Arabinda Samantaray

Papers

Total Citations

H-Index

About

Arabinda Samantaray is a researcher at the forefront of applying computer vision and robotics to environmental conservation, with a primary focus on combating the global crisis of harmful algal blooms (HABs). His work addresses a critical consequence of water pollution driven by population growth and industrial agriculture. Samantaray’s major contributions lie in developing intelligent, automated systems for both detection and remediation. His most cited paper, "Algae Detection Using Computer Vision and Deep Learning" (2018, 21 citations), pioneered a deep learning approach to identify and monitor algae proliferation in water bodies, enabling rapid response to ecological threats. Building on this, his subsequent work, "Computer Vision-based Algae Removal Planner for Multi-robot Teams" (2019, 10 citations), introduced a novel multi-robot task planner that coordinates autonomous teams to physically remove excessive algae, transforming detection into actionable cleanup. By integrating AI-driven visual analysis with cooperative robotics, Samantaray’s research offers a scalable, efficient solution to mitigate the devastating economic and environmental impacts of HABs on fisheries and drinking water supplies, marking a significant step toward autonomous environmental stewardship.