M. I. H. Bhuiyan
Papers
1
Total Citations
13
H-Index
1
About
M. I. H. Bhuiyan is a researcher at the forefront of applying artificial intelligence and robotics to critical challenges in food quality assurance and sustainable agriculture. His key research areas encompass computer vision, deep learning, and automation, with a particular focus on enhancing food safety and agricultural productivity. Bhuiyan’s most notable contribution is the development of a novel framework for fish freshness detection, which integrates a Mask R-CNN deep learning model with a robotic arm and fisheye analysis to automatically identify and remove rotten fish. This work, published in 2024 and already garnering 13 citations, addresses a pressing economic and reputational need for major fish-exporting nations like Bangladesh, ensuring compliance with international quality standards. By automating a traditionally manual and subjective inspection process, his research offers a scalable, precise solution that can prevent trade disruptions and reduce food waste. Bhuiyan’s innovative approach, combining state-of-the-art object detection with practical robotics, positions him as a rising expert in AI-driven food technology, with his work promising significant impacts on both industry practices and consumer safety.
Research Focus
Key Achievements
Top Papers
- 1