Dr Varun Kumar R.S.

Dr Varun Kumar R.S.

  • Lecturer
Department of Pure and Applied Mathematics
SDGs Focus

Biography

Dr Varun Kumar R S, a dedicated academic researcher specializing in Mathematics, equipped with a recent Ph.D. from Davangere University in 2023. He has presented 1 paper, engaged in 16 national and international conferences, 7 webinars, and a workshop. Notably, he has authored 50+ Journal publications, and 1000+ citations on Google Scholar and ResearchGate, till date. He has been honoured to be shortlisted as one of the top 2% scientists in the prestigious Scientist List of 2023 by Standford university. 

Possessing a strong academic background and extensive experience in conducting innovative research, he has driven by the curiosity to explore and unravel the complexities of fluid dynamics. His research interests lie at the intersection of theoretical and applied fluid and solid mechanics, where he seek to contribute to the understanding of fundamental principles and apply this knowledge to solve real-world engineering challenges. Proven ability to collaborate effectively with interdisciplinary teams, fostering a dynamic research environment. His collaborative endeavors have enriched his perspective and allowed for the integration of diverse expertise, leading to comprehensive and impactful research outcomes. 

Proficient in computer skills and a quick learner, he communicate effectively and, exhibiting strengths in leadership and student performance assessment. He committed to advancing academic excellence and look forward to further contributing to the scholarly community.

Research Interests

  • Fluid mechanics
  • Solid mechanics
  • Artificial Intelligence
  • Numerical and analytical methods

Notable Publications

2024 -

Madhu, J; Karthik, K; Kumar, RSV; Gowda, RJP; Kumar, RN; Prasannakumara, BC (2024). Dynamics of pollutant dispersion and solid-fluid interfacial layer in Jeffrey nanofluid flow subjected to waste discharge concentration: Implementation of probabilists' Hermite polynomial collocation method. NUMERICAL HEAT TRANSFER PART A-APPLICATIONS. DOI: 10.1080/10407782.2024.2319349

2024 -

Chandan, K., Saadeh, R., Qazza, A., Karthik, K., Varun Kumar, R. S., Kumar, R. N., ... & Kumar, R. (2024). Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method. Scientific reports, 14(1), 7045. Doi: https://doi.org/10.1038/s41598-024-57772-x

2024 -

Kumar, C., Srilatha, P., Karthik, K., Somashekar, C., Nagaraja, K. V., Varun Kumar, R. S., & Shah, N. A. (2024). A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, e202300712. doi: https://doi.org/10.1002/zamm.202300712

2024 -

Kannan, G. P., Nagaraja, K. V., Madhukesh, J. K., Kumar, R. V., & Kumar, R. N. (2024). An effective higher order finite element computation method for analyzing the eddy current losses in induction motors using subparametric transformations. Partial Differential Equations in Applied Mathematics, 100652. doi: https://doi.org/10.1016/j.padiff.2024.100652

2024 -

K C.; Srilatha P.; K K.; Varun Kumar R.S.; Alghamdi M.; Muhammad T.; Kumar R. (2024). Thermal performance of wetted concave fin of functionally graded material: An application of Laguerre-based collocation approach. NUMERICAL HEAT TRANSFER, PART B: FUNDAMENTALS. DOI: 10.1080/10407790.2024.2333019