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Ibrahim, V., Alaya Cheikh, F., Asari, V. K., & Paul, J. S. (2025). Extrapolation convolution for data prediction on a 2-D grid: Bridging spatial and frequency domains with applications in image outpainting and compressed sensing. IEEE Transactions on Neural Networks and Learning Systems, 36(12), 20315–20327. https://doi.org/10.1109/TNNLS.2025.3598745

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Asulabha, K. S., Sincy, V., Jaishanker, R., & Ramachandra, T. V. (2025). Biomonitoring of urban lakes through microalgae.Ecology, Environment and Conservation Paper., 31(1), 286–295. https://www.envirobiotechjournals.com/issues/article_abstract.php?aid=15771&iid=419&jid=3

Article

Thampi, S. M., Thomas, T., & Mukherjee, P. (Eds.). (2025). Securing the connected world: Exploring emerging threats and innovative solutions. Springer. https://doi.org/10.1007/978-3-031-82826-3

Book

Pillai, S. V. (2025). Microsoft Power BI essentials you always wanted to know. Vibrant Publishers.

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Thampi, S. M., Chaudhary, V., Pathan, A.-S. K., Li, K. C., & Krishnaswamy, D. (Eds.). (2025). Fifth International Conference on Computing and Network Communications: Proceedings of CoCoNet 2023 (Vol. 2; Lecture Notes in Electrical Engineering, Vol. 1221). Springer Nature. https://link.springer.com/book/10.1007/978-981-97-4711-5

Book

Pal, S. K., Thampi, S. M., & Abraham, A. (Eds.). (2025). Intelligent informatics: Proceedings of the Eighth International Symposium on Intelligent Informatics (ISI 2023). https://link.springer.com/book/10.1007/978-981-97-2147-4

Book

S. Balasubramaniam, S. Kadry, T. K. Manoj Kumar, K. Satheesh Kumar.. (2025). Bio-Inspired algorithms in machine learning and deep learning for disease detection. CRC Press.

Book

Balasubramaniam S., & Kadry, S. (Eds.). (2025). Advances in Deep Generative Models for Healthcare and Medical Applications. Routledge. https://www.routledge.com/Advances-in-Deep-Generative-Models-for-Healthcare-and-Medical-Applications/S-Kadry/p/book/9781032988955

Book

Balasubramaniam, S., & Kadry, S. (2025). Democratized generative AI: Principles, challenges and applications. https://doi.org/10.52305/NSGY2831

Book

Balasubramaniam, S., & Kadry, S. (2025). Generative AI for software development: Code generation, error detection, software testing (Vol. 1, p. 330). De Gruyter. https://www.degruyterbrill.com/document/doi/10.1515/9783111677798/html?srsltid=AfmBOory2wmoL957BrKuDr2gC8HK5e5NPZCm0sM2UcmbhZpqRNS1Pubx

Book

Jayachitra, S., Prasanth, A., Dhanaraj, R. K., Balasubramaniam, S., & Pelusi, D. (Eds.). (2026). Applications of federated learning in technological advancements: Use cases and applications (1st ed.). Routledge. https://www.routledge.com/Applications-of-Federated-Learning-in-Technological-Advancements-Use-Cases-and-Applications/Jayachitra-Prasanth-Dhanaraj-S-Pelusi/p/book/9781032859514

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Balasubramaniam, S., & Kadry, S. (2025). AI-powered digital twins for predictive healthcare: Creating virtual replicas of humans (Vol. 1, p. 502). IGI Global. https://www.igi-global.com/gateway/book/359975

Book

Dhanaraj, R. K., Sathyamoorthy, M., Balasubramaniam, S., & Kadry, S. (Eds.). (2025). Networked sensing systems. Scrivener Publishing LLC. https://doi.org/10.1002/9781394310890

Book

Sundaravadivazhagan, B., Balasubramaniam, S., Raj, P., & Shantha Kumari, K. (Eds.). (2025). Applying metaverse technologies to human-computer interaction for healthcare. Auerbach Publications. https://doi.org/10.1201/9781003491668

