Chakravarthula S K Raju - RV University

Chakravarthula S K Raju

Assistant Professor


  • About
  • Publication & Works
  • Research Summary
  • Awards & Achievements

Dr. Chakravarthula S K Raju (CSK Raju), an accomplished academic with a strong foundation in applied mathematics. I obtained my M.Sc. in Applied Mathematics from S.V. University in Tirupathi, where I developed a keen interest in fluid dynamics and mathematical modeling. This passion led me to pursue a doctoral degree at VIT University in Vellore, where my research focused on complex fluid behaviors and their applications in various engineering fields. Following my Ph.D., I furthered my expertise through a postdoctoral fellowship at Hanyang University in South Korea, where I engaged in cutting-edge research and collaborations.

Throughout my academic career, I have published over 180 research articles in peer-reviewed, ISI/SCIE-indexed international journals, making significant contributions to the fields of mathematics and engineering. I also authored a book for Elsevier, further solidifying my role as a thought leader in my area of expertise. Notably, several of my articles are included in the highly cited database on Web of Science, reflecting the impact and relevance of my work.

In addition to my research, I serve as an external research advisory committee member for VTU and CMR University, helping to guide and shape academic programs and research initiatives. I have been recognized in Stanford University’s top 2% scientist database for the last five years (2020-2024), a testament to my ongoing contributions to the scientific community. I also hold an Associate Editorial Board membership for “Advances in Mechanical Engineering,” published by Sage.

Currently, I am an Assistant Professor at the School of Computer Science and Engineering at RV University. Here, I leverage my seven years of experience to mentor and guide students across undergraduate, postgraduate, and doctoral programs, fostering the next generation of innovators and researchers.

Golden divider

Always be in Dynamic position to update the knowledge as per current era.

Raju, C.S.K. , Sajjan, K. , Yook, S.-J. , Heat transfer characteristics of rectangular/triangular/convex-shaped fins filled with hybrid nanoparticles under dry and wet conditions, Physics of Fluids, 2023, 35(11), 112010


Raju, C.S.K. , Sandeep, N. , Unsteady three-dimensional flow of Casson-Carreau fluids past a stretching surface Alexandria Engineering Journal, 2016, 55(2), pp. 1115–1126


Raju, C.S.K. , Sandeep, N. , Heat and mass transfer in MHD non-Newtonian bio-convection flow over a rotating cone/plate with cross diffusion, Journal of Molecular Liquids, 2016, 215, pp. 115–126


Raju, C.S.K. , Ahammad, N.A. , Sajjan, K. , ... Yook, S.-J. , Kumar, M.D., Nonlinear movements of axisymmetric ternary hybrid nanofluids in a thermally radiated expanding or contracting permeable Darcy Walls with different shapes and densities: Simple linear regression, International Communications in Heat and Mass Transfer, 2022, 135, 106110


Raju, C.S.K. , Hoque, M.M. , Sivasankar, T., Radiative flow of Casson fluid over a moving wedge filled with gyrotactic microorganisms , Advanced Powder Technology, 2017, 28(2), pp. 575–583.


Research Databases:

Sci Profile: https://sciprofiles.com/profile/1266700


Web of Science: https://www.webofscience.com/wos/author/record/M-6808-2016


  • Doctoral Thesis: "Heat and Mass Transfer Investigations of Magneto-hydrodynamic Fluid Flows"
  • Focus: Investigated heat and mass transfer in magneto-hydrodynamic (MHD) fluid flows.
  • Geometrical Approach:
  • Cone-Shaped Geometries:
  • Essential for directional flow control.
  • Enhances mixing in certain applications.
  • Plate-Shaped Geometries:
  • Critical for maximizing surface area.
  • Improves heat transfer efficiency.
  • Post-Doctoral Research
  • Hybrid Nanofluid Models:
  • Developed advanced models incorporating various nanoparticles.
  • Addressed industrial needs for enhanced thermal and fluid properties.
  • Data-Driven Approaches:
  • Initiated research on multi-linear regression characteristics of fluid flow.
  • Utilized data from heat and mass transport phenomena and imaging technologies for analysis.
  • Publication Record:
  • Published findings in top-tier journals, showcasing research relevance.
  • Technical Expertise
  • Mathematical Modeling:
  • Proficient in nonlinear flow modeling.
  • Numerical and Analytical Simulation:
  • Experienced in solving complex fluid dynamics problems.
  • Machine Learning Applications:
  • Leveraged machine learning to analyze and predict fluid behavior.
  • Research Interests:
  • Nonlinear Modelling and Simulation
  • Fluid Dynamics
  • Mathematical Biology
  • Linear and Nonlinear Stability
  • Quantum Mechanics for fluid flow
  • Battery Efficiency Optimization using AI models via Comsol
  • Mathemtical modeling for drug delivery applications
  • Listed in the Top 2% research scientists database given by Stanford University during the years (2020), (2021), (2022), (2023), and (2024).

  • Selected as an Associate Editorial Board member of the SCI indexed journal "Advances in Mechanical Engineering," Sage Publisher.

  • Appreciation of the researcher award for publishing the scopus-indexed journals from VIT University.

  • My first doctoral student (Maddina Dinesh Kumar) is selected for the postdoctoral program at Hanyang University, QS world ranking #164.

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