1. Vishweshwara P S, N Gnanasekaran and Arun M, 2020, Inverse Approach using Bio-Inspired algorithm within Bayesian Framework for the Estimation of Heat Transfer Coefficients during Solidification of Al-4.5wt%Cu Alloy, ASME Journal of Heat Transfer [SCIE-Impact factor 1.602].doi.org/10.1115/1.4045134.
2. Nakate, P., Kotresha, B. and Gnanasekaran, N., 2019. Inexpensive Computations Using Computational Fluid Dynamics Combined With Asymptotics Applied to Laminar Mixed Convection in a Vertical Channel. Journal of Heat Transfer, 141(12). [SCIE-Impact factor 1.602].doi.org/10.1115/1.4044698.
3. Vishweshwara, P.S., Harsha Kumar, M.K., Gnanasekaran, N. and Arun, M., 2019. 3D coupled conduction-convection problem using in-house heat transfer experiments in conjunction with hybrid inverse approach. Engineering Computations. https://doi.org/10.1108/EC-11-2018-0496. [SCIE- Impact factor: 1.246].
4. Narendran, G., Gnanasekaran, N. and Perumal, D.A., 2019. Thermodynamic irreversibility and conjugate effects of integrated microchannel cooling device using TiO 2 nanofluid. Heat and Mass Transfer, pp.1-17.[SCI-Impact factor 1.551]https://doi.org/10.1007/s00231-019-02704-z
5. Narendran, G., Gnanasekaran, N. and Arumuga Perumal, D., 2019. Experimental Investigation on Heat Spreader Integrated Microchannel Using Graphene Oxide Nanofluid. Heat Transfer Engineering, pp.1-23. [SCI-Impact factor 1.216]. https://doi.org/10.1080/01457632.2019.1637136
6. Vishweshwara, P.S., Gnanasekaran, N. and Arun, M., 2019. Simultaneous estimation of unknown parameters using a-priori knowledge for the estimation of interfacial heat transfer coefficient during solidification of Sn–5wt% Pb alloy—an ANN-driven Bayesian approach. Sādhanā, 44(4),p.100., https://doi.org/10.1007/s12046-019-1076-2 , 2018. [SCIE- Impact factor: 0.769]
7. Kotresha, Banjara, and N. Gnanasekaran. "Determination of interfacial heat transfer coefficient for the flow assisted mixed convection through brass wire mesh." International Journal of Thermal Sciences 138 (2019): 98-108.[SCI-Impact factor 3.7] https://doi.org/10.1016/j.ijthermalsci.2018.12.043
8. Kotresha, B., Gnanasekaran, N. and Balaji, C., 2019. Numerical Simulations of Flow-Assisted Mixed Convection in a Vertical Channel Filled with High Porosity Metal Foams. Heat Transfer Engineering, pp.1-12.doi.org/10.1080/01457632.2018.1564208
9. Kotresha, Banjara, and N. Gnanasekaran. "A Synergistic Combination of Thermal Models for Optimal Temperature Distribution of Discrete Sources Through Metal Foams in a Vertical Channel." Journal of Heat Transfer 141.2 (2019): 022004. [SCIE-Impact factor 1.602] doi:10.1115/1.4041955.
10. Kotresha, Banjara, and N. Gnanasekaran. "Numerical Simulations of Fluid Flow and Heat Transfer through Aluminum and Copper Metal Foam Heat Exchanger–A Comparative Study." Heat Transfer Engineering accepted (2018): 1-13. [SCI-Impact factor 1.216] https://doi.org/10.1080/01457632.2018.1546969.
11. Harsha Kumar, M.K., Vishweshwara, P.S., Gnanasekaran, N. and Balaji, C., 2018. A combined ANN-GA and experimental based technique for the estimation of the unknown heat flux for a conjugate heat transfer problem.Heat and Mass Transfer,54(11),pp.3185-3197. DOI: https://doi.org/10.1007/s00231-018-2341-3, [SCI, Impact factor 1.551].
12. Kotresha, B. and Gnanasekaran, N., 2018. Investigation of Mixed Convection Heat Transfer Through Metal Foams Partially Filled in a Vertical Channel by Using Computational Fluid Dynamics. Journal of Heat Transfer, 140(11), p.112501. [SCIE-Impact factor 1.602] doi: 10.1115/1.4040614.
