Prerna Siddharth Patil
Papers
1
Total Citations
2
H-Index
1
About
Prerna Siddharth Patil is an emerging researcher at the intersection of artificial intelligence, cybersecurity, and defense technology. Her work focuses on developing novel machine learning frameworks for secure data transmission, with a particular emphasis on swarm intelligence and unmanned systems. In her most cited paper, "A Novel Machine Learning Unmanned Swarm Intelligence Based Data Security in Defence System" (2023), Patil explores the dual-use potential of AI algorithms—bridging civilian applications with critical military infrastructure. She provides a comprehensive overview of how artificial intelligence calculations can enhance data security in defense environments, addressing both current capabilities and future possibilities. While her citation count is still growing, her research represents an important step toward integrating autonomous swarm intelligence with robust cybersecurity measures. Patil’s work contributes to the broader conversation on ethical AI deployment in national security contexts, highlighting the need for secure, intelligent systems that can operate in complex, high-stakes environments. Her interdisciplinary approach positions her as a promising voice in the evolving field of AI-driven defense technologies.
Research Focus
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Top Papers
- 1