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Dr. K. Nagesh

Assistant Professor
Department of Mechanical Engineering

Education

Degree Specialization University/Institute Name, Year
Ph.D Thermal Engineering IIT Madras, Chennai, 2020
M.Tech Energy science and engineering IIT Bombay, Mumbai, 2010
B.E Mechanical Engineering Mysore /MCE Hassan, 1997
Diploma Mechanical Engineering Board/VISSJ Polytechnic, 1993

Research Interests

AI driven Electronics cooling, Data-center cooling, Explainable AI (XAI),Explainable Machine learning, Experimental Heat transfer, Fluid dynamics. CFD

Current Courses Taught / Teaching Interest

Heat transfer, Programmable Logic Controller,Fundamentals of Robotics and AI, Engineering graphics (lab), Design thinking (Lab)

Academic Experience / Administrative Experience / Industrial Experience

6 years/ 9 Years,

Achievements / Awards / Recognitions

  • I am an independent researcher and Author. Published four Q1 articles in Elsevier after PhD.
  • Received 25 lakhs scholarship from Government of India through IIT Bombay,Mumbai and IIT Madras, Chennai.
  • GATE-2008 qualified with 98.12 percentile, 340 all India rank

Projects / Selected Publications / Working Papers

S.No Paper Title Journal
International
Volume / DOI Page
No
Date
01 Interpretable machine learning uncovers nonlinear and higher-order interactions in mixed convection jet impingement on protruded surfaces International communications in heat and mass transfer (ELSEVIER) 177/

10.1016/j.icheatmasstransfer.2026.111535
111535 16-05-2026
02 Classification of Micro-Roughness Effectiveness and Impact of Nozzle-to-Plate Distance on Roughness-Induced Micro-Mixing Mechanisms in Enhancing Jet Impingement Cooling: An Integrated Machine Learning Approach International communications in heat and mass transfer (ELSEVIER) 166/

https://doi.org/10.1016/j.icheatmasstransfer.2025.109030
109030 30-05-2025
03 Exploring turbulence and micro-scale mixing mechanisms for enhancing jet impingement heat transfer using micro-roughness elements: A data-driven and numerical analysis International communications in heat and mass transfer (ELSEVIER) 162/

https://doi.org/10.1016/j.icheatmasstransfer.2025.108646
108646 05-02-2025
04 Machine learning algorithms to study the relative roles of jet convection and natural convection in the presence of surface roughness elements on the enhancement of jet impingement heat transfer. International Journal of Thermal Sciences (ELSEVIER) 198/

https://doi.org/10.1016/j.ijthermalsci.2023.108847
108847 14-12-2023
05 Enhancement of jet impingement heat transfer using surface roughness elements at different heat inputs. Experimental Thermal and Fluid Science (ELSEVIER) 112/

https://doi.org/10.1016/j.expthermflusci.2019.109995
109995 17-11-2019
06 Heat transfer characteristics of single circular jet impinging on a flat surface with a protrusion. Heat Mass Transfer (SPRINGER) 56(6)/

https://doi.org/10.1007/s00231-020-02814-z
1901–1920 12-01-2020

Other Information

  • Four-Faculty development programs (FDP) successfully completed in SRMUH.
  • Two- research article under progress in Explainable AI and Heat transfer. They are expected to be complete by academic year 2026-27.
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SRMUH Third Convocation 2025