M. Gayanthika

Papers

Total Citations

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About

M. Gayanthika is an emerging researcher at the forefront of intelligent automation, whose work bridges the critical intersection of Robotic Process Automation (RPA) and Artificial Intelligence (AI). Her most-cited paper, "Robotic Process Automation in Artificial Intelligence" (2024), has already garnered 5 citations, signaling growing interest in her exploration of how AI technologies—including machine learning and natural language processing—can supercharge traditional RPA frameworks. Gayanthika’s major contribution lies in demonstrating how this symbiotic integration can streamline and optimize complex business processes, moving beyond simple task automation toward truly adaptive, cognitive workflows. Her research offers a practical roadmap for organizations seeking to harness AI’s analytical power within RPA’s structured environment, effectively reducing operational bottlenecks and enhancing decision-making. As a rising voice in the field, Gayanthika is shaping the next generation of intelligent systems, providing both theoretical foundations and actionable insights for students and practitioners alike. Her work promises to redefine efficiency in digital transformation, making her a researcher to watch in the evolving landscape of AI-driven automation.