Educational Qualifications

• Ph.D. in Computer Science and Engineering – Anna University, 2024
• M.E. in Computer Science and Engineering – Sathyabama University, 2012
• MBA in Systems – University of Madras, 2010
• B.Tech. in Information Technology – Adhiparasakthi Engineering College, Anna University, 2006
• DCT in Computer Technology – Meenakshi Krishnan Polytechnic, 2003

Professional Experience

• Currently working as Associate Professor at Navodaya Institute of Technology, Raichur since June 2025
• Over 17 years of academic experience across various reputed institutions including:
  1. Alliance University, Bangalore
  2. Nagarjuna College of Engineering and Technology, Bangalore
  3. Srinivas Institute of Technology, Mangalore
  4. Vel Tech Rangarajan Dr. Sagunthala R&D Institute, Chennai
  5. Sri Venkateswara College of Engineering & Technology, Chennai
  6. Thangavelu Engineering College, Chennai

Research Publications

Scopus/SCI Indexed Research Papers:

1. A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers
   – Automatika, 64:3, 550–564, 2023
2. Investigation of Task Scheduling in Cloud Computing by using Imperialist Competitive and Crow Search Algorithms
   – Procedia Computer Science, Vol. 230, Elsevier, 2023
3. Healthcare 4.0: A Review of Phishing Attacks in Cyber Security
   – Procedia Computer Science, Vol. 230, Elsevier, 2023
4. Lung Cancer Disease Prediction using Hybrid Subtractive Clustering Method
   – 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
5. Hybrid ANN-Based Model for Lung Cancer Disease Prediction
   – 2023 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)
6. Comparative Analysis of Dynamic Data Placement Strategy in Distributed Cloud
   – 2023 Springer Nature – International Conference on Data Engineering and Machine Intelligence (ICDEMI)

Conferences (International/National)

• Presented at ICEMSN 2023, ICMNWC 2023, ICDEMI 2023, and IATMSI 2024 on research in AI, cloud computing, cybersecurity, and healthcare systems.

Professional Memberships

• IRED – Associate Member (UACEE), Membership No: AM101000582632
• IAENG – Membership No: 196209
• ICSES Society – Member No: #2582
• International Association of Educators & Researchers – Member No: 180917

Faculty Development Programs (FDPs) Attended

• Topics include:

• 1. Teaching Techniques in Data Science (VTU-HRDC)
  2. Blockchain Analytics & Big Data
  3. Advanced Data Science and Applications
  4. Foundations of Machine Learning
  5. AI-Powered Smart Healthcare Systems
  6. Research Paradigms in AI
  7. Enhancing Supply Chain with AI
  8. Psychology and Innovation in Teaching