S. Kudiyarasan | AI in Life Science Research | Next-Gen Science Innovation

Dr. S. Kudiyarasan | AI in Life Science Research | Next-Gen Science Innovation

Dr. S. Kudiyarasan | NLC India Limited | India

Dr. S. Kudiyarasan, M.E., Ph.D., FIE, C.Eng (Ind), P.Eng (Ind), a highly accomplished professional engineer from India, has established himself as a distinguished researcher in the field of Electrical and Electronics Engineering with expertise spanning nuclear applications, renewable energy systems, and safety-critical technologies. Over his career, he has authored and co-authored several book chapters with reputed publishers such as IntechOpen, contributed to peer-reviewed international journals, and actively participated in both national and international conferences. His academic and professional recognition is also reflected in his service as a peer reviewer for leading journals including Elsevier, IEEE, Springer, and IAES, where he has reviewed more than a dozen manuscripts, showcasing his technical authority and critical insights in the field. According to Google Scholar metrics, Dr. Kudiyarasan has achieved an h-index of 4, with 12 indexed documents and a total of 86 citations, demonstrating the growing influence and impact of his research outputs. His recent works, currently under review with Springer Nature and other reputed publishers, further highlight his contribution to advancing smart grid systems, renewable energy applications, and AI-driven damage assessment models. With a blend of academic rigor, industrial expertise, and government service experience, Dr. Kudiyarasan’s research output reflects both depth and applied relevance.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

Kamatchi, S., Kudiyarasan, S., Jayashankar, H., Vijayalakshmi, S., & Paramasivam, A. Empirical wavelet transform using MUSIC algorithm for near-infrared evaluation of sinusitis. Journal of The Institution of Engineers (India): Series B. Springer.

Premalatha, P., Shilpa, N., Sankaran, V., Alagumariappan, P., Pittu, P. S. K. R., Kamatchi, S., Jayashankar, H., & Kudiyarasan, S. A novel method for detecting cardiac arrhythmias in electrocardiogram signals using the ANFIS classifier. e-Prime – Advances in Electrical Engineering, Electronics and Energy, 9, 100734. Elsevier.

Vijayalakshmi, S., Alagumariappan, P., Velmurugan, N., Kudiyarasan, S., Kamatchi, S., & Jayashankar, H. Design and performance analysis of Manchester coder based body channel communication using FPGA. e-Prime – Advances in Electrical Engineering, Electronics and Energy, 9, 100660. Elsevier.

Biswas, S. S., & Kudiyarasan, S. Optimization of overall heat transfer coefficient of fin tube assembly of frozen seal valve using CFD analysis. SAE International Journal of Materials and Manufacturing, 17(4).

Kudiyarasan, S., Sthalasayanam, N., Sridevi, M., & Sudheesh, A. K. Novel method using transformer moisture equilibrium for removal of absorbed moisture from cellulose paper insulation in power transformers. Journal of The Institution of Engineers (India): Series B. Springer.

Divya Udayan J | AI in Life Science Research | Best Researcher Award

Dr. Divya Udayan J | AI in Life Science Research | Best Researcher Award

Amrita Vishwa Vidyapeetham | India

Dr. Divya Udayan J, Ph.D., currently serving as Assistant Professor (Sl.Gr) at the School of Computing, Amrita Vishwa Vidyapeetham, has established herself as a dynamic researcher in the fields of computer vision, robotics, machine learning, human–computer interaction, augmented and virtual reality, and geospatial technologies. She holds a Ph.D. in Internet and Multimedia Engineering from Konkuk University, South Korea, where she secured the highest, along with an M.Tech in Embedded Systems from Amrita University and a B.Tech in Information Technology from the University of Kerala. Dr. Divya’s research contributions have gained significant recognition globally. Her publications and projects span topics such as 3D procedural modeling, medical and cultural heritage visualizations, terrain fusion, and urban governance applications through CityGML. She has successfully led and collaborated on multiple funded projects supported by institutions in South Korea and India, and her innovative works have earned her accolades such as the IRDP Best Researcher & Innovation Award (2019), NVIDIA GPU and Intel research grants, and best paper awards at major international conferences. With her strong interdisciplinary expertise and impactful contributions, she continues to advance the boundaries of computing research.

Profiles: Scopus | Orcid

Featured Publications

Technological advances for digital twins in the metaverse for sustainable healthcare: A rapid review

Deep learning in monocular 3D human pose estimation: Systematic review of contemporary techniques and applications

Application of Unsupervised Learning in Detecting Behavioral Patterns in E-commerce Customers