Book

Balasubramaniam, S., Kadry, S., Kumar, M. T. K., & Kumar, K. S. (2025). Bio-inspired algorithms in machine learning and deep learning for disease detection. CRC Press. https://www.routledge.com/Bio-inspired-Algorithms-in-Machine-Learning-and-Deep-Learning-for-Disease-Detection/S-Kadry-TK-Kumar/p/book/9781032865485

Book

Asharaf, S., Sivadas, N., Adarsh, S., & Abraham, S. M. (2025). Advanced blockchain technologies. Wiley India. https://www.bookswagon.com/book/advanced-blockchain-technologies-adarsh-asharaf/9789363863972?srsltid=AfmBOorSRV4A9P4wPjEbsVUVDdAjJKcABsw9x6vtAgvRS1JexH2u7Jxg

Book

James, A. (2025). Memristors: From materials to devices: Memristor models, mechanisms, fabrication methods, and applications. River Publishers. https://www.riverpublishers.com/book_details.php?book_id=1186

Book

Valsalam, S., & Thomas, T. (2025). Quantum machine learning: Current trends and applications. In Quantum computing: Principles and paradigms (pp. 201–220). Elsevier. https://doi.org/10.1016/B978-0-443-29096-1.00004-0

Book Chapter

Valsalam, S., Thomas, T. (2025). CNN with NEQR Encoding for Quantum-Classical Hybrid Image Compression. In: Choudrie, J., Mahalle, P.N., Perumal, T., Joshi, A. (eds) ICT for Intelligent Systems. ICTIS 2025. Lecture Notes in Networks and Systems, vol 1507. Springer, Singapore. https://doi.org/10.1007/978-981-96-8750-3_43

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Surendran, R., & Thomas, T. (2025). Malware in the connected world: Advanced detection techniques using system calls and graph analysis. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world: Exploring emerging threats and innovative solutions (pp. 115–134). Springer. https://link.springer.com/chapter/10.1007/978-3-031-82826-3_4

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Jithu Vijay, V. P., Thampi, S. M., & Alwin Varghese, T. (2025). An ML-driven adaptive risk-based access control for the Internet of Drones (IoD). In N. Hubballi, R. Verma, & K. S. Rudrapatna (Eds.), Information systems security. ICISS 2025. Lecture Notes in Computer Science (Vol. 16380, pp. 3–13). Springer, Cham. https://doi.org/10.1007/978-3-032-13714-2_1

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Payyampally, A., Thampi, S. M., & Mukherjee, P. (2025). Advanced intrusion detection techniques and trends in IoT networks. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world (pp. —). Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_3

Book Chapter

Jimmington, A., Thampi, S. M., & Mukherjee, P. (2025). Advancing connectivity and security in SDN-IoT networks through policy management. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world. Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_7

Book Chapter

Thomas, B., Thampi, S. M., & Mukherjee, P. (2025). An in-depth exploration of attack modeling and vulnerability analysis in IoT networks. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_2

Book Chapter

Smitha Rani, B. S., & Thampi, S. M. (2025). Tactical trust: A comprehensive exploration of trust management in the Internet of Drones. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_12

Book Chapter

Shahanas, I. N., & Thampi, S. M. (2025). Secure communication protocols: Safeguarding information in the digital age. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_6

Book Chapter

Neha, M. V., & Thampi, S. M. (2025). Smart surveillance in physical security systems and ethical frameworks in IoD. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_13

Book Chapter

Bhagya, B., Thampi, S. M., & Mukherjee, P. (2025). Fraud detection in IoT networks. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_5

Book Chapter

Kumar, M. S., & Thampi, S. M. (2025). From ground to cloud: Integrated multi-attack detection in IoT-driven UAV security frameworks. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_11

Book Chapter

Vijay, J., & Thampi, S. M. (2025). Navigating the skies: Exploring dynamic access control in the Internet of Drones (IoD). In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world . Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_10

Book Chapter

Nair, A. S., & Thampi, S. M. (2025). Towards resilient Internet of drones: A systematic survey on authentication and GPS spoofing countermeasures. In S. M. Thampi, T. Thomas, & P. Mukherjee (Eds.), Securing the connected world ). Springer, Cham. https://doi.org/10.1007/978-3-031-82826-3_9

