Dr Chhaya Nayak
Editorial Board Member
Name: Dr. Chhaya Nayak
Affiliation:
Assistant Professor, Department of Artificial Intelligence & Data Science,
Pimpri Chinchwad College of Engineering (PCCOE), Pune, India
Address:
D.Y. Patil Educational Complex, Sector 29,
Nigdi Pradhikaran, Akurdi, Pune, Maharashtra
Pin - 411044
Email: ✉️ [email protected]
Academic Profiles:
Professional Overview
Dr. Chhaya Nayak is an academician and researcher with over 16+ years of teaching and research experience in the domains of Cyber Security, Machine Learning, Biometrics, and Network Systems. She is currently serving as an Assistant Professor in the Department of Artificial Intelligence and Data Science at Pimpri Chinchwad College of Engineering (PCCOE), Pune.
Her research contributions include cryptographic algorithm analysis, AI-driven web security frameworks, biometric authentication using palmprint recognition techniques (DWT, DCT, PCA), MANET routing protocol evaluation, and applied machine learning models in healthcare diagnostics and intelligent monitoring systems. She actively contributes to interdisciplinary research integrating secure computing principles with intelligent data-driven solutions.
Research Interests
- Cyber Security and Web Security
- Cryptography and Secure Communication Systems
- Machine Learning and Deep Learning Applications
- Biometric Authentication and Palmprint Recognition
- Pattern Recognition and Image Processing
- Network Security and MANET Routing Protocols
- Artificial Intelligence in Healthcare and Mental Health Analytics
- IoT-based Smart Monitoring and Control Systems
Education
Ph.D. in Computer Science
M.E. / M.Tech. in Computer Science
B.E. / B.Tech. in Computer Science
Selected Publications & Contributions
Dr. Nayak has authored and co-authored research papers in areas including cryptography performance evaluation, AI-based cyber security enhancement, palmprint biometric identification systems, machine learning-driven healthcare prediction models, IoT-enabled smart monitoring frameworks, and blockchain-based counterfeit detection systems. Her work emphasizes secure, scalable, and intelligent technological solutions for real-world challenges.
Last Updated: 24 February 2026