Prof. Neelamadhab Padhy

Department of Computer Science and Engineering

GIET University, India

Professor

Email: [email protected]; [email protected]

Qualifications

2019 D.Litt., Doctor of Letters, South Asian University, South Korea

2018 Ph.D., Computer Science and Engineering, Sri Satya Sai University of Technology and Medical Science, India

2009 M.Tech., Computer Science, Berhampur University, India

2003 M.Sc., Computer Application, Biju Patnaik Technical University, India

Publications (Selected)

1. Panigrahi, R., & Padhy, N. (2025). An effective steganographic technique for hiding the image data using the LSB technique. Cyber Security and Applications, 3, 100069.
2. Puajpanda, S., Mahapatra, D., Mishra, S., Padhy, N., & Panigrahi, R. (2025). Enhancing Predictive Accuracy in IoT-Based Smart Irrigation Systems: A Comparative Analysis of Advanced Ensemble Learning Models and Traditional Techniques for Soil Fertility Assessment. Engineering Proceedings, 87(1), 65.
3. Barik, B. R., Nayak, A., Biswal, A., & Padhy, N. (2025). Practical Evaluation and Performance Analysis for Deepfake Detection Using Advanced AI Models. Engineering Proceedings, 87(1), 36.
4. Behera, S., Padhy, N., Panigrahi, R., & Kuanar, S. K. (2025). Crop disease prediction using deep learning in a federated learning environment: Ensuring data privacy and agricultural sustainability. Procedia Computer Science, 254, 137-146.
5. Senapaty, M. K., Ray, A., & Padhy, N. (2024). Enhancing Soil Fertility Prediction Through Federated Learning on IoT-Generated Datasets with a Feature Selection Perspective. Engineering Proceedings, 82(1), 39.
6. Mahapatro, P. K., Panigrahi, R., & Padhy, N. (2024). Integrated Internet of Things and Artificial Intelligence System for Real-Time Multi-Nutrient Water Quality Analysis in Agriculture. Engineering Proceedings, 82(1), 72.
7. Krishna, P. A., Padhy, N., & Patnaik, A. (2024). Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification. Engineering Proceedings, 67(1), 73.
8. Kiran, P. S., Abhinaya, G., Sruti, S., & Padhy, N. (2024). A machine learning-enabled system for crop recommendation. Engineering Proceedings, 67(1), 51.
9. Sarangi, A., Raula, S. K., Ghoshal, S., Kumar, S., Kumar, C. S., & Padhy, N. (2024). Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment. Engineering Proceedings, 67(1), 31.
10. Senapaty, M. K., Ray, A., & Padhy, N. (2024). A decision support system for crop recommendation using machine learning classification algorithms. Agriculture, 14(8), 1256.
11. Das, N., Padhy, N., Dey, N., Paul, H., & Chowdhury, S. (2024). Exploring explainable AI methods for bird sound-based species recognition systems. Multimedia Tools and Applications, 83(24), 64223-64253.
12. Nayak, G. S., Mallick, P. K., Padhi, N., Mohanty, M. R., Kumar, S., & Balaji, P. (2024). Brain image segmentation with fuzzy entropy clustering and PSO-GWO optimization techniques. Intelligent Decision Technologies, 18(2), 1319-1336.
13. Padhy, N., Panigrahi, R., Patro, S. P., Swain, V. K., & Sahu, K. K. (2024, May). Integration of IoT and Machine Learning for Real-Time Monitoring and Control of Heart Disease Patients. In Proceedings (Vol. 105, No. 1, p. 32). MDPI.
14. Sahu, S., Padhy, N., Mohapatra, S., Patra, A., Kumar, A., & Choudhary, R. K. (2024, May). Educational Data Mining for Personalized Learning: A Sentiment Analysis and Process Control Perspective. In Proceedings (Vol. 105, No. 1, p. 77). MDPI.
15. Senapaty, M. K., Ray, A., & Padhy, N. (2024, March). State-of-the-art of soil mineral data extraction and crop recommendation using learning tools. In AIP Conference Proceedings (Vol. 2919, No. 1, p. 050015). AIP Publishing LLC.
16. Padhy, N. (2023). Predicting heart disease using sensor networks, the internet of things, and machine learning: a study of physiological sensor data and predictive models. Engineering Proceedings, 58(1), 73.
17. Apat, S. K., Mishra, J., Raju, K. S., & Padhy, N. (2023). An artificial intelligence-based crop recommendation system using machine learning. Journal of Scientific & Industrial Research (JSIR), 82(05), 558-567.

Profile Details

https://orcid.org/0000-0002-8512-3469

https://www.giet.edu/faculty/dr-neelamadhab-padhy/

https://www.researchgate.net/profile/Dr-Neelamadhab-Padhy/5
https://scholar.google.co.in/citations?user=KnVs8q4AAAAJ