Ranju Mandal

Papers

Total Citations

103

H-Index

About

Ranju Mandal is a researcher whose work spans computer vision, deep learning, and intelligent document processing, with particular focus on applying machine learning techniques to real-world scientific and practical challenges. Perhaps most notably, Mandal has made significant contributions to marine biology through the development of automated fish abundance assessment systems using deep neural networks. This pioneering work, which addresses the time-intensive burden of manual underwater video analysis, has garnered considerable attention from the scientific community, accumulating nearly 90 citations across publications — a testament to its relevance at the intersection of artificial intelligence and marine ecology. By enabling cost-effective, automated quantification of fish diversity and abundance from underwater footage, Mandal's research offers a transformative tool for marine biologists seeking scalable monitoring solutions. Beyond marine applications, Mandal has also contributed to the field of document intelligence, with work on multi-lingual date field extraction aimed at improving automatic document retrieval systems — demonstrating a broader interest in pattern recognition and information extraction. Together, these contributions reflect a researcher committed to leveraging machine learning for impactful, cross-disciplinary solutions.