Sanjeevi Pandian
Papers
1
Total Citations
9
H-Index
1
About
Dr. Sanjeevi Pandian is a leading researcher at the intersection of artificial intelligence, cybersecurity, and ontology engineering. His work focuses on developing intelligent, secure systems for modern workplaces, particularly through the integration of meta-heuristic optimization and robotic process automation. His most cited paper, "Meta-Heuristic Feature Optimization for ontology-based data security in a campus workplace with robotic assistance" (2021, 9 citations), addresses a critical challenge in secure text mining: the "curse of dimensionality" and the lack of semantic knowledge in traditional vector space models. By combining ontology-based semantic representation with meta-heuristic feature selection, Dr. Pandian’s approach enhances both the accuracy and security of data processing in robotic-assisted environments. This work has direct implications for smart campuses and automated workplaces, where efficient, secure data handling is paramount. Dr. Pandian’s research is notable for bridging theoretical optimization methods with practical, real-world security applications, making him a key figure in the evolution of intelligent, ontology-driven cybersecurity systems.
Research Focus
Key Achievements
Top Papers
- 1