Kamakhya Narain Singh
Assistant Professor
Dr. Kamakhya Narain Singh is working as Assistant Professor-II in the School of Computer Application, Kalinga Institute of Industrial Technology, Bhubaneswar. He has began his career in software industry as a Software Engineer in 2007 in Sofmen Technology, Indore. In 2009, joined as a Lecturer in College of Engineering, Bhubaneswar and taught Core Java, Data Structures and Advanced Java to B.Tech and MCA students. He also taught Advanced Java to M.Tech Students in Sambalpur University as Guest Faculty in 2009. In 2013, joined in SCA, Kalinga Institute of Industrial Technology, Bhubaneswar as Assistant Professor-I. He has completed his Ph.D from department of CS & IT, MSCB University, Baripada, M.Tech in CSE from JNTU Hyderabad and MCA from University of Hyderabad. He has been fortifying his academics with ongoing research on A Novel Robust ML based Framework of CDSS for new generation. With a lifetime membership of Indian Society for Technical Education, he is a D-LINK Certified trainer on DCT Switching and qualified UGC NET also. He has 18 years of industry and teaching experience behind him. He specializes in Programming Languages, Data Structures, Advanced Java, Sensor Networks, IoT, SC and ML. He has published many research papers in reputed international journals, international conferences and Book Chapters so far. He is a author of a text book entitled “A Text Book on Advanced Java” with SCITECH PUBLICATIONS also.
Profile Links
Email :
[email protected]
Scopus Id :
57195506937
Google Scholar :
https://scholar.google.com/citations?user=xzmKBZwAAAAJ&hl=en
Social Links
1. PhD in Computer Science & IT, MSCB University, Baripada. 2. Master of Technology (M.Tech in CSE) with distinction from JNTU, Hyderabad. 3. Master of Computer Application (MCA) from University of Hyderabad.
Projects
1. Design and Development of Energy Efficient Tribal Area Sensor and knowledge Network with special emphasis on IOT and 5G Networks Networks -Applied to SERB, DST. 2. Cloud and Blockchain based Healthcare Record System Analysis for COVID-19 Patients- Applied to ISSCR
Administrative Responsibility
Tutor Mentor
Awards & Honours
NET Qualified
Memberships
Indian Society for Technical Education
1. Singh, K. N., & Mantri, J. K. (2024). Clinical decision support system based on RST with machine learning for medical data classification. Multimedia Tools and Applications, 83(13), 39707-39730.
2. Singh, K. N., & Mantri, J. K. (2024). An intelligent recommender system using machine learning association rules and rough set for disease prediction from incomplete symptom set. Decision Analytics Journal, 11, 100468.
3. Singh, K. N., & Mantri, J. K. (2024). A clinical decision support system using rough set theory and machine learning for disease prediction. Intelligent Medicine, 4(3), 200-208.
4. Singh, K. N., Samui, A., Mukul, M., Misra, C., & Goswami, B. (2024, January). Usability Evaluation of E-Learning Platforms Using UX/UI Design and ML Technique. In 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) (pp. 1-6). IEEE.
5. Kumar, B., Kumari, V., & Singh, K. N. (2024, May). Integrating Natural Language Processing in Artificial Intelligence-Driven Online Spam Detection:“A Forward-Looking Perspective”. In 2024 5th International Conference for Emerging Technology (INCET) (pp. 1-7). IEEE.
6. S. Guha, A. Ghosh, K. N. Singh, C. Misra, S. Sudershana and B. Goswami, "Dual-Axis Solar Tracker: An Efficient Budgetfriendly Way to Utilize Solar Energy," 2024 International Conference on Computing, Sciences and Communications (ICCSC), Ghaziabad, India, 2024, pp. 1-6, doi: 10.1109/ICCSC62048.2024.10830356.
7. Karval, R., & Singh, K. N. (2023, December). Catching Silent Failures: A Machine Learning Model Monitoring and Explainability Survey. In 2023 OITS International Conference on Information Technology (OCIT) (pp. 526-532). IEEE.
8. Supriya, S., Singh, K. N., Goswami, B., Mukul, M., Samui, A., & Misra, C. (2023, December). Buddy App: Virtual Assistant For Old Aged And Visually Challenged People. In 2023 OITS International Conference on Information Technology (OCIT) (pp. 861-866). IEEE.
9. Singh, K. N., Mantri, J. K., & Kakulapati, V. (2022). Churn prediction of clinical decision support recommender system. In Ambient Intelligence in Health Care: Proceedings of ICAIHC 2022 (pp. 371-379). Singapore: Springer Nature Singapore.
10. Singh, K. N., & Mantri, J. K. (2022). Classifications of COVID-19 variants using rough set theory. In Ambient Intelligence in Health Care: Proceedings of ICAIHC 2022 (pp. 381- 389). Singapore: Springer Nature Singapore.
Books :
Singh, K. N., & Dash, R. K. (2019). A Text Book On Advanced Java in Scitech Publications