Karunya Rathan

Sathyabama Institute of Science and Technology

Papers

Total Citations

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About

Karunya Rathan is a researcher at the forefront of intelligent data fusion and decision-making systems. Her work primarily focuses on integrating uncertainty management with machine learning, particularly through the novel combination of Dempster–Shafer theory and adaptive neuro-fuzzy inference systems. In her most-cited paper, "Hybrid data fusion model for restricted information using Dempster–Shafer and adaptive neuro-fuzzy inference (DSANFI) system" (2019), Rathan introduced a pioneering hybrid framework that effectively handles restricted or incomplete information by fusing evidence-based reasoning with adaptive learning. This contribution has garnered 13 citations, reflecting its growing influence in fields such as cybersecurity, sensor data integration, and intelligent system design. Rathan’s research addresses critical challenges in information fusion, offering robust solutions for environments where data is uncertain or limited. Her work stands out for its practical applicability, bridging theoretical advances in evidential reasoning with real-world computational intelligence. As a researcher, Rathan continues to push boundaries in hybrid AI systems, making her a notable figure in the evolving landscape of data-driven decision support.