Dinesh kumar Maddina

Employment

• School of Mechanical Engineering Researcher
  2024 - Present
• BV Raju Institute of Technology Assistant Professor
  2023 - Present
• GITAM Deemed to be university Teaching Assistant
  2021 - 2023
• GITAM Deemed to be university Teaching Assistant
  2021 - 2023

Education

• GITAM Deemed to be university PH.D
  2020 - 2023
• SVU College of Sciences M.SC ( Applied Mathematics )
  2017 - 2019
• SV Arts College B.SC (MSCS)
  2014 - 2017
• Sri Vasista junior college Intermediate
  2012 - 2014
• ST Mary’s high school SSC (Secondary school certificate )
  2011 - 2012
• Universidad a Distancia de Madrid

Projects & Funding

Projects & funding information is unavailable.

Publications (59)

• Deep Learning‐Based Magnetohydrodynamic Analysis of Tetra‐Hybrid Nanofluid Flow With Seawater at 20°C Over Bullet‐Shaped Structures
  ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 2026 DOI: 10.1002/zamm.70552
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• Levenberg–Marquardt neural network prediction of MHD hybrid nanofluid flow between parallel plates: Aerospace applications
  Ain Shams Engineering Journal 2026 DOI: 10.1016/j.asej.2026.104382
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• Response surface optimization design for chemotaxis-driven motile microorganism non-linear dynamics in squeezing channel flow
  Chaos, Solitons & Fractals 2026 DOI: 10.1016/J.CHAOS.2026.118827
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• Particle swarm optimization (PSO) and Richardson finite difference extrapolation on nonlinear radiated stenosis artery filled with ternary nanoparticles
  International Journal of Modelling and Simulation 2026 DOI: 10.1080/02286203.2026.2680219
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• Optimization of Heat Transfer Rate in Dusty Fluid Flow Over a Stretching Riga Sheet Using Response Surface Methodology: Application to Industrial Coating Processes
  ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 2026 DOI: 10.1002/ZAMM.70427
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• Heat transfer analysis of non-Newtonian hybrid nanofluid flow over a stretching surface using an artificial neural network
  Discover Nano 2026 DOI: 10.1186/S11671-026-04687-3
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• Gradient descent optimisation and contour analysis of Cu-CuO/blood hybrid nanofluid unveiling non-Newtonian flow dynamics for sports biomedical applications
  Nanotechnology Reviews 2026 DOI: 10.1515/NTREV-2025-0313
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• Entropy generation and radiative heat transfer in Darcy-Forchheimer flow of a dusty-hybrid nanofluid
  Journal of Thermal Analysis and Calorimetry 2026 DOI: 10.1007/S10973-026-15824-6
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• Dielectric nanofluids for transformer cooling: Performance, challenges, and towards smart and sustainable thermal management
  Materials Today Sustainability 2026 DOI: 10.1016/J.MTSUST.2026.101361
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• Deep learning-based prediction of heat transfer in Newtonian fluid flow over convective cone and wedge surfaces
  International Communications in Heat and Mass Transfer 2026 DOI: 10.1016/J.ICHEATMASSTRANSFER.2026.111399
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