smart, autonomous systems in agriculture, healthcare, and manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
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- 3PackerRobo: Model-based robot vision self supervised learning in CART34 citations · 2022
- 4Golden Ratio, the Phi, and Its Geometrical Substantiation14 citations · 2011
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