Joy Biswas
Papers
1
Total Citations
13
H-Index
1
About
Dr. Joy Biswas is a researcher at the forefront of applying artificial intelligence and robotics to critical challenges in food safety and agricultural technology. Her primary research areas include computer vision, deep learning, and automated quality control systems. Dr. Biswas’s most notable contribution is the development of a pioneering framework for fish freshness detection, which integrates Mask R–CNN with a robotic arm and fisheye analysis to automatically identify and remove rotten fish. This work, published in 2024 and already garnering 13 citations, directly addresses the economic and reputational stakes for major fish-exporting nations like Bangladesh, ensuring compliance with international standards. By combining advanced object detection with physical automation, her research offers a scalable, real-world solution to prevent trade disruptions and economic losses. Dr. Biswas’s innovative approach demonstrates a powerful synergy between AI and robotics, positioning her as a key figure in the modernization of the global seafood supply chain and the broader field of intelligent food inspection systems.
Research Focus
Key Achievements
Top Papers
- 1