Geethamanikanta Jakka

University of the Cumberlands

Papers

1

Total Citations

2

H-Index

1

About

Geethamanikanta Jakka is an emerging researcher at the forefront of artificial intelligence and cybersecurity, with a specialized focus on machine learning-driven swarm intelligence for defense systems. His most cited work, "A Novel Machine Learning Unmanned Swarm Intelligence Based Data Security in Defence System" (2023), introduces groundbreaking algorithms that secure sensitive military data through autonomous, cooperative drone networks. Beyond defense, Jakka explores the civilian applications of AI, bridging the gap between theoretical algorithm development and real-world security challenges. His research critically examines how artificial intelligence calculations can be optimized for both battlefield resilience and everyday data protection. Though early in his career, with his flagship paper already garnering citations, Jakka’s contributions signal a significant step toward integrating intelligent, self-organizing systems into national security infrastructures. His work not only advances the technical frontier of swarm robotics but also raises important considerations for the ethical deployment of autonomous decision-making in high-stakes environments. For students and researchers, Jakka represents a new generation of technologists shaping the future of secure, AI-driven defense mechanisms.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Machine Learning Unmanned Swarm Intelligence Based Data Security in Defence System
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of the Cumberlands

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago