© Copyright Notice: The contributing authors include the documents
contained in these directories/web pages as a means to ensure timely
dissemination of scholarly and technical work on a non-commercial basis.
Copyright and all rights therein are maintained by the authors or by other
copyright holders, notwithstanding that they have offered their works here
electronically. It is understood that all persons copying this information will
adhere to the terms and constraints invoked by each author's copyright. These
works may not be reposted without the explicit permission of the copyright
holder.
Publications -- 2026:
- D. Puthal, P. K. Sharma, A. K. Mishra, C. Y. Yeun, A. Longo, and S. P. Mohanty, “Decentralized Edge Intelligence: A Big Picture on Integrating Blockchain and Federated Learning for IoT Security”, IEEE Communications Standards Magazine (MCOMSTD), Vol. 10, No. 1, Mar 2026, pp. 72--79, DOI: https://doi.org/10.1109/MCOMSTD.2025.3600325.
- S. Ghanta, A. Pradhan, P. Boyapati, S. Biswas, and S. P. Mohanty, “Security and Verifiability in Federated Learning: A Zero-Knowledge Reputation-based Blockchain Framework”, IEEE Transactions on Network Science and Engineering (TNSE), Vol. 13, No. 2, Apr 2026, pp. 8005--8022, DOI: https://doi.org/10.1109/TNSE.2026.3676154.
- A. Mitra, S. P. Mohanty, and E. Kougianos, “Deepfakes and Large Language Models: Risks, Defenses, and the Future of Generative AI”, IEEE Potentials (MPOT), Vol. XX, No. YY, Accepted on 15 July 2026, pp. MM--NN, DOI: https://doi.org/XXX/YYY.
- A. Ghimire, M. Alkurdi, S. P. Mohanty, and F. H. Amsaad, “AI-Enabled Image Processing Approach for Efficient Clustering and Identification of Hardware Trojans”, Elsevier Integration (Integration), Vol. 107, No. 2, Mar 2026, pp. 102628:1--102628:15, DOI: https://doi.org/10.1016/j.vlsi.2025.102628.
- L. Samal, A. K. Samal, K. K. Mahapatra, A. K. Swain, and S. P. Mohanty, “iClean: An Intelligent Industrial IoT Framework for Automatic Sustainable Air Quality Monitoring”, IEEE Transactions on Sustainable Computing (TSUSC), Vol. 11, No. 2, March-April 2026, pp. 135--146, DOI: https://doi.org/10.1109/TSUSC.2026.3653174.
- K. Kethineni, S. P. Mohanty, and E. Kougianos, “Semantic-Search: A Knowledge-Driven Classification Method for Accurate Identification of Plant Diseases”, IEEE Transactions on AgriFood Electronics (TAFE), Vol. 4, No. 1, March-April 2026, pp. 4--14, DOI: https://doi.org/10.1109/TAFE.2025.3619095.
- I. D. Siripurapu, L. Rachakonda, S. P. Mohanty, and E. Kougianos, “iLog 2.2: Volume and Nutrition Estimation for Mixed Foods via Mask R-CNN and Federated Learning”, MDPI Electronics, Vol. 15, No. 7, Apr 2026, pp. 1460:1--1460:23, DOI: https://doi.org/10.3390/electronics1010000.
- L. Rachakonda, S. S. H. Chakravarthula, S. P. Mohanty, and E. Kougianos, “cStick 2.0: An IoMT Edge Based Vision-Enabled Smart System for Personalized Fall Prediction and Detection”, MDPI Electronics, Vol. XX, No. YY, Accepted on 29 July 2026, pp. XXX:1–XXX:YY, DOI: https://doi.org/XXX/YYY.
- A. Mitra, S. P. Mohanty, and E. Kougianos, “Deepfakes and Large Language Models: Risks, Defenses, and the Future of Generative AI”, Authorea, Feb 2026, 14-pages, DOI: https://doi.org/10.22541/au.177023018.89520346/v1.
- V. P. Yanambaka, U. Choppali, and S. P. Mohanty, “Exploring Delay-based PUFs for Energy-Efficient Low-Overhead Security of Wearable Devices”, arXiv Computer Science, arXiv:2607.14395, July 2026, 22-pages, DOI: https://arxiv.org/abs/2607.14395.
- J. Amathi, V. P. Yanambaka, S. P. Mohanty, and E. Kougianos, “Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning”, arXiv Computer Science, arXiv:2605.16443, May 2026, 21-pages, DOI: https://arxiv.org/abs/2605.16443.
- P. Jain, A. M. Joshi, and S. P. Mohanty, “ iGLU 5.0: A Novel, Non-invasive and Intelligent HbA1c Measurement Device using Glucose values and Physiological Parameter for Smart Healthcare”, arXiv Physics, arXiv:2606.14326, June 2026, 17-pages, DOI: https://arxiv.org/abs/2606.14326.
- K. K. Kethineni, R. R. Kanukuntla, S. P. Mohanty, and E. Kougianos, “XpressWeed: Meta-Inspired Few-Shot Adaptation for Plant Weed Segmentation Using Texture Priors”, in Proceedings of the IEEE Conference on Technologies for Sustainability (SusTech), 2026, pp. 1--7, DOI: https://doi.org/10.1109/SusTech67720.2026.11536213.
Last updated on 30 July 2026 (Thu).
© Saraju Mohanty