Sharmila Subudhi

Publications

Full list with citation counts: Google Scholar | ORCID | dblp

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Journal articles

  1. S. N. Bal and S. Subudhi (2026). Compass edge guided capacity adaptive spatial image watermarking with perceptual alpha blending. Signal, Image and Video Processing, Springer, 20, 460. DOI SCIE Scopus
  2. S. N. Bal and S. Subudhi (2026). Perceptual-Guided Adaptive Watermarking via GBT-PBFO Block Selection and WOA-Optimized DWT-DCT-SVD Embedding. International Journal of Engineering and Manufacturing, MECS Press. Accepted Scopus
  3. S. Subudhi, R. G. Dabhade, R. Shastri, V. Gundu, G. D. Vignesh, A. Chaturvedi (2023). Empowering sustainable farming practices with AI-enabled interactive visualization of hyperspectral imaging data. Measurement: Sensors, Elsevier, 30, 100935. DOI Scopus
  4. P. Dileep, M. Durairaj, S. Subudhi, V. V. R. Maheswara Rao, J. Jayanthi, D. Suganthi (2023). AI-driven drowned-detection system for rapid coastal rescue operations. Spatial Information Research, Springer. DOI ESCI Scopus
  5. M. Sudha, V. M. K. Reddy, W. Deva Priya, S. M. Rafi, S. Subudhi, S. Jayachitra (2023). Optimizing intrusion detection systems using parallel metric learning. Computers and Electrical Engineering, Elsevier, 110, 108869. DOI SCIE Scopus
  6. R. Bhukya, R. Shastri, S. S. Chandurkar, S. Subudhi, D. Suganthi, M. S. R. Sekhar (2023). Detection and classification of cardiac arrhythmia using artificial intelligence. International Journal of System Assurance Engineering and Management, Springer. DOI ESCI Scopus
  7. S. Subudhi and S. Panigrahi (2022). Application of OPTICS and Ensemble Learning for Database Intrusion Detection. Journal of King Saud University - Computer and Information Sciences, Elsevier, 34(3), 972–981. DOI SCIE Scopus
  8. S. Subudhi and S. Panigrahi (2020). Two-stage Automobile Insurance Fraud Detection by Using Optimized Fuzzy C-Means Clustering and Supervised Learning. International Journal of Information Security and Privacy, IGI Global, 14(3), 18–37. DOI ESCI Scopus
  9. S. Subudhi and S. Panigrahi (2020). Use of Optimized Fuzzy C-Means Clustering and Supervised Classifiers for Automobile Insurance Fraud Detection. Journal of King Saud University - Computer and Information Sciences, Elsevier, 32(5), 568–575. DOI SCIE Scopus
  10. S. Subudhi and S. Panigrahi (2018). A Hybrid Mobile Call Fraud Detection Model Using Optimized Fuzzy C-Means Clustering And Group Method Of Data Handling-Based Network. Vietnam Journal of Computer Science, 5(3–4), 205–217. DOI ESCI Scopus
  11. S. Subudhi and S. Panigrahi (2018). Detection of Automobile Insurance Fraud using Feature Selection and Data Mining Techniques. International Journal of Rough Sets and Data Analysis, IGI Global, 5(3), 1–20. DOI Peer-reviewed
  12. S. Subudhi, S. Panigrahi, T. K. Behera (2016). Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model. International Journal of Synthetic Emotions, IGI Global, 7(2), 23–44. DOI Peer-reviewed
  13. S. Subudhi and S. Panigrahi (2016). Use of Fuzzy Clustering and Support Vector Machine for Detecting Fraud in Mobile Telecommunication Networks. International Journal of Security and Networks, Inderscience, 11(1/2), 3–11. DOI Scopus

Book chapter

  1. S. Panigrahi, H. Swapnarekha, S. Subudhi (2023). GACO: A Genetic Algorithm with Ant Colony Optimization-Based Feature Selection for Breast Cancer Diagnosis. In: Nature-Inspired Optimization Methodologies in Biomedical and Healthcare, Intelligent Systems Reference Library, vol. 233. Springer, Cham. DOI

