M. Rubaiyat Hossain Mondal
Papers
2
Total Citations
26
H-Index
2
About
Dr. M. Rubaiyat Hossain Mondal is a leading researcher at the intersection of artificial intelligence, the Internet of Health Things (IoHT), and medical image analysis. His work addresses critical challenges in healthcare, from pandemic response to precision radiation therapy. Dr. Mondal’s highly cited review, “Applications and challenges of AI-driven IoHT for combating pandemics,” with 19 citations, provides a foundational framework for leveraging interconnected sensors and AI to monitor patient health and diagnose diseases during global health crises. In the domain of medical imaging, he introduced UDBRNet, a novel uncertainty-driven boundary refined network for organ-at-risk segmentation. This work, garnering 7 citations, tackles the difficult problem of automatically segmenting organs with inconsistent shapes and low contrast, a task vital for computer-aided surgery and radiation therapy. By combining IoHT with advanced deep learning segmentation techniques, Dr. Mondal is pioneering more robust, automated, and intelligent healthcare systems, making significant contributions to both pandemic preparedness and precision medicine.
Research Focus
Key Achievements
Top Papers
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