Dr. Yashwant Singh Bisht

About

Publication Scopus Indexed- 135+
Patent Published- 45+
Patent Grant-05
Authored Books Chapter - 25+



Dr. Yashwant Singh Bisht is an Assistant Professor in the Department of Mechanical Engineering (ME) at Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, Uttarakhand. He is pursuing his Ph.D, topic on “MODELLING & ANALYSIS ON JET IMPINGEMENT PATTERNS SURFACE FOR HEAT TRANSFER ENHANCEMENT ” in Mechanical engineering from Uttaranchal University, Dehradun. He has around 12 years of academic experience. His areas of interest are Energy, Jet Impingement, Material Characterization, Automation, etc. He has published various patents, and research papers in reputed journals (UGC/Scopus/SCI/SCIE) as well as published three books chapter in international publication.
He has also been associated with many conferences at the National and International level and organized many conferences like STEM-2017, IDVRP-22,AIC2024, ME 2024, ICSD-2024 , CVR 2024, Empowering Tomorrow Clean Energy, Climate Action, and Responsible Production. editorial board member in various reputed national/international journals. He has chaired many International and National webinar in many events.

Employment

• Uttaranchal Institute of Technology Assistant Professor
  2014 - Present

Education

• Uttaranchal University

Projects & Funding

Projects & funding information is unavailable.

Publications (311)

• Phytochemical Mediated Green Synthesis of Montmorillonite Nanoclay using Aloe vera Extract: A Sustainable Approach to Nanomaterial Engineering
  Asian Journal of Chemistry 2026 0 citations DOI: 10.14233/ajchem.2026.36304
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• Ir4–BSe and Rh4–BSe heterojunction systems as highly efficient sensor platforms for detection of NO2, SO2 and SOCl2 gas molecules: A first principles study
  Materials Chemistry and Physics 2026 1 citation DOI: 10.1016/j.matchemphys.2026.132124
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• Development of evolutionarily optimized random forest models to accurately estimate coke strength after reaction
  Results in Engineering 2026 2 citations DOI: 10.1016/j.rineng.2026.109045
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• Predictive modeling of Oil–Water interfacial tension using biosurfactant parameters and machine learning approaches
  Chemometrics and Intelligent Laboratory Systems 2026 1 citation DOI: 10.1016/j.chemolab.2026.105632
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• Integration of COMSOL Multiphysics Simulations and Machine Learning Algorithms for Predictive Optimization of Lithium-Ion Battery Efficiency
  Journal of The Electrochemical Society 2026 3 citations DOI: 10.1149/1945-7111/ae482e
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• Electrical and magnetic properties of nanostructured materials: Challenges and opportunities
  AIP