My research interest is mainly on the development of novel techniques for heat transfer problems particularly natural convection and radiation heat transfer. The novel techniques include direct numerical simulation (In-house code development), Fluent (commercial CFD tool) using User-defined functions (UDF), experimental techniques involving particle image velocimetry (PIV), and deep learning (artificial neural networks and multi-layer perceptron model). 

Addtionally, accurately assess the effectiveness of indoor air conditioning systems in keeping indoor spaces clean and free of viral contamination is an another reserach area which I have been working on lately. Furthermore, I have also carried out numerical investigations for the heat sink, frost growth, and phase change material (PCM).