Sudhanshu Pandey

Ph.D., Research Scientist

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Personal profile

Research interests

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). 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Engineering, Doctorate, Numerical and Experimental Analyses of Natural Convection in a Square Enclosure in the Presence of Non-Newtonian Fluids, Pusan National University


Award Date: 28 Feb 2021

Engineering, Master, Computational and Experimental Studies of Multi-Mode Heat Transfer in A Square Cavity with Triangular Fins, Indian Institute of Technology, Madras


Award Date: 20 Jul 2016

Skills and expertise

  • Computational fluid dynamics (CFD)
  • Particle image velocimetry (PIV)
  • experimental work
  • HVAC
  • Heat exchanger
  • Phase change material (PCM)
  • Heat transfer
  • Particle-fluid simulations
  • Airborne contaminant control
  • Indoor air quality (IAQ)
  • Matlab
  • Mechanical Engineering
  • Non-Newtonian Fluids
  • Neural Networks
  • Scientific Publishing


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