Mohammad Rifat Ahmmad Rashid
LINKS Foundation, East West University, University of Liberal Arts Bangladesh
Papers
5
Total Citations
37
H-Index
3
About
Mohammad Rifat Ahmmad Rashid is a researcher at the forefront of intelligent systems and applied AI, whose work spans dependable IoT architectures, computer vision, and robotic automation. He is best known for developing the BRAIN-IoT framework, a model-based approach for ensuring security and dependability in decentralized smart environments—a foundational contribution to modern Smart Building and Industry 4.0 ecosystems. His recent impactful work includes a novel system for fish freshness detection in Bangladesh, employing Mask R-CNN and robotic arms to automate quality control in the seafood export industry, directly addressing economic and trade challenges. Rashid has also advanced medical imaging with real-time ovary tumor detection using YOLOv5, and developed practical solutions for everyday safety, such as an obstacle-avoiding fire extinguishing robot. Further demonstrating his breadth, he has created an extensive photographic dataset for classifying laptop components, enabling AI-driven e-waste recycling. With over 37 citations across his most-cited works, Rashid’s research consistently bridges cutting-edge AI with real-world applications, from public health to environmental sustainability, establishing him as a versatile and impactful contributor to modern engineering.
Research Focus
Key Achievements
Top Papers
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- 3Unmasking Ovary Tumors: Real-Time Detection with YOLOv55 citations · 2023
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