Dr. Chandra Shekara Guruva Reddy | B.M.S. College of Engineering | India
Dr. Chandra Shekara Guruva Reddy is a dedicated mathematician and researcher specializing in fluid mechanics, applied mathematics, and computational modeling. He earned his Ph.D. in Mathematics from Bangalore University in 2012, focusing on Electrohydrodynamics Surface Instabilities, after completing his M.Sc. and B.Sc. degrees from the same institution with first-class distinction. His research expertise spans spectral methods for fluid flow problems, generalized eigenvalue problems, stability analysis of fluid flows, heat and mass transfer, convective and surface instabilities, and the application of mathematical foundations in data science and machine learning. Dr. Reddy has actively contributed to ISRO-funded research projects as a Junior and Senior Research Fellow under the UGC-CAS in Fluid Mechanics, investigating electrohydrodynamic instabilities under micro-gravity environments. He has published several research papers in reputed international journals and conferences, with over 15 publications, more than 120 citations, and an h-index of 6. His recent works include mathematical modeling of drug delivery in drug-eluting stents and analytical studies on finite amplitude instabilities in double-diffusive flows. In recognition of his contributions, he received the “Best Mathematical Model” award at the 3rd Graduate Modeling Camp, Oxford University, UK, in 2011. Dr. Reddy has participated in academic exchanges with Oxford University, Cardiff University, and the Korean Institute of Science and Technology. A life member of the Indian Mathematical Society (IMS), Indian Society for Theoretical and Applied Mechanics (ISTAM), and the International Association of Engineers (IAENG), he continues to serve as an Assistant Professor in the Department of Mathematics at BMS College of Engineering, Bangalore, teaching advanced courses in linear algebra, numerical methods, graph theory, and mathematical foundations for AI and data science.
Featured Publications
Chandan, R. R., C. R., A., Chandra Shekara, G., Elankeerthana, R., Anitha, K., Sabitha, R., Sathyamurthy, R., Mohanavel, V., & Sudhakar, M. Machine learning technique for improving the stability of thermal energy storage. Energy Reports, 8, 11716–11725.
Chandra Shekara, G. Effect of electric and magnetic fields on the growth rate of Kelvin–Helmholtz instability. Special Topics & Reviews in Porous Media: An International Journal, 10(1), 39–48.
Chandra Shekara, G. Effect of an applied magnetic field and gravity modulation on the time dependent hydro-magnetic instability. Advances in Mathematics: Scientific Journal, 10(1), 39–47.
Chandra Shekara, G. Machine learning approach for cardiovascular risk and coronary artery calcification score. BioMed Research International, 2022, Article 2632770.
Chandra Shekara, G. Solar power generation in smart cities using an integrated machine learning and statistical analysis methods. International Journal of Photoenergy, 2022, Article 5442304.
Chandra Shekara, G. Effect of oblique magnetic and electric fields on the Kelvin-Helmholtz instability at the interface between porous and fluid layers. In Advances in Mathematical Modelling, Applied Analysis and Computation (pp. 241–255). Springer.
Harsha, S. V., Chandra Shekara, G., Hemanth Kumar, C., & Mayur, D. H. Stability analysis of mixed convection of nanofluid flow through a horizontal porous channel using LTNE model. Microgravity Science and Technology, 36(4), Article 10140.
Pavan Kumar, T. V. V., Taranath, N. L., Rahul, R., Chandra Shekara, G., Sapra, P., Thandaiah Prabu, R., Metwally, A. S. M., & Kalam, M. A. Photovoltaic fuzzy-based modelling on defining energy-efficient solar devices in Industry 4.0. Optical and Quantum Electronics, 56(1), 66.