Book Chapter

Jimmington, A., Alfas Hakeem, P., Mukherjee, P., & Thampi, S. M. (2025). A novel approach for bridging the gap between SDN and MITRE for agile incident response. In M. Thampi, S., P. Siarry, M. Atiquzzaman, L. Trajkovic, & J. Lloret Mauri (Eds.), Fifth International Conference on Computing and Network Communications: CoCoNet 2023 (Lecture Notes in Electrical Engineering, Vol. 1219). Springer, Singapore. https://doi.org/10.1007/978-981-97-4540-1_1

Book Chapter

Aruljothi, S., Malu, G. (2025). Computational Models and Neural Insights in Music Neuroscience. In: Thampi, S.M., Chaudhary, V., Pathan, AS.K., Ching Li, K., Krishnaswamy, D. (eds) Fifth International Conference on Computing and Network Communications. CoCoNet 2023. Lecture Notes in Electrical Engineering, vol 1221. Springer, Singapore. https://doi.org/10.1007/978-981-97-4711-5_10

Book Chapter

Govind, M.B., Humaid, A.S., Malu, G. (2025). Revolutionizing Student Engagement: Real-Time Emotion Detection and Interest Identification in Live Video Streams. In: Thampi, S.M., Chaudhary, V., Pathan, AS.K., Ching Li, K., Krishnaswamy, D. (eds) Fifth International Conference on Computing and Network Communications. CoCoNet 2023. Lecture Notes in Electrical Engineering, vol 1221. Springer, Singapore. https://doi.org/10.1007/978-981-97-4711-5_29

Book Chapter

Saravanan, V., Sivan, D., Satheesh Kumar, K., & Jose, R. (2025). Disease diagnosis Traditional vs. Bio-Inspired algorithm approaches. In Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection (pp. 70–87). https://doi.org/10.1201/9781003538158-4

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Sreedhanya, L. R., & Satheesh Kumar, K. (2025). Artificial Intelligence Cyber Physical System platform for industry 4.0. In Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (pp. 50–60). https://doi.org/10.1007/978-3-031-77078-4_4

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Balasubramaniam, S., Joe, C. V., Prasanth, A., & Satheesh Kumar, K.(2025). Computer vision systems in livestock farming, poultry farming, and fish farming. In Computer Vision in Smart Agriculture and Crop Management (pp. 221–258). https://doi.org/10.1002/9781394186686.ch10

Book Chapter

Bindu, N., Ajith Kumar, R., Radhakrishnan, T., Manoj Kumar, T. K. ., & Satheesh Kumar, K.. (2025). Virtual realities: The influence of the metaverse on healthcare E-Governance. In Auerbach Publications eBooks (pp. 254–277). https://doi.org/10.1201/9781003491668-13

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Sivan, D., Raj, V.,Satheesh Kumar, K., & Jose, R. (2025). How Generative AI models work: Behind the code. In Generative AI for Software Development (pp. 53–74). https://doi.org/10.1515/9783111677798-003

Book Chapter

Ajithkumar, R., Radhakrishnan, T., Manoj, T. K., Dawn, S., & Satheesh Kumar. K. (2025). Software development: No-code and low-code with generative AI. In Generative AI for Software Development

Code Generation, Error Detection, Software Testing (Chapter 7) https://www.degruyterbrill.com/document/doi/10.1515/9783111677798/html?srsltid=AfmBOoqk0P9O0KJfnaBRx0LDWdDPpsE1rUGqxMMi0JE3utMpiXFwyGNO#overview

Book Chapter

Sreedhanya, L.R., Satheesh Kumar, K. (2025). Artificial Intelligence Cyber Physical System Platform for Industry 4.0. In: Pareek, P., Mishra, S., Reis, M.J.C.S., Gupta, N. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-031-77078-4_4