Conference proceedings

  1. N. Kakwambi and S. Subudhi (2026). QAT-KD-IoT: Lightweight Intrusion Detection in SDN-IoT Environment Using Quantization-Aware Trained Knowledge Distillation Approach. Deep Learning Indaba 2026, International Joint Conference on Artificial Intelligence (IJCAI). Accepted
  2. D. Rana and S. Subudhi (2026). A hybrid two-stage ensemble model for detecting intrusion in IoT environment. In: Artificial Intelligence Sustainable Innovation (Vol. 2), Taylor and Francis. DOI
  3. R. C. Shit and S. Subudhi (2025). AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles. 2025 IEEE Space, Aerospace and Defence Conference (SPACE), Bangalore, pp. 1–6. DOI
  4. S. N. Bal and S. Subudhi (2025). Efficient watermarking framework using cryptography and bit substitution. CRC Press, pp. 238–243. DOI
  5. S. Panigrahi and S. Subudhi (2025). Online auction fraud detection using deep learning network. CRC Press, pp. 163–166. DOI
  6. D. Rana and S. Subudhi (2024). A Balanced Ensemble Approach Towards Network Intrusion in IoT Environment. 2024 IEEE 21st India Council International Conference (INDICON), pp. 1–5. DOI
  7. J. Tripathy and S. Subudhi (2024). Effect of Data Imbalance in Telecom Fraud. Computational Intelligence in Pattern Recognition, Springer Nature Singapore, pp. 221–232. DOI
  8. S. N. Bal and S. Subudhi (2024). Secured Watermarking Framework Using Cryptography and Pixel Scheming. Computational Intelligence in Pattern Recognition, Springer Nature Singapore. DOI
  9. A. Dash, K. Naik, S. Subudhi (2023). Digital Watermarking Using Visual Cryptography. CIPR 2022, Lecture Notes in Networks and Systems, vol. 725, Springer, Singapore. DOI
  10. S. Das, J. Nayak, S. Subudhi (2022). An Impact Study on Covid-19 with Sustainable Sports Tourism: Intelligent Solutions, Issues and Future Challenges. CIPR 2022, Lecture Notes in Networks and Systems, vol. 480, Springer, Singapore. DOI
  11. S. Panigrahi, S. Subudhi, S. Z. Ninoria (2022). A Comprehensive Performance Analysis on Artificial Neural Networks. 2022 11th International Conference on System Modeling and Advancement in Research Trends (SMART), IEEE, pp. 489–495. DOI
  12. A. Das and S. Subudhi (2022). Effect of Class Imbalanceness in Credit Card Fraud. In: Intelligent and Cloud Computing, Smart Innovation, Systems and Technologies, Springer, Singapore, pp. 471–480. DOI
  13. S. Sharma, A. Ghosh, S. Subudhi (2022). Hand Sign Language Detection Using Deep Learning. In: Advances in Distributed Computing and Machine Learning, Lecture Notes in Networks and Systems, vol. 302, Springer, Singapore, pp. 493–502. DOI
  14. D. K. Patel and S. Subudhi (2019). Application of Extreme Learning Machine in Detecting Auto Insurance Fraud. 2019 International Conference on Applied Machine Learning (ICAML), Bhubaneswar, IEEE, pp. 78–81. DOI
  15. S. Subudhi and S. Panigrahi (2018). Effect of Class Imbalanceness in Detecting Automobile Insurance Fraud. 2018 2nd International Conference on Data Science and Business Analytics (ICDSBA), Changsha, China, IEEE, pp. 528–531. DOI
  16. S. Subudhi and S. Panigrahi (2017). Use of Possibilistic Fuzzy C-means Clustering for Telecom Fraud Detection. Computational Intelligence in Data Mining, Advances in Intelligent Systems and Computing, vol. 556, Springer, Singapore, pp. 633–641. DOI
  17. S. Subudhi, S. Panigrahi, T. K. Behera (2017). Use of OPTICS and Supervised Learning Methods for Database Intrusion Detection. 3rd International Conference on Computational Intelligence and Networks (CINE 2017), IEEE. DOI
  18. S. Subudhi and S. Panigrahi (2015). Quarter-Sphere Support Vector Machine For Fraud Detection In Mobile Telecommunication Networks. Procedia Computer Science, Elsevier, 48, 353–359. DOI

Preprints

  1. R. C. Shit and S. Subudhi (2025). Hierarchical Adaptive Consensus Network: A Dynamic Framework for Scalable Consensus in Collaborative Multi-Agent AI Systems. arXiv:2511.17586
  2. R. C. Shit and S. Subudhi (2025). Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks. arXiv:2511.12648
  3. R. C. Shit and S. Subudhi (2025). Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization. arXiv:2511.06363
  4. R. C. Shit and S. Subudhi (2025). Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance. arXiv:2511.11616
  5. R. C. Shit and S. Subudhi (2025). Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering. arXiv:2505.10073

Patents

Granted

  1. S. Jha, A. Law, S. Ghosh, R. K. Gupta, A. Vasishtha, K. C. Mondal, A. S. Prabuwono, S. Subudhi, S. Ahmad, S. K. Tiwari (2026). Agentic AI-Assisted Office Robot With Anthropomorphic Display Arrangement. UK Design Patent No. 6504351. Filed 1 Feb 2026, granted 19 Feb 2026.
  2. M. R. Pradhan, S. Subudhi, A. Dash, M. Kuanr, T. K. Patra, P. Mohapatra, B. Acharya (2022). Apparatus To Detect Fake Currency Using Intelligent Circuit And Image Processing. German Utility Patent Application No. 202022102516. Filed 7 May 2022, granted 1 Jun 2022.
  3. B. Acharya, D. K. Patel, S. Subudhi, A. Dash, A. Rahaman (2022). Smart Covid-19 Testing Booth Automation System. Australian Innovation Patent No. AU2021104312A4. Filed 19 Jul 2021, granted 21 Apr 2022.

Published

  1. H. Sharma, M. Malathy, S. Jayachitra, P. Dileep, K. Sekaran, I. Nagaraju, P. Hajra, S. A. L. Mary, S. Anitha, S. Subudhi (2022). A System For Emission Related Transaction Validation And Capture Via Blockchain Network And Method Thereof. Indian Patent Application No. 202211035922. Filed 22 Jun 2022, published 1 Jul 2022.
  2. S. Subudhi, A. Aeron, N. A. Farooqui, S. Venkataramana, P. K. Reddy K., C. S. Bhoopathi, S. Jaiswal, A. Pandey, V. R. Roniki, T. Jaiswal (2021). An Apparatus For Automated Data Collection, Management, And Reporting Based On Deep Learning And Artificial Intelligence And Method Thereof. Indian Patent Application No. 202131041447. Filed 14 Sep 2021, published 26 Nov 2021.
  3. A. Dash, N. Madhab, S. Subudhi, D. K. Patel (2021). A System For Counting People In A Crowd Using The Audio Watermarking Technology. Indian Patent Application No. 202131025084. Filed 5 Jun 2021, published 9 Jul 2021.