View Profile

DR.C.UMARANI

Head-Department of Computer Science and Applications · Christ Academy Institute for advanced studies

https://researchid.co/umacrani
@caias.in
11Scopus Publications
89Google Scholar Citations
3Google Scholar h-index
2Google Scholar i10-index

Biography

Head Department of Computer Science and Applications Dr. C. Umarani is a distinguished academic and professional with over 21 years of experience in cybersecurity, information security, and network security. Her expertise spans several cutting-edge fields, including blockchain-based supply chain management and AI-driven process optimization, areas in which she has contributed innovative patents. Throughout her career, Dr. Umarani has published extensively in both national and international journals, covering topics such as intrusion detection systems and encryption techniques. In addition to her research and publications, Dr. Umarani has held several key leadership positions, including Head of the Department, Head In-charge, PG Coordinator, Placement Coordinator, and Mentoring Head. Her involvement in organizing conferences, workshops, and faculty development programs has earned her recognition as a respected resource person, particularly in the field of information security. As an ed

Education

MCA, MPhil, PhD

Recent Scopus Publications

  1. Uncovering Hidden Patterns: Association Rule Mining for Disease Detection and Treatment Planning in Healthcare
    AI Techniques for Association Rule Mining in Medical Data Trends and Practical Applications, 2026
  2. Innovations in Disease Forecasting and Modelling
    Plant Disease Management for Sustainable Agriculture, 2026
  3. Forensic Audit Trails and Biometric-Based Authentication
    Exploring the Intersection of Forensics and Biometrics, 2026
  4. Separating Operator Hippopotamus Optimization Algorithm with Support Vector Machine for Optimizing Intrusion Detection in Internet of Things
    4th IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2025, 2025
  5. Fault Detection using Opposition-based Learning Orca Predator Algorithm with Random Forest
    4th IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2025, 2025

Links