Research Publications 2024-2025
| Papers Published in Journals |
|---|
| Y. Vivek, V. Ravi & P. R. Krishna. Quantum-inspired evolutionary algorithms for feature subset selection: a comprehensive survey. QUANTUM INFORMATION PROCESSING, 24, 196 (2025) https://doi.org/10.48550/arXiv.2407.17946 |
| S. Kumar, Y. Vivek, V. Ravi, and I. Bose. A Comprehensive Review of Causal Inference in Banking, Finance, and Insurance”, ACM COMPUTING SURVEYS, 57, 12 (2025) https://dl.acm.org/doi/10.1145/3736752 |
| S. Yadav, V. Ravi, S. Kalyanakrishnan. “Hybrids of Reinforcement Learning and Evolutionary Computation in Finance: A Survey.” ACM COMPUTING SURVEYS, 57, 10, (2025). https://dl.acm.org/doi/10.1145/3728634 |
| Y. Vivek, V. Ravi, P. Radha Krishna. “Feature subset selection for big data via parallel chaotic binary differential evolution and feature-level elitism.” COMPUTERS AND ELECTRICAL ENGINEERING 123 (2025): 110232. https://dl.acm.org/doi/10.1145/3728634 |
| Y. Vivek, V. Ravi, P. Radha Krishna. “Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation.” SWARM AND EVOLUTIONARY COMPUTATION 94 (2025): 101896. doi: https://www.sciencedirect.com/science/article/abs/pii/S2210650225000549 |
| Y. Vivek, V. Ravi, P. Radha Krishna. “Parallel fractional dominance MOEAs for feature subset selection in big data.” SWARM AND EVOLUTIONARY COMPUTATION 91 (2024): 101687. doi: https://www.sciencedirect.com/science/article/abs/pii/S2210650224002256 |
| Y. Vivek, P.S.K. Prasad, V. Madhav, R. Lal, V. Ravi. “Optimal Technical Indicator Based Trading Strategies Using Evolutionary Multi Objective Optimization Algorithms.” Computational Economics (2024): 1-51. doi: https://link.springer.com/article/10.1007/s10614-024-10701-6 |
| AA Ram, S Yadav, Y Vivek, V Ravi, Deep Reinforcement Learning for Financial Forecasting in Static and Streaming Cases, JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2450080, (2024)., doi: https://www.worldscientific.com/doi/10.1142/S0219649224500801 |
| E. H. Venkatesh, Y. Vivek, V. Ravi and O. S. Shankar. “Parallel and streaming wavelet neural networks for classification and regression under apache spark.” CLUSTER COMPUTING 27, 3 (2024) Doi: https://link.springer.com/article/10.1007/s10586-023-04150-3 |
| Y. Vivek, V. Ravi, S.K. Vadlamani and P. Radha Krishna. Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso. arXiv preprint arXiv:2408.10693. (2024)- LATER COMMUNICATED to QUANTUM MACHINE INTELLIGENCE JOURNAL, SPRINGER., doi: https://link.springer.com/article/10.1007/s42484-026-00349-w |
| Sravya Gudipati, Syamkumar Pasupuleti, Padmavathy R., QS-CPABE: Quantum-Safe CP-ABE with policy hiding and verifiable policy update for cloud storage, Journal of Information Security and Applications, doi: https://doi.org/10.1016/j.jisa.2025.104080 |
| Sravya Gudipati, Syam Kumar PasGudipati, S., Pasupuleti, S. & R, P. Quantum resistant traceable, revocable, and key escrow-free CP-ABE for cloud storage. Peer-to Peer Netw. Appl. 18, 292 (2025). DOI: https://doi.org/10.1007/s12083-025-02106-5 |
| Hemraj Singh, Mridula Verma, R Cheruku, “DMFNet: geometric multi-scale pixel-level contrastive learning for video salient object detection”, International Journal of Multimedia Information Retrieval (SCIE Indexed; Impact Factor: 2.9). 10 March 2025., DOI: https://doi.org/10.1007/s13735-025-00361-z |
| Hemraj Singh, Mridula Verma, R Cheruku, “HSNet: A Novel Edge-Preserving Hierarchical Separable Network for Video Shadow Detection”, Circuits, Systems, and Signal Processing (SCIE Indexed; Impact Factor: 2.0), 25 January 2025. pp 3983–4012. https://doi.org/10.1007/s00034-024-02983-w |
| Asha Kiran, Syam Kumar Pasupuleti, and R. Eswari: Pairing-free Attribute based Signcryption for Cloud assisted IoT. Peer-to-Peer Networking and Applications, Springer, 15, 2390–2403 (July, 2022) https://doi.org/10.1007/s12083-022-01356-x [SCIE, IF:3.488] |
