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

Published on by Metallurgy Award

Dr. S. Kudiyarasan | AI in Metallurgy Award 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.

Fabio Dennstadt | AI in Metallurgy Award Research | Best Researcher Award

Published on by Metallurgy Award

Dr. Fabio Dennstadt | AI in Metallurgy Award Research | Best Researcher Award

Center for Artificial Intelligence in Radiation Oncology | Switzerland

Fabio Dennstadt is an emerging researcher and physician-scientist whose academic and clinical career integrates oncology, artificial intelligence, and biomedical data science. His publication record demonstrates a consistent trajectory of high-impact research, with more than 40 peer-reviewed publications across original research, reviews, and perspective articles. His work spans translational immunology, clinical oncology, and AI-based applications in healthcare, including the use of large language models for decision support and clinical trial analysis. With an h-index of 12, his contributions have been recognized through over 620 citations, reflecting the scientific influence and uptake of his research within the community. Dennstadt’s ability to publish in leading international journals such as Oncology, JCO Clinical Cancer Informatics, Systematic Reviews, and BMC Medical Informatics and Decision Making highlights both the quality and relevance of his scholarship. Beyond publications, he has received multiple prestigious awards, including recognition at the World Cancer Congress and the International Conference of Hyperthermic Oncology, affirming his standing as a rising leader in radiation oncology and digital medicine. His editorial board membership and teaching activities further underline his academic service and mentorship. Overall, Fabio Dennstadt’s profile reflects a strong and growing research portfolio with clear interdisciplinary impact, particularly at the interface of oncology and artificial intelligence

Profile: Scopus

Featured Publication

Implementing large language models in healthcare while balancing control, collaboration, costs and security