Book Chapter

Sivan, D., Wei, Y.-L., Satheesh Kumar, K., Chen, Y.-J., & Jose, R. (2025). A hybrid SQL-RAG-LLM question answering system for plastic waste management. In Proceedings of the 2025 7th International Conference on Interdisciplinary Computer Science and Engineering (ICICSE) (pp. 75–81). IEEE. https://doi.org/10.1109/ICICSE67247.2025.11390794

Book Chapter

George, J. K., & Sherly, E. (2026). Fixation-guided recognition and categorization of handwritten characters. In S. Fong, N. Dey, & A. Joshi (Eds.), ICT analysis and applications. ICT4SD 2025 (Lecture Notes in Networks and Systems, Vol. 1651, pp. 333–345). Springer, Cham. https://doi.org/10.1007/978-3-032-06688-6_28

Book chapter

Preemi, G., Ashwini, A., Balasubramaniam, S., & Kadry, S. (2025). The precision edge of deep generative models for enhanced differential diagnosis. In Advances in Deep Generative Models for Healthcare and Medical Applications (pp. 146–162). https://doi.org/10.1201/9781003602088-8

Book chapter

Ashwini, A., Kavitha, V., Balasubramaniam, S., & Kadry, S. (2025). A new wave of generative flow networks in streaming healthcare with artificial intelligence. In Advances in Deep Generative Models for Healthcare and Medical Applications (pp. 53–70). https://doi.org/10.1201/9781003602088-3

Book chapter

Joel, L. A., Ashwini, A., & Balasubramaniam, S. (2025). A deep dive into generative model types beyond imagination. In Advances in Deep Generative Models for Healthcare and Medical Applications (pp. 30–52). https://doi.org/10.1201/9781003602088-2

Book chapter

Joel Livin, S. A., Ashwini, A., & Balasubramaniam, S. (2025). Breaking barriers through generative AI: Charting a global empowered future. In Democratized generative AI: Principles, challenges and applications (Vol. 1, pp. 303–326). NOVA Science Publishers, USA. https://novapublishers.com/shop/democratized-generative-ai-principles-challenges-and-applications/

Book chapter

Ashwini, A., Kavitha, V., Balasubramaniam, S., & Kadry, S. (2025). The democratic route to generative AI: Balancing ethics and innovation. In Democratized generative AI: Principles, challenges and applications (pp. 69–91). Nova Science Publishers, Inc. https://novapublishers.com/shop/democratized-generative-ai-principles-challenges-and-applications/

Book chapter

Ashwini, A., Menaka, D., Balasubramaniam, S., & Kadry, S. (2025). Unleashing the power of democratized machine learning models. In Ajman University. https://research.ajman.ac.ae/en/publications/unleashing-the-power-of-democratized-machine-learning-models/

Book chapter

Ashwini, A., Prathaban Banu Priya, S., & Balasubramaniam, S. (2025). Navigating challenges and opportunities of generative AI in software development. In Generative AI for software development: Code generation, error detection, software testing (Vol. 1, pp. 293–314). De Gruyter. https://doi.org/10.1515/9783111677798-013

Book chapter

Ashwini, A., Saranya, R. and Balasubramaniam, S.. “Real-World Software Solutions Through Generative AI in Transforming Code and Beyond”. Generative AI for Software Development: Code Generation, Error Detection, Software Testing, edited by S. Balasubramaniam and Seifedine Kadry, De Gruyter, 2025, pp. 263-292. https://doi.org/10.1515/9783111677798-011

Book chapter

Antony, Judice, Ashwini, A. and Balasubramaniam, S.. “Future Frontiers of Software Testing Beyond Debugging and Accuracy Automation Driven by Generative AI”. Generative AI for Software Development: Code Generation, Error Detection, Software Testing, edited by S. Balasubramaniam and Seifedine Kadry, De Gruyter, 2025, pp. 97-120. https://doi.org/10.1515/9783111677798-005

Book chapter

Ashwini, A., Santhiya, G., & Balasubramaniam, S. (2025). The new frontier of digital twins in next-gen wearables for personalized health tracking. In AI-powered digital twins for predictive healthcare: Creating virtual replicas of humans (pp. 107–138). IGI Global Scientific Publishing. https://www.igi-global.com/chapter/the-new-frontier-of-digital-twins-in-next-gen-wearables-for-personalized-health-tracking/373667