| Hemraj Singh, Mridula Verma, R Cheruku, “DAMFNet: Breaking Computational Barriers in Video Salient Object Detection with Multi-Scale Deformable Appearance–Motion Fusion”, Arabian Journal for Science and Engineering (SCIE Indexed; Impact Factor: 2.9), 23 May 2025. DOI: https://doi.org/10.1007/s13369-025-10301-y |
| Sravan, S.S., Susmita Mandal, and Alphonse, P.J.A “SDSMS-LoRa: secure dynamic session key management scheme for LoRaWAN v1. 1.” The Journal of Supercomputing, 81(2), p.371, 2025. (SCI) https://link.springer.com/article/10.1007/s11227-024-06802-6. |
| Sravan, S.S., Susmita Mandal, and Alphonse, P.J.A. “Partial Offline Payment Systems for Connecting the Unconnected: A Survey” ACM Computing Surveys, Vol no. 57 Issue 2, Pages 1 – 35, 2024. (SCI – Top-tier Journal) DOI: https://dl.acm.org/doi/10.1145/3687132 |
| Sravan, S.S., Mandal, S. and Alphonse, P.J.A., 2024. “LIO-PAY: Sustainable low-cost offline payment solution.” Electronic Commerce Research and Applications, 67, p.101440.(SCI) https://linkinghub.elsevier.com/retrieve/pii/S1567422324000851. |
| Sonam Sharma, Dipanjan Roy, and Digambar Pawar. 2024. PROTECTS: Progressive Rtl Obfuscation with ThrEshold Control Technique during architectural Synthesis. ACM Trans. Des. Autom. Electron. Syst. 30, 1, Article 7 (January 2025), 34 pages. Impact factor ~ 2.2 (Q2) DOI: https://dl.acm.org/doi/10.1145/3701032 |
| Papers Published in Conferences |
| Singampalli Tejaswi, V.N.Sastry and S.Durga Bhavani: Mobile Applications Security Assessment through Large Language Models (LLMs) based on User Reviews”, 8th International Conference on Data Science and Management of Data (CODS-COMAD, IIT Jodhpur, December 18-21, 2024, ACM Proceedings of CODS-COMAD-2024, pp. 261-269.ACM (2024) Doi: https://dl.acm.org/doi/10.1145/3703323.3703733 |
| V N Sastry: Mobile Security Challenges: A Case Study of Mobile Financial Services, Invited Paper, Publication by MEITY-DSCI, 2025. Doi: Document (.pdf) |
| Y. Vivek, V. Ravi, A. Mane, L.R. Naidu. (2025). Explainable One Class Classification for ATM Fraud Detection. In 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS) (pp. 114-119). IEEE., doi: https://ieeexplore.ieee.org/document/10885737. |
| N. Joshi, R. Kumar, A. Thakur, A. A. Franklin and N. N. Kumar, “PPAS: Privacy-preserving Resource Discovery for Multi-domain SFC orchestration,” International Conference on Computer Communications and Networks (ICCCN), July 25-28, 2022, pp. 1-7, doi: https://ieeexplore.ieee.org/document/10885564 |
| P.D. Prasad, Y. Vivek, V. Ravi. (2024). FedPNN: One-Shot Federated Classifier to Predict Credit Card Fraud and Bankruptcy in Banks. In 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) (pp. 1-8). IEEE., DOI: https://ieeexplore.ieee.org/document/10772751 |
| Y. Vivek, V. Ravi, A. Mane, L.R. Naidu. (2024). Explainable artificial intelligence and causal inference based ATM fraud detection. In 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) (pp. 1-7). IEEE. https://ieeexplore.ieee.org/document/10772906 |
| V. Yelleti, V. Ravi, P. Radha Krishna. (2024). Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 113-114). https://dl.acm.org/doi/10.1145/3638530.3664092 |
| V. Yelleti, V. Ravi, P. Radha Krishna. (2024). Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 227-230). doi: https://dl.acm.org/doi/10.1145/3638530.3654298 |
| C. Priyanka, Y. Vivek, V. Ravi. (2024). Benchmarking One Class Classification in Banking, Insurance, and Cyber Security. In International Conference on Frontiers of Intelligent Computing: Theory and Applications (pp. 1-14). Singapore: Springer Nature Singapore. DOI: https://link.springer.com/chapter/10.1007/978-981-96-0139-4_1 |
| N. Singh, G. Pranay, V. Ravi. (2024). Network Slicing and Traffic Classification in 5G Networks with Explainable Machine Learning. In International Conference on Data Management, Analytics & Innovation-ICDMAI (pp. 641-658). Singapore: Springer Nature Singapore. DOI: https://link.springer.com/chapter/10.1007/978-981-97-3242-5_42 |
