Publications

Listed newest first, in Google Scholar order. DOIs link to each paper.

1. [33]
   R. Dhumpati et al., “Explainable Attention-Based Intrusion Detection for Encrypted 5G Network Traffic,” Discover Applied Sciences, 2026.

   DOI: Not available
2. [32]
   S. Gentyala, C. Srinivas, and R. Dhumpati, “A Zero-Trust Supply Chain Security Framework for Model Context Protocol–based AI Systems,” Proc. 5th Int. Conf. on Computer Networks, Big Data and IoT, 2026.

   DOI: 10.1109/ICCBI68589.2026.11619741
3. [31]
   R. Dhumpati et al., “Explainable AI for Personalized Diagnosis and Treatment Planning in Multi-Modal Healthcare Data,” IEEE IATMSI, Gwalior, India, 2026.

   DOI: 10.1109/IATMSI68868.2026.11465297
4. [30]
   R. Dhumpati et al., “Model Predictive Control for Resilient Islanded Microgrids Under Cyber-Physical Attacks,” IEEE IATMSI, Gwalior, India, 2026.

   DOI: 10.1109/IATMSI68868.2026.11466084
5. [29]
   R. Dhumpati et al., “A Literature Survey on Deep Learning and Explainable AI Approaches for Crop Disease Prediction,” Proc. Int. Conf. on Sustainable Communication Networks, 2025.

   DOI: 10.1109/ICSCN67106.2025.11308552
6. [28]
   R. Dhumpati et al., “Blockchain-Enabled Oracle-Based Transparent Insurance Model with Automated Payouts,” Proc. World Skills Conf. on Universal Data Analytics and Sciences, 2025.

   DOI: 10.1109/WorldSUAS66815.2025.11199097
7. [27]
   J. Kola et al., “A Multi-Layered Banking Security Framework Integrating AI, Biometric MFA, Hybrid Encryption, and Blockchain Auditability,” Proc. 3rd Int. Conf. on Sustainable Computing and Smart Systems, 2025.

   DOI: 10.1109/ICSCSS64956.2025.11500862
8. [26]
   R. Veeramani et al., “An Interpretable Stacking Ensemble Model AB-CBLC for High-Accuracy Lung Cancer Detection Using Clinical and Behavioral Data,” Proc. 8th Int. Conf. on Computing Methodologies, 2025.

   DOI: 10.1109/ICCMC65190.2025.11140773
9. [25]
   R. Dhumpati et al., “Secure Routing and Attack Detection in MANETs Using Depthwise Separable Convolutional Neural Networks,” Proc. 6th Int. Conf. on Data Intelligence and Cognitive Systems, 2025.

   DOI: 10.1109/ICDICI66477.2025.11135439
10. [24]
    R. Dhumpati et al., “Enhancing Sarcasm Detection in Sentiment Analysis for Cyberspace Safety Using Advanced Deep Learning Techniques,” Scientific Reports, vol. 15, no. 1, p. 22681, 2025.

    DOI: 10.1038/s41598-025-08131-x
11. [23]
    A. C. Nawalagatti et al., “Low-Latency Communication Protocol for 6G Systems Using Intelligent Edge-Enabled Routing and Traffic Forecasting,” Proc. 3rd Int. Conf. on Data Science and Information Systems, 2025.

    DOI: 10.1109/ICDSIS65355.2025.11071085
12. [22]
    R. Dhumpati et al., “Enhanced GAN-Assisted Intrusion Detection Model for Addressing Data Imbalance Issues,” Proc. 4th Int. Conf. on Distributed Computing and Electrical Systems, 2025.

    DOI: 10.1109/ICDCECE65353.2025.11035217
13. [21]
    V. U. Krishnan et al., “Employing Generative Adversarial Networks for Secure and Reliable Synthetic Data Generation in Cyber Security Applications,” Proc. 4th Int. Conf. on Distributed Computing and Electrical Systems, 2025.

    DOI: 10.1109/ICDCECE65353.2025.11035442
14. [20]
    N. Gurrapu et al., “Effective Summarization Techniques for Legal Document Analysis,” Proc. 4th Int. Conf. on Sentiment Analysis and Deep Learning (ICSADL), 2025.

    DOI: 10.1109/ICSADL65848.2025.10933012
15. [19]
    B. Kiranmayee et al., “Developing a Robust Intrusion Detection System Using SMOTE and Hybrid SVNN Model,” Proc. 4th Int. Conf. on Sentiment Analysis and Deep Learning (ICSADL), 2025.

    DOI: 10.1109/ICSADL65848.2025.10933456
16. [18]
    M. Bhonsle et al., “Enhancing Security in Wireless Mesh Networks: A Deep Learning Approach to Black Hole Attack Detection,” Advance Sustainable Science Engineering and Technology, vol. 7, no. 1, 2025.

    DOI: 10.26877/asset.v7i1.1036
17. [17]
    R. Dhumpati et al., “Enhancing Edge Computing with Machine Learning for Low-Latency Applications,” Proc. IEEE Int. Conf. on Advances in Computing Research, 2025.

    DOI: 10.1109/ACROSET66531.2025.11280761
18. [16]
    P. V. A. Raghu Dhumpati et al., “Analyzing the Vulnerability of Consumer IoT Devices to Sophisticated Phishing Attacks and Ransomware Threats in Home Automation Systems,” Journal of Intelligent Systems and Internet of Things, vol. 15, no. 1, pp. 53–63, 2025.

    DOI: 10.54216/JISIoT.150105
19. [15]
    F. Mohamad et al., “Attention-Guided CNN with LSTM for Temporal Gastrointestinal Disease Progression Prediction in Endoscopic Video Sequences,” Proc. 4th Int. Conf. on Mobile Networks and Wireless, 2024.

    DOI: 10.1109/ICMNWC63764.2024.10872364
20. [14]
    R. Dhumpati et al., “BowNetCrypt: Sleek Vaulted Messenger Secured by Bowerbird-Driven Finite Neural Messaging with Dual Elliptic Protection,” Proc. 5th Int. Conf. on Data Intelligence and Cognitive Computing, 2024.

    DOI: 10.1109/ICDICI62993.2024.10810934
21. [13]
    V. S. Raja et al., “Automated Heart Disease Diagnosis and Monitoring System Using Similarity-Navigated Graph Neural Networks with Leopard Seal Optimization in IoT Healthcare Applications,” Proc. 4th Int. Conf. on Sustainable Expert Systems (ICSES), 2024.

    DOI: 10.1109/ICSES63445.2024.10763192
22. [12]
    R. Dhumpati et al., “Efficient Detection of Multiple Lung Diseases from Chest CT Scans and Cough Sound Using a Simplicial Attention-Based Sparse Graph Convolutional Network,” Proc. 8th Int. Conf. on I-SMAC, 2024.

    DOI: 10.1109/I-SMAC61858.2024.10714875
23. [11]
    R. Dhumpati et al., “A Fuzzy Logic Approach for Efficient Control of BLDC Motors for Low-Cost Electric Two-Wheelers,” Nanotechnology Perceptions, vol. 20, no. 5, pp. 191–202, 2024.

    DOI: Not available
24. [10]
    D. Raghu, H. K. Tripathy, and R. Borreo, “A Novel Graph Convolutional Neural Networks (GCNNs)-Based Framework to Enhance the Detection of COVID-19 from X-Ray and CT Scan Images,” International Journal of Advanced Computer Science & Applications, vol. 15, no. 4, 2024.

    DOI: 10.14569/IJACSA.2024.0150473
25. [9]
    K. K. M. Bhonsle et al., “MED-LeafNet: Medicinal Leaf Classification and Identification Using CNN-LSTM Hybrid Approach,” African Journal of Biological Sciences, vol. 6, no. 5, pp. 9711–9732, 2024.

    DOI: 10.48047/AFJBS.6.5.2024.9711-9732
26. [8]
    R. Dhumpati and H. K. Tripathy, “CNN-GRU-Based Hybrid Approach for COVID-19 Detection Through Chest X-Ray Images,” Journal of Theoretical and Applied Information Technology, vol. 100, no. 14, pp. 5281–5291, 2022.

    DOI: Not available
27. [7]
    D. Raghu and H. K. Tripathy, “Medical Image Analysis Using Deep Learning Algorithm Convolutional Neural Networks,” in Computer Networks, Big Data and IoT, LNDECT, vol. 117, pp. 245–256, Springer, 2022.

    DOI: 10.1007/978-981-19-0898-9_19
28. [6]
    G. A. D. D. Raghu, “Chain Algorithm to Protect Datasets from Hackers,” International Journal of Computer Theory and Applications, vol. 10, no. 9, pp. 437–449, 2017.

    DOI: Not available
29. [5]
    R. D. and N. Prameela, “RDCT Software Experts for Healthy Software Products,” International Journal of Recent Advances in Engineering & Technology, vol. 3, no. 1, 2015.

    DOI: Not available
30. [4]
    G. P. S. V. Dumpati Raghu and P. Ratna Kumar, “3-Phase Parallel Model With Testing for MIS,” International Journal of Computer Science and Technology, vol. 4, no. 4, pp. 66–69, 2013.

    DOI: Not available
31. [3]
    G. P. S. V. Ch. Suresh Kumar, D. Raghu, and P. Ratna Kumar, “Addiction of Computer is Sabotage to Human Life,” International Journal on Advanced Computer Theory and Engineering, vol. 1, no. 1, pp. 121–128, 2012.

    DOI: Not available
32. [2]
    A. M. P. Ratna Kumar, R. D., and U. D., “Chronological Test Generation for Software Project SLoC,” International Journal of Computer Science & Technology, vol. 2, no. SP 1, pp. 117–121, 2011.

    DOI: Not available
33. [1]
    R. A. D. Raghu et al., “Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks,” International Journal of Computer Science & Technology, vol. 2, no. 1, p. 38, 2011.

    DOI: Not available