Book Chapter

Lavanya, M., Ashwini, A., & Balasubramaniam, S. (2025). The virtual revolution of digital twins in chronic healthcare management. In AI-powered digital twins for predictive healthcare: Creating virtual replicas of humans (pp. xx–xx). IGI Global. https://doi.org/10.4018/979-8-3373-0538-7.ch006

Book Chapter

Ashwini, A., Shamini, G. I., & Balasubramaniam, S. (2025). Trends, advances, and applications of network sensing systems. In R. K. Dhanaraj, M. Sathyamoorthy, S. Balasubramaniam, & S. Kadry (Eds.), Networked sensing systems (Chap. 14). Wiley. https://doi.org/10.1002/9781394310890.ch14

Book Chapter

Ashwini, A., Kavitha, V., & Balasubramaniam, S. (2025). Interconnected healthcare 5.0 ecosystems: Enhancing patient care using sensor networks. In R. K. Dhanaraj, M. Sathyamoorthy, S. Balasubramaniam, & S. Kadry (Eds.), Networked sensing systems (Chap. 9). Wiley. https://doi.org/10.1002/9781394310890.ch9

Book Chapter

Abinaya, M., Vadivu, G., Balasubramaniam, S., & Sundaravadivazhagan, B. (2025). Remote and urban environmental area sensing, connectivity issues, and solutions based on emerging technologies. In R. K. Dhanaraj, M. Sathyamoorthy, S. Balasubramaniam, & S. Kadry (Eds.), Networked sensing systems. Wiley. https://doi.org/10.1002/9781394310890.ch2

Book Chapter

Ashwini, A., Shamini, G. I., Prathaban, B. P., & Balasubramaniam, S. (2025). MultiSense diagnosis: Navigating disease diagnosis with metaverse multimodal interaction. In B. Sundaravadivazhagan, S. Balasubramaniam, P. Raj, & K. Shantha Kumari (Eds.), Applying metaverse technologies to human-computer interaction for healthcare (pp. 19–). Auerbach Publications. https://doi.org/10.1201/9781003491668

Book Chapter

Abinaya, M., Vadivu, G., Balasubramaniam, S., & Kadry, S. (2025). Exploring technologies needed for the metaverse. In B. Sundaravadivazhagan, S. Balasubramaniam, P. Raj, & K. Shantha Kumari (Eds.), Applying metaverse technologies to human-computer interaction for healthcare (p. 20). CRC Press. https://doi.org/10.1201/9781003491668

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Ashwini, A., Kavitha, V., Balasubramaniam, S., & Kadry, S. (2025). MetaHealth: Transforming healthcare through AI integration. In B. Sundaravadivazhagan, S. Balasubramaniam, P. Raj, & K. Shantha Kumari (Eds.), Applying metaverse technologies to human-computer interaction for healthcare (p. 121). CRC Press. https://doi.org/10.1201/9781003491668

Book Chapter

Ashwini, A., Balasubramaniam, S., & Sundaravadivazhagan, B. (2025). Bio-inspired intelligence in early cancer detection: A machine learning approach. In Bio-inspired algorithms in machine learning and deep learning for disease detection (pp. 122–140). CRC Press. https://www.routledge.com/Bio-inspired-Algorithms-in-Machine-Learning-and-Deep-Learning-for-Disease-Detection/S-Kadry-TK-Kumar/p/book/9781032865485

Book Chapter

Aathilakshmi, S., Balasubramaniam, S., & Salau, A. O. (2025). Bio-inspired algorithms in machine learning and deep learning for diabetes diagnosis. In Bio-inspired algorithms in machine learning and deep learning for disease detection (pp. 141–157). CRC Press. https://www.routledge.com/Bio-inspired-Algorithms-in-Machine-Learning-and-Deep-Learning-for-Disease-Detection/S-Kadry-TK-Kumar/p/book/9781032865485

