Dr Velpula Vijaya Kumar

Papers Published

1. Yechuri, S., Ramadevi, S., Anand, M., Velpula, V. K., Miriyala, G., & Siddhartha, V. (2026). Deep learning-based time-frequency attention network model for water-body segmentation. Engineering Proceedings, 124(1), 124.
2. Velpula, V. K., Surekha, J. N., Gowthami, N., Anuradha, S., & Vadlamudi, J. (2025). Efficient glaucoma detection through a custom CNN architecture on retinal fundus datasets. MDPI.
3. Velpula, V. K., Reddy, K. R., Prakash, K. N., Jasmine, K. P., & Jyothi Sri, V. (2025). Optimizing brain tumor classification: Integrating deep learning and machine learning with hyperparameter tuning. Engineering Proceedings, 87(1), 64.
4. Velpula, V. K., Vadlamudi, J. S., Janapati, M., Kasaraneni, P. P., Kumar, Y. V. P., et al. (2025). Enhanced brain tumor classification using convolutional neural networks and ensemble voting classifier for improved diagnostic accuracy. Computers and Electrical Engineering, 123, 110124.
5. Velpula, V. K., Prasad, S. V. S., Vadlamudi, J., Gurrala, S., Priya, A. V., & Srinidhi, K. (2025). Chilli leaf disease prediction system using deep learning model. In Proceedings of the International Conference on Emerging Smart Computing and Informatics.
6. Velpula, V. K., Prasad, S. V. S., Vadlamudi, J., Yechuri, S., Miriyala, G., & Kumar, M. (2024). Traffic sign recognition for automated speed control using deep learning. In Proceedings of the International Conference on Recent Trends in Microelectronics.
7. Velpula, V. K., Vadlamudi, J., Kasaraneni, P. P., & Kumar, Y. V. P. (2024). Automated glaucoma detection in fundus images using comprehensive feature extraction and advanced classification techniques. Engineering Proceedings, 82(1), 33.
8. Velpula, V. K., Sharma, D., Sharma, L. D., Roy, A., Bhuyan, M. K., Alfarhood, S., et al. (2024). Glaucoma detection with explainable AI using convolutional neural networks-based feature extraction and machine learning classifiers. IET Image Processing, 18(13), 3827–3853.
9. Yechuri, S., Vijay, V., & Laxma Reddy, D. (2024). Analysis of metamaterial integration effects on antenna structures. Journal of Physics: Conference Series, 2837(1), 012035.
10. Miriyala, G., Velpula, V. K., Yechuri, S., Sridhar, B., & Vinod, G. V. (2024). A survey on photonics and its applications. Journal of Physics: Conference Series, 2837(1), 012041.
11. Velpula, V. K., Sivaramakrishna, Y., Miriyala, G., & Geetha, Y. (2024). Pseudocapacitive materials: A critical examination of terminological perspectives. Journal of Physics: Conference Series, 2837(1), 012043.
12. Ponnrajakumari, M., Elanangai, V., Ramprasad, S. R., Velpula, V. K., et al. (2024). Assessing the efficacy of distributed ledger technology for immutable data logging and fraud prevention in IoT retail applications. In Proceedings of the International Conference on Advances in Computing Research on Science and Engineering.
13. Velpula, V. K., Vadlamudi, J., Kasaraneni, P. P., & Kumar, Y. V. P. (2024). Automated glaucoma detection in fundus images using comprehensive feature extraction and advanced classification techniques. Engineering Proceedings.
14. Velpula, V. K., Roy, A., Sharma, L. D., & Sharma, D. (2024). Fundus image datasets: A valuable resource for deep neural network-based glaucoma research. In Intelligent Computation and Analytics on Sustainable Energy and Environment.
15. Roy, A., Velpula, V. K., Sarihariharnadhareddy, A., Sharma, L. D., & Sharma, D. (2024). Implementation of image segmentation-based stages classification technique for glaucoma infected images. In Intelligent Computation and Analytics on Sustainable Energy and Environment.
16. Velpula, V. K., & Sharma, L. D. (2023). Automatic glaucoma detection from fundus images using deep convolutional neural networks and exploring networks behaviour using visualization techniques. SN Computer Science, 4(5), 487.
17. Velpula, V. K., & Sharma, L. D. (2023). Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion. Frontiers in Physiology, 14, 1175881.

Subjects Taught

Signals and Systems, Probability Theory and Stochastic Process, Digital Signal Processing, Electromagnetic Theory and Transmission Lines, Digital Logic Design

Books Published