Dr. Kavya S
Assistant ProfessorAbout
Dr. Kavya S
Assistant Professor, School of Computer Science and Engineering
RV University, Bengaluru
Dr. Kavya S is an Assistant Professor at the School of Computer Science and Engineering, RV University, Bengaluru. She holds a Ph.D. in Mathematics from Presidency University, Bengaluru, with a thesis on the Numerical Exploration of MHD Flow in a Suspension of Newtonian/Non-Newtonian Hybrid Nanofluid over a Cylinder, and completed her M.Sc. and B.Sc. from the University of Mysore, graduating with a Gold Medal in her undergraduate degree.
Prior to joining RV University, she served as Assistant Professor in Mathematics at NMIMS (Deemed to be University), Bengaluru, and at ATME College of Engineering, Mysuru, where she taught a wide range of courses including Calculus, Differential Equations, Linear Algebra, Probability and Statistics, Operations Research, and Data Visualization using Python, Tableau, and Power BI, across programs in Data Science, Applied Statistics, Engineering, Economics, and Commerce.
Her areas of specialization include Fluid Dynamics, Applied Mathematics, Statistics. Her research on hybrid nanofluid flow and heat transfer has been published in reputed journals such as the International Communications in Heat and Mass Transfer and ZAMM and other reputed Scopus indexed & Web of Science journals with contributions to international conferences in India. She has co-authored a book, Introduction to Linear Algebra with its Applications for Data Scientists and Engineers (2020), and was recognized as the Best Researcher (2021–22) at NMIMS Bengaluru.
An active resource person, she has led faculty development workshops on Python, R, and SPSS for research and data analytics, including sessions at the University of Mysore. She is committed to mentoring students, guiding research projects, and fostering interdisciplinary learning at the intersection of mathematics, statistics, and computer science.
This study examines the flow behavior of magnetic-hybrid nanoparticles over a stretching/shrinking cylinder, focusing on a suspension combining MoS4 and copper nanoparticles. The research explores how magnetic fields influence heat and mass transfer characteristics in hybrid nanofluid systems, contributing valuable insights to thermal engineering applications. Published in the International Communications in Heat and Mass Transfer (2022), this work is Scopus and Web of Science indexed with an impact factor of 5.683, placed in the Q1 category — reflecting its significance in the field of nanofluid dynamics and heat transfer research.
Link: https://doi.org/10.1016/j.icheatmasstransfer.2022.106150
This research investigates the thermal behavior of Williamson Hybrid Nanofluid flow, analyzing how varying nanoparticle shape factors influence heat transfer efficiency. The study offers a deeper understanding of non-Newtonian fluid dynamics under different geometric configurations, with implications for industrial cooling and thermal management systems. Published in ZAMM (Journal of Applied Mathematics and Mechanics) (2023), this Scopus-indexed, SCI journal paper carries an impact factor of 2.3 and is ranked Q2, underscoring its contribution to applied mathematics and fluid mechanics’ research.
This paper studies the dynamics of opposing and assisting flows of hybrid nanofluids past a stretching cylinder, incorporating the Boussinesq approximation and slip effects across both Newtonian and non-Newtonian base fluids. The work provides comparative insights into flow stability and heat transfer performance under varying fluid models. Published in the Journal of Mines, Metals and Fuels (2024), this Scopus-indexed paper (IF 0.11, Q4) adds to the growing body of research on hybrid nanofluid behavior in engineering applications.
Link: 10.18311/jmmf/2023/35070
This book chapter explores the role of Arrhenius kinetics in governing chemical reaction rates within ternary hybrid nanofluid flow systems. The work examines how activation energy and temperature-dependent reactions affect nanofluid transport properties, offering theoretical groundwork for applications in chemical and thermal engineering. Co-authored with Dr. V. Nagendramma, this chapter was published in Nanofluid Heat Transfer (2025) by Wiley, and is Scopus indexed — reflecting its contribution to advanced nanofluid research literature.
Focuses on magnetohydrodynamic (MHD) flow and heat transfer in hybrid and ternary nanofluids over stretching/shrinking cylinders
Investigates Newtonian and non-Newtonian fluid models, including Williamson hybrid nanofluid behavior
Studies the influence of shape factors, slip effects, and Boussinesq approximation on thermal and flow characteristics
Explores Arrhenius kinetics and chemical reaction effects in nanofluid transport phenomena
Applies numerical and computational methods to model complex fluid dynamics problems
Contributes to interdisciplinary research bridging applied mathematics, fluid mechanics, and nanotechnology
Actively engaged in statistical estimation techniques, including nonparametric methods for ranked set sampling
Best Researcher (2021–22)
Awarded by NMIMS (Deemed to be University), Bengaluru, in recognition of outstanding contributions to research and academic excellence.
Published Book Co-Author
Co-authored Introduction to Linear Algebra with its Applications for Data Scientists and Engineers, published in 2020.
Gold Medalist, B.Sc. Mathematics & Statistics
Received Gold Medal and cash prize from the University of Mysore for academic excellence in undergraduate studies.
Data Science Certification
Completed professional certification in Data Science in 2025, strengthening expertise in analytics and computational tools.
Dr. Kavya S
Assistant Professor
School of Computer Science and Engineering
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kavyas@rvu.edu.in -
Bengaluru
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