Book Chapter

Sundaravadivazhagan, B., Abinaya, M., Vadivu, G., & Balasubramaniam, S. (2025). Bio-inspired algorithms using machine learning and deep learning for social phobia treatment. In Bio-inspired algorithms in machine learning and deep learning for disease detection (p. 20). CRC Press. https://www.routledge.com/Bio-inspired-Algorithms-in-Machine-Learning-and-Deep-Learning-for-Disease-Detection/S-Kadry-TK-Kumar/p/book/9781032865485

Book Chapter

Salau, A. O., Aathilakshmi, S., & Balasubramaniam, S. (2025). Bio-inspired algorithms in machine learning and deep learning for diabetes diagnosis. In Bio-inspired algorithms in machine learning and deep learning for disease detection (p. 17). CRC Press. https://www.routledge.com/Bio-inspired-Algorithms-in-Machine-Learning-and-Deep-Learning-for-Disease-Detection/S-Kadry-TK-Kumar/p/book/9781032865485

Book Chapter

Ashwini, A., Kavitha, V., Balasubramaniam, S., & Kadry, S. (2025). Algorithmic heartbeat with bio-inspired algorithms in cardiac health monitoring. In Bio-inspired algorithms in machine learning and deep learning for disease detection (p. 19). CRC Press. https://www.routledge.com/Bio-inspired-Algorithms-in-Machine-Learning-and-Deep-Learning-for-Disease-Detection/S-Kadry-TK-Kumar/p/book/9781032865485

Book Chapter

Balasubramaniam, S., Joe, C. V., Prasanth, A., & Kumar, K. S. (2025). Computer vision systems in livestock farming, poultry farming, and fish farming. In Computer Vision in Smart Agriculture and Crop Management (pp. 221–258). https://doi.org/10.1002/9781394186686.ch10

Book Chapter

Ibrahim, V., & Paul, J. S. (2025). A hybrid domain encoder-decoder network for progressive k-space extrapolation in super-resolution MRI. In A. Antonacopoulos, S. Chaudhuri, R. Chellappa, C. L. Liu, S. Bhattacharya, & U. Pal (Eds.), Pattern recognition. ICPR 2024 (Lecture Notes in Computer Science, Vol. 15311, pp. 111–123). Springer, Cham. https://doi.org/10.1007/978-3-031-78195-7_9

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R. Prakash and T. Thomas (2025) Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins, 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS), Bengaluru, India, 2025, pp. 721-729, doi: https://ieeexplore.ieee.org/abstract/document/10885606

Conference

Sadhvi, K., Matthieu, L., Vincent, D., Suresh, I., and Jérôme, V.: Evaluating Surface Heat Feedbacks: Insights from CMIP Models, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-789, https://doi.org/10.5194/egusphere-egu25-789, 2025.

Conference

R. R. S S and S. Datta, “Dual Attention Guided Wavelet Domain ISTA-Net for Noise-Resilient Underwater Passive Sonar Detection and Classification,” 2025 IEEE 22nd India Council International Conference (INDICON), Bengaluru, India, 2025, pp. 1-6, doi: https://ieeexplore.ieee.org/abstract/document/11392849

Conference

R. R. S. S and S. Datta, “L1-norm ALE using Normalized Step Size LMP for Noise-Resilient Underwater Passive Sonar Detection and Classification,” 2025 IEEE 6th India Council International Subsections Conference (INDISCON), Rourkela, India, 2025, pp. 1-6, doi: https://ieeexplore.ieee.org/abstract/document/11254867

Conference

Rani, B. S. S., Mukherjee, P., & Ekstedt, M. (2025). Modular analysis of attack graphs for smart grid security. In Lecture notes in computer science (pp. 466–476). https://doi.org/10.1007/978-3-032-13714-2_29

Conference

Nair, L. R., Anil, A., Mukherjee, P., & Aggarwal, M. (2025). Security-Centric NWDAF module for threat detection and mitigation in 5G core networks. In Lecture notes in computer science (pp. 376–385). https://doi.org/10.1007/978-3-032-13714-2_23

