Nitesh Chouhan

Papers

Total Citations

H-Index

About

Nitesh Chouhan is an emerging researcher at the intersection of artificial intelligence, cybersecurity, and defense systems. His work focuses on developing novel machine learning frameworks for secure data management, with a particular emphasis on swarm intelligence and unmanned systems. Chouhan’s most cited paper, “A Novel Machine Learning Unmanned Swarm Intelligence Based Data Security in Defence System” (2023), explores how AI algorithms can be adapted from civilian applications to enhance military data security. This work provides a comprehensive overview of current and future possibilities for artificial intelligence in defense contexts, bridging the gap between theoretical AI development and practical security implementations. While still early in his career, with his primary paper accumulating 2 citations, Chouhan’s research addresses critical challenges in protecting sensitive information within autonomous swarm networks. His contributions are particularly relevant as defense systems increasingly rely on unmanned technologies and require robust, intelligent security protocols. Chouhan’s work represents an important step toward integrating advanced machine learning techniques into national security infrastructure, offering pathways for both academic researchers and practitioners working on next-generation defense mechanisms.