Mehrab Chowdhury
Papers
1
Total Citations
2
H-Index
1
About
Mehrab Chowdhury is a rising researcher at the intersection of computer vision, sustainable engineering, and artificial intelligence for environmental management. His primary research focuses on developing AI-driven solutions for electronic waste (e-waste) recycling, with a particular emphasis on automating the classification and disassembly of end-of-life electronics. Chowdhury’s most cited work, “An extensive photographic dataset to classify laptop components for automating e-waste management by recycling old laptops” (2024), addresses a critical bottleneck in circular economy efforts: the lack of high-quality, annotated visual data for training robotic systems to recognize and sort laptop parts across diverse brands and models. By curating and releasing this dataset, he has provided a foundational resource that enables more efficient, scalable, and safe recycling processes—potentially reducing the environmental harm caused by improper e-waste disposal. His contributions are particularly notable for bridging the gap between raw data collection and practical, deployable AI in waste management. With 2 citations already in a short time, his work is gaining traction among researchers in sustainable computing and automation. Chowdhury’s research exemplifies how targeted datasets and vision-based AI can transform waste streams into recoverable resources, making him a promising voice in the push for greener technology lifecycles.
Research Focus
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Top Papers
- 1