Mr. Suvendu Kumar Nayak
Qualifications
M.Tech. Ph.D.(Thesis Submitted)
What subject you teach at SSU?
Cyber Security and Digital Forensic
Interests
Research Innovation Technology
Other Accomplishments
AWS Certified Cloud Practitioner RHCSA Certification PBL Pedagogical Development Certificate Program for India (2024) Aalborg University, Denmark
Journals
1. Nayak, S. K., Garanayak, M., Swain, S. K., Panda, S. K., & Godavarthi, D. (2023). An Intelligent Disease Prediction and Drug Recommendation Prototype by Using Multiple Approaches of Machine Learning Algorithms. IEEE Access.
2. Nayak, S. K., Garanayak, M., & Swain, S. K. (2024). A predictive prototype for the identification of diseases relied on the symptoms described by patients. EAI Endorsed Transactions on Pervasive Health and Technology, 10.
3. Garanayak, M., Nayak, S. K., Sangeetha, K., Choudhury, T., & Shitharth, S. (2022). Content and Popularity-Based Music Recommendation System. International Journal of Information System Modeling and Design (IJISMD), 13(7), 1-14.
4. Nayak, S. K., Garanayak, M., & Swain, S. K. , Paikaray, B. K., A Prototype for Intelligent Diet Recommendations by Considering Disease and Medical Condition of the Patient, ISSN: 1751-2018, Volume: 18, No.6, Int. J. Business and Systems Research 2024.
5. Nayak, S. K., Swain, S. K., Mohanta, B. K., & Paikaray, B. K. (2022, December). Secure Framework for Data Leakage Detection and Prevention in IoT Application. In 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) (pp. 1-6). IEEE.
6. Nayak, S. K., & Ojha, A. C. (2020). Data leakage detection and prevention: Review and research directions. Machine Learning and Information Processing: Proceedings of ICMLIP 2019, 203-212.
7. Paikaray, B. K., Nayak, S. K., Pramanik, J., Thapa, R., Swain, D., & Samal, A. K. (2023, December). Application of ensemble learning in predicting heart failure. In AIP Conference Proceedings (Vol. 2981, No. 1). AIP Publishing.