Papers
3
Total Citations
29
H-Index
3
About
S. Revathy is a researcher at the forefront of applying artificial intelligence and swarm intelligence to critical real-world challenges, particularly in disaster management and cybersecurity. Her work bridges the gap between theoretical soft computing and practical, large-scale system protection. Revathy’s most influential paper, “Swarm Intelligence in Disaster Recovery” (2021, 11 citations), explores how decentralized, nature-inspired algorithms can optimize unpredictable rescue and recovery operations, addressing the volatile nature of sudden catastrophes. She further extends this expertise in “A hybrid soft computing with big data analytics based protection and recovery strategy for security enhancement in large scale real world online social networks” (2022, 11 citations), where she pioneers a novel framework that integrates big data analytics with soft computing to fortify social networks against threats. Additionally, her comprehensive survey, “A survey of AI in industry: from basic concepts to industrial and business applications” (2023, 7 citations), serves as a vital resource, demystifying AI’s transformative role in automating mundane tasks and reshaping product development across sectors. With a growing citation footprint, Revathy’s contributions are pivotal for students and practitioners seeking robust, AI-driven solutions for societal resilience and digital security.
Research Focus
Key Achievements
Top Papers
- 1Swarm Intelligence in Disaster Recovery11 citations · 2021
- 2
- 3