| S. Kumar, B. A. Kumar, V. Ravi, (2024). Explainable Artificial Intelligence for Analytical Customer Relationship Management in Banking and Finance. In: Abraham, A., Bajaj, A., Hanne, T., Siarry, P. (eds) Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol 1049. Springer, Cham DOI: https://link.springer.com/chapter/10.1007/978-3-031-64779-6_10 |
| Renuka Chetturi Syam Kumar Pasupuleti and Rashmi Ranjan Routh, Lattice-Based Efficient Certificateless Public Auditing Scheme from RLWE for Cloud Storage, Proc.of 2024 IEEE/ACM 24th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), May 6-9, 2024 Philadelphia, City in Pennsylvania, USA. DOI: https://doi.org/10.1109/CCGridW63211.2024.00009 |
| Agrawal, Sandeep Kumar, Abhishek Thakur, Paventhan Arumugam, Shruthi Koratagere Anantha Kumar, Kanwar Singh, and Phalguni Mathur. “Rural Broadband Architecture For Efficient Service Delivery.” In 2024 IEEE Future Networks World Forum (FNWF), pp. 813-818. IEEE, 2024. DOI: https://ieeexplore.ieee.org/abstract/document/11028747 |
| Tripathi, Arpit, Abhishek Thakur, Abhinandan S. Prasad, Bheemarjuna Reddy Tamma, and Subhrendu Chattopadhyay. “MADE: An MEC Supported Platform Independent and Version Agnostic Framework for Mobile Application Deployment.” In 2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6. IEEE, 2024. DOI: https://ieeexplore.ieee.org/document/10898186 |
| Mridula Verma, Shimil S Babu. “Silent Intruders: Dissecting Textual Backdoor Attacks in Federated Dialog Systems”, International Conference on Neural Information Processing (ICONIP), New Zealand, (Core B Ranked), December 2024, pp 371-386 DOI: https://doi.org/10.1007/978-981-96-7008-6_27 |
| Md Arif Khan and Susmita Mandal. “Self-Sovereign Identity Management Framework for Secure Delegation.” Fifth International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2025). DOI: https://doi.org/10.1109/ICETCI67340.2025.11258054 |
| Bhavika Bandhe, Susmita Mandal, Rukma Rekha N. “Decentralize Privacy Enhanced Digital Lending Framework.” Fifth International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2025). DOI: https://ieeexplore.ieee.org/document/11257901 |
| Kirti Singh, Vinay J. Ribeiro, Susmita Mandal. “Flexiswap: A Cross-Chain Decentralized Exchange Protocol”. . In 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS) (pp. 730-738), 2025, IEEE. (National Core). DOI: https://ieeexplore.ieee.org/document/10885767 |
| Rohan Mariyala, , and Susmita Mandal.” A novel protocol for mitigating wormhole attack in multi-hop payment channels”. In 21st International Conference on Distributed Computing and Intelligent Technology (pp. 124-139). 2025, Cham: Springer Nature Switzerland. (National Core). DOI: https://link.springer.com/chapter/10.1007/978-3-031-81404-4_10 |
| S. Sharma, D. Roy and D. Pawar, “HardObfSec: Measuring Hardware Obfuscation Security at RTL,” 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece, 2025, pp. 1-6. DOI: https://ieeexplore.ieee.org/document/11130230 |
| Rohan Mariyala, , and Susmita Mandal.” A novel protocol for mitigating wormhole attack in multi-hop payment channels”. In 21st International Conference on Distributed Computing and Intelligent Technology (pp. 124-139). 2025, Cham: Springer Nature Switzerland. (National Core). DOI: https://link.springer.com/chapter/10.1007/978-3-031-81404-4_10 |
| Book Chapters |
| S.I. Ahamed, V. Ravi, P. Gopi. (2024). Fully Homomorphic Encrypted Wavelet Neural Network for Privacy-Preserving Bankruptcy Prediction in Banks. In Machine Learning Approaches in Financial Analytics (pp. 97-115). Ed: Maglaras, L.A., Das, S., Tripathy, N., Patnaik, S. Intelligent Systems Reference Library, vol 254. Cham: Springer Nature Switzerland. DOI: https://link.springer.com/chapter/10.1007/978-3-031-61037-0_4 |
| M. Vishal, V. Ravi, R. Lal (2024). Ensemble Deep Reinforcement Learning for Financial Trading. In Machine Learning Approaches in Financial Analytics (pp. 191-207) Ed: Maglaras, L.A., Das, S., Tripathy, N., Patnaik, S. Intelligent Systems Reference Library, vol 254. Cham: Springer Nature Switzerland. DOI: https://link.springer.com/chapter/10.1007/978-3-031-61037-0_9 |