Anirudh Shankar

M S Ramaiah University of Applied Sciences

Papers

Total Citations

H-Index

About

Anirudh Shankar is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, robotics, and cybersecurity. His research focuses on developing intelligent systems capable of detecting and classifying threats in robotic and cyber environments, with particular emphasis on how machine learning techniques can be leveraged to strengthen security frameworks across IoT-enabled platforms. Shankar's most-cited contribution, "Robotic and Cyber-Attack Classification Using Artificial Intelligence and Machine Learning Techniques" (2024), addresses the growing vulnerability of robotic systems deployed in critical sectors such as healthcare, agriculture, military, and disaster response — earning 7 citations since its publication. Complementing this, his analysis of Robotic Process Automation explores how software-driven automation is reshaping modern business operations, demonstrating his breadth across both security and enterprise technology domains. His work on "Artificial Intelligence for Defence" (2023) further highlights his interest in applying AI and machine learning to high-stakes environments, including military and blockchain applications. Though early in his research career, Shankar has already accumulated 14 citations across a focused body of work, positioning him as a promising voice in AI-driven security and automation — fields of rapidly growing global importance.