Sparsh Mittal

Indian Institute of Technology Roorkee, Chandigarh University

Papers

Total Citations

130

H-Index

About

Sparsh Mittal is a leading researcher at the intersection of deep learning and environmental monitoring. His primary research areas include computer vision, particularly for underwater and agricultural applications, and the Internet of Things (IoT) for smart systems. Mittal’s most impactful contribution is his comprehensive survey on deep learning techniques for underwater image classification, which has garnered 123 citations. This work systematically reviews methods for identifying marine objects—from fish and plankton to coral reefs and submarines—highlighting its critical role in assessing water body health. His research provides a foundational resource for advancing automated marine biodiversity analysis and underwater surveillance. Additionally, Mittal explores the integration of IoT in agriculture, addressing implementation challenges and potential benefits for smart farming. His notable achievement includes synthesizing vast, fragmented literature into accessible frameworks that guide both novices and experts. Through these contributions, Mittal has established himself as a key figure in applying AI to solve pressing environmental and agricultural challenges, making his work essential reading for students and researchers in deep learning and applied IoT.