Dr. Thirupathi Thumma
Also known as: T. Thumma, Thumma T.,, Thirupathi Thumma, Thirupathi, T,
Amity University Hyderabad, Shamshabad
0000-0002-7993-5647
About
Dr. Thirupathi Thumma completed his M.Sc., M. Tech (CSE), and Ph.D. in Applied Mathematics, earning his doctorate in 2019 with a specialization in Computational Fluid Dynamics. He possesses 20 years of teaching experience and has established a strong research profile with 80+ publications, including 61 SCI/SCIE-indexed papers, along with 7 book chapters, 1 authored book, and 18 conference contributions. His work has received 2868 citations, reflected in an H-index of 32 and an i10-index of 50, and he has contributed over 200 peer reviews to reputed international journals. Currently supervising 5 Ph.D. scholars. In recognition of his sustained research impact, he has been ranked among the Top 2% Scientists in the World by Stanford University for four consecutive years (2022–2025).
Employment
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Amity University Hyderabad, Shamshabad Associate Professor2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (83)
- Induced magnetic field effects on stratified Maxwell hybrid nanofluid flow over an inclined stretching cylinder Save
- Transient hydromagnetic couple‐stress flow over an infinite vertical cylinder: A unified numerical exploration of thermal radiation and Arrhenius activation energy kinetics Save
- Exploring the Combined Effects of Chemical Reactions and Thermal Radiation on Micropolar Nanofluid Flow Through a Riga Sensor Surface Save
- Transport of Eyring-Powell nanofluid flow over a Riga surface with binary chemical reaction and convective boundary condition effects Save
- Chebyshev Pseudo‐Spectral Analysis of Convectively Heated Maxwell Fluid Stagnation Point Flow Influenced by Binary Chemical Reaction and Exponential Space‐Based Heat Generation Save
- Correction: Hydromagnetic radiative heat transfer analysis of ferro-hybrid nanofluid thin film flow past an elongating surface with inclined magnetic field and viscous and Joule dissipation: differential transform approach Save
- Machine Learning Artificial Neural Network Approach in Predicting Nusselt Number on Micropolar (CuO–Ag–H2O) Fluid Over an Inclined Surface when the Energy Dissipation Effects are Significant Save
- Finite element modeling of convective dynamics in radiative Casson fluids over electrically conductive inclined Riga surface with non-uniform suction and heat source effects Save
- Neural computational characterization of stokesian micropolar casson fluid flow through and around a darcy porous sphere using feed forward neural networks Save
- Effect of Thermal Radiation and Heat Source on Transient Hydromagnetic MoS2–Fe3O4–C2H6O2 Hybrid Nanofluid Flow within Coaxial Parallel Disks: A Numerical Study Save