Amina Afroz
Papers
1
Total Citations
4
H-Index
1
About
Amina Afroz is a pioneering researcher at the intersection of artificial intelligence and sustainable technology, whose work focuses on developing intelligent systems for environmental challenges. Her primary research areas span computer vision, deep learning, and IoT-enabled automation, with a particular emphasis on electronic waste management and resource recovery. Afroz's most notable contribution is the development of ElectroSortNet, a novel CNN-based architecture that revolutionizes e-waste classification and separation. This groundbreaking work, published in 2024, addresses the critical need for efficient recycling of electronic waste, which the United Nations Environment Programme notes contains 100 times more gold per tonne than gold ore. Her innovative approach combines advanced neural networks with IoT-driven separation systems, demonstrating how artificial intelligence can transform waste management into a resource recovery opportunity. With her work already garnering attention in the scientific community, Afroz is establishing herself as a leading voice in sustainable AI applications. Her research not only advances the field of computer vision but also provides practical solutions for one of the most pressing environmental challenges of our time, making her work essential reading for researchers interested in the convergence of machine learning and environmental sustainability.
Research Focus
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Top Papers
- 1