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Nair, L. R., Mukherjee, P., & Chatterjee, S. (2025). Securing tomorrow’s connectivity: Developing defenses for 5G-Enhanced IoT technologies. In Securing the Connected World (pp. 263–295). https://doi.org/10.1007/978-3-031-82826-3_8

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Rini Varghese, Pradeep Kumar Kalampukatt, and Umasankar R, “Energy consumption in buildings using machine learning techniques”, 19th International Society for Data Sciences & Innovation (IDSI) Global Conference 2025, 26-29 December 2025, IMI Kolkota, India https://doi.org/10.64558/bllp/044736sdlvtq

Conference

N. E, Pramod., & Satheesh Kumar, K.. (2025). Temporal variations in wind parameters at different locations in India. In Proceedings of the 2025 1st International Conference on Smart and Intelligent Systems (SISCON) (pp. 1–5). IEEE. https://doi.org/10.1109/SISCON66686.2025.11409113

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Gokulnath, K., & Joseph, J. (2025). Design and simulation of a pulsar circuit for short duration high current applications. In Proceedings of the IEEE MAPCON 2025. IEEE.

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Lekshmi, V., Ranjith, K. R., & Joseph, J. (2025). An LCR readout with frequency switching for two-terminal multimodal sensors. In Proceedings of the IEEE MAPCON 2025. IEEE.

Conference

Lekshmi, V., Ranjith, K. R., & Joseph, J. (2025). Next-gen e-skin: Transforming prosthetics with multimodal sensor having two-terminal readout. In Proceedings of the 35th Anniversary World Congress on Biosensors (Lisbon, Portugal, May 19–22, 2025).

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Eapen, R., & Joseph, J. (2025). Towards the point-of-care detection of Phytophthora palmivora, the coconut bud rot pathogen. In Proceedings of the 35th Anniversary World Congress on Biosensors (Lisbon, Portugal, May 19–22, 2025).

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Pavithran, S., & James, A. (2025, December 14). Machine learning-assisted signal integrity prediction in high-speed interconnects. In Proceedings of the 2025 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON) (pp. 1–4). IEEE. https://ieeexplore.ieee.org/abstract/document/11426383

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Kunjuveettil Govind, R., Rajimon, S. A., Sreeju, N. G., & James, A. (2025, December 13). High performing flexible resistive humidity sensors based on biochar nanocomposite towards environmental humidity sensing. In Proceedings of the 2025 IEEE 7th International Conference on Emerging Electronics (ICEE) (pp. 1–4). IEEE. https://ieeexplore.ieee.org/abstract/document/11409833

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Dinesh, D., Remanan, A., & James, A. (2025). Human activity recognition using on-body memristive ESN computing. In Proceedings of the 2025 IEEE Biomedical Circuits and Systems Conference (BioCAS) (pp. 572–575). IEEE. https://doi.org/10.1109/BioCAS67066.2025.00135

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Gopi, A., Davar, S., Nair, V. V., Kabeer, A., Fevens, T., & James, A. (2025). Memristive implementation of variable pixel MRI imaging using Skywater 130 nm PDK. In Proceedings of the 2025 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1–5). IEEE. https://doi.org/10.1109/ISCAS56072.2025.11044259

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Nair, V. V., Ibrahim, J., George, E., & James, A. (2025). Monitoring plant growth: Using EM waves with memristive echo state networks. In Proceedings of the 2025 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1–5). IEEE. https://doi.org/10.1109/ISCAS56072.2025.11043461

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Kurian, D., & Paul, J. S. (2025). Quantitative MRI-based modal-informed transformer network for brain age prediction. In 2025 IEEE Recent Advances in Intelligent Computational Systems (RAICS) (pp. [69-75). IEEE. https://doi.org/10.1109/RAICS66191.2025.11332588

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Kurian, D., Hagberg, G., Scheffler, K., Maurya, S., & Paul, J. S (2025). A morphology-enabled predictor corrector algorithm for gradient echo MRI phase unwrapping. In 2025 ISMRM & ISMRT Annual Meeting & Exhibition (Abstract 4457). Honolulu, HI, USA. https://pure.mpg.de/view/item_3669245

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