Prof. Nageswara Rao Moparthi

Amrita Vishwa Vidyapeetham, India

Email: [email protected]

Qualifications

2016 Ph.D., Sri Krishandevaray University, India

2010 M.Tech., Acharya Nagarjuna University, India

1997 M.Sc., Bharatidasan University, India

1995 B.Sc., Acharya Nagarjuna University, India

Publications (Selected)

1. Das, S. K., Bhuyan, P., & Moparthi, N. R., et al. (2026). A lightweight shallow convolution neural network for automatic identification of Diabetic Foot Ulcers. Image and Vision Computing, 105925.
2. Bhutnal, V., & Moparthi, N. R. (2025). Diabetic retinopathy classification using lightweight retinal features extraction from fundus images. Multimedia Tools and Applications, 84(42), 50827–50848.
3. Agrawal, M., & Moparthi, N. R. (2025). RETRACTED: A hybrid multi-source data fusion for word, sentence, aspect, and document-level sentiment analysis on real-time databases. Journal of Intelligent & Fuzzy Systems, 49(1_suppl), 354–364.
4. Chamarthy, S., Moparthi, N. R., & Rao, K. R., et al. (2025). Privacy preservation of genomic and medical data. Asian Journal of Biological and Life Sciences, 14(3), 747–757.
5. Datta, S., Namasudra, S., & Moparthi, N. R., et al. (2025). Transforming healthcare with artificial intelligence and blockchain: A secure, transparent and energy‐efficient approach. Expert Systems, 42(8), e70101.
6. Bhutnal, V., & Moparthi, N. R. (2025). IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model. Multimedia Tools and Applications, 84(18), 20047–20078.
7. Das, S. K., Moparthi, N. R., & Namasudra, S., et al. (2025). A smart healthcare system using consumer electronics and federated learning to automatically diagnose diabetic foot ulcers. International Journal of Interactive Multimedia and Artificial Intelligence.
8. Namasudra, S., Das, S., & Crespo, R. G., et al. (2024). DrugBlock: An advanced system to secure drug supply chain using internet of things and blockchain-enabled consumer electronics. IEEE Transactions on Consumer Electronics, 71(2), 4497–4507.
9. Kumar, P., Rahman, M., & Namasudra, S., et al. (2024). Enhancing security of medical images using deep learning, chaotic map, and hash table. Mobile Networks and Applications, 29(5), 1489–1503.
10. Murmu, A., Kumar, P., & Moparthi, N. R., et al. (2024). Reliable federated learning with GAN model for robust and resilient future healthcare system. IEEE Transactions on Network and Service Management, 21(5), 5335–5346.
11. Namasudra, S., Dhamodharavadhani, S., & Rathipriya, R., et al. (2024). Enhanced neural network-based univariate time-series forecasting model for big data. Big Data, 12(2), 83–99.
12. Kumar, S., Moparthi, N. R., & Bhola, A., et al. (2024). Advances in aerial sensing and imaging. John Wiley & Sons.
13. Agrawal, M., & Moparthi, N. R. (2024). An efficient aspect-based sentiment classification with hybrid word embeddings and CNN framework. International Journal of Sensors Wireless Communications and Control, 14(1).
14. Kumar, A., Singh, N. H., & Namasudra, S., et al. (2024). Traffic matrix estimation using matrix-CUR decomposition. Computer Communications, 217, 200–207.
15. Jain, A., Moparthi, N. R., & Swathi, A., et al. (2024). Deep learning-based mask identification system using ResNet transfer learning architecture. Computer Systems Science and Engineering, 48(2), 341–362.
16. Rahman, M., Murmu, A., & Kumar, P., et al. (2024). A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems. Journal of Information Security and Applications, 80, 103677.
17. Sravanthi, G., & Moparthi, N. R. (2024). Dual interactive Wasserstein generative adversarial network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT. Cluster Computing, 27(1), 931–944.
18. Sravanthi, G., & Moparthi, N. R. (2023). An efficient and multi-tier node deployment strategy using variable tangent search in an IOT-fog environment. Journal of Interconnection Networks, 23(04), 2350004.
19. Das, S. K., Namasudra, S., & Kumar, A., et al. (2023). AESPNet: Attention enhanced stacked parallel network to improve automatic diabetic foot ulcer identification. Image and Vision Computing, 138, 104809.
20. Agrawal, M., & Moparthi, N. R. (2023). An efficient multiple-word embedding-based cross-domain feature extraction and aspect sentiment classification. Measurement: Sensors, 28, 100851.