• Nanofluid Heat Transfer in Compact Heat Exchangers
• Investigation of thermal performance, heat transfer enhancement and thermophysical properties of nanofluids used as coolants in compact heat exchangers, particularly for high-performance applications such as aviation and advanced thermal systems.
• Thermodynamic Analysis of Thermal Systems
  Study of entropy generation, exergy efficiency, energy balance, heat transfer coefficient, Reynolds number, Nusselt number, friction factor and pumping power in thermal-fluid systems.
• Artificial Intelligence and Machine Learning in Heat Transfer
  Application of ANN, CNN and data-driven models to predict heat transfer performance, entropy generation, and thermodynamic behaviour of nanofluid-based systems.
• Experimental and Computational Thermal-Fluid Analysis
  Integration of experimental heat transfer data with computational modelling, regression analysis and uncertainty analysis to optimise thermal system performance.

• Biophysics of Insect Flight, Springer Series in Biophysics 22 (ISBN: 978-981-16-5184-7), Pages 77–87.
• S. Devireddy, C. S. R. Mekala, and V. R. Veeredhi, “Improving the cooling performance of automobile radiator with ethylene glycol water-based TiO2 nanofluids”, International Communications in Heat and Mass Transfer, vol. 78, pp. 121–126, Nov. 2016, doi: https://doi.org/10.1016/j.icheatmasstransfer.2016.09.002.
• D. Sreedhar, S. Devireddy, and V. R. Veeredhi, “Synthesis and study of reduced graphene oxide layers under microwave irradiation”, Materials Today: Proceedings, vol. 5, no. 2, pp. 3403–3410, 2018, doi: https://doi.org/10.1016/j.matpr.2017.11.585.
• D. Sreedhar, S. Devireddy, and V. Rao Veeredhi, “Facile synthesis and thermal analysis of antimony telluride nanostructures”, Materials Today: Proceedings, vol. 5, no. 2, pp. 5097–5102, 2018, doi: https://doi.org/10.1016/j.matpr.2017.12.089.
• D. Sandhya, T. Sithebe, and V. V. Rao, “Experimental studies on the thermal performance of MWCNT-based transformer oil in a plate-fin heat exchanger” Advances in Mechanical and Materials Engineering, vol. 42, pp. 251–259, 2025, doi: https://doi.org/10.7862/rm.2025.19.
• T. Sithebe, D. Sandhya, and V. V. Rao, “Measurement of overall heat transfer coefficient and friction factor in a plate fin heat exchanger with nano MgO-based transformer oil”, Journal of Mines, Metals and Fuels, pp. 3365–3378, Nov. 2025, doi: https://doi.org/10.18311/jmmf/2025/48826.
• D. Sandhya, T. Sithebe, and V. V. Rao, “Relative thermo-hydraulic performance of mono and hybrid transformer nanofluid in a plate fin heat exchanger – an experimental study”, Advances in Mechanical and Materials Engineering, vol. 43, no. 1, pp. 43–54, 2026, doi: https://doi.org/10.7862/rm.2026.4.
• Devireddy Sandhya, Thembelani Sithebe, Veeredhi Vasudeva Rao, "Experimental studies to determine the overall heat transfer coefficient in plate fin heat exchanger with MgO-CuO based hybrid nano-transformer oil”, SSRG International Journal of Mechanical Engineering, vol. 12, no. 9, pp. 1–14, 2025. https://doi.org/10.14445/23488360/IJME-V12I9P101

• Devireddy Sandhya, Thembelani Sithebe, and V. V. Rao, “An exclusive review on TiO2-based nanofluids with applications to automotive industry”, Advances in Mechanical and Materials Engineering, vol. 42, pp. 199–230, Jan. 2025, doi: https://doi.org/10.7862/rm.2025.16.
• Devireddy Sandhya, Thembelani Sithebe, Veeredhi Vasudeva Rao, “Pumping power and friction factor in a plate fin heat exchanger with MgO-CuO based hybrid nano-transformer oil”, International Journal of Engineering Trends and Technology (IJETT), vol. 73, no. 9, pp. 175–185, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I9P115

• Investigation of the performance of iron oxide (Fe2O3) SAE10W40 nano engine oil in heat exchanger
• The experimental investigation of thermophysical properties and dielectric properties of hybrid nano transformer oil
• Optimising nanofluids for enhanced heat and mass transfer
• An experimental investigation on quaternary nanofluids with a focus on implementing in plate heat exchanger cooling systems

Sandhya Devireddy is a thermal engineering researcher focused on advancing heat transfer technologies through nanofluids and intelligent modelling techniques. Her work combines experimental analysis with modern machine learning methods to better understand and predict complex thermal-fluid behaviour in heat exchanger systems. She has a strong interest in improving system performance by studying key parameters, including the Nusselt number, entropy generation, and exergy efficiency. By integrating data-driven approaches such as artificial and convolutional neural networks, she aims to develop efficient and reliable predictive models for real-world engineering applications. Passionate about research and innovation, Sandhya is also experienced in scientific writing and actively develops high-quality research papers and review studies in the field of heat transfer and energy systems.