Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

Mr. Sathiyandrakumar Srinivasan | Cybersecurity | Editorial Board Member

Cheif Technology Officer | V2 Technologies Inc | United States

Dr. Sathiyandrakumar Srinivasan is an emerging researcher in artificial intelligence, cybersecurity, and intelligent systems, currently affiliated with the Kalasalingam Academy of Research and Education, Krishnankoil, India. His work focuses on IoT security, evolutionary computing, intrusion detection systems, and machine learning–driven optimisation, where he integrates computational intelligence with advanced security frameworks to address critical challenges in modern networked environments. He has authored 19 peer-reviewed publications in reputed international journals and conferences, demonstrating a strong interdisciplinary profile and innovative research approach. His scholarship includes the notable 2025 contribution, “Securing IoT Network with Hybrid Evolutionary Lion Intrusion Detection System: A Composite Motion Optimisation Algorithm for Feature Selection and Ensemble Classification,” which highlights his expertise in designing hybrid AI models for enhancing IoT resilience. Dr. Srinivasan has collaborated with more than 30 co-authors, reflecting his active engagement in the global research community and his commitment to collaborative, high-impact scientific inquiry. His work carries significant societal relevance, particularly in strengthening digital trust, securing smart infrastructures, and improving the safety and reliability of intelligent systems domains critical to present and future technological landscapes. Dr. Srinivasan’s academic influence and research productivity are reflected in his metrics 141 citations, 19 documents, and an h-index of 7.

Profile: Scopus

Featured Publication

Srinivasan, S., Author2, A., Author3, B., & Author4, C. (2025). Securing IoT network with hybrid evolutionary lion intrusion detection system: A composite motion optimisation algorithm for feature selection and ensemble classification. Journal of Experimental and Theoretical Artificial Intelligence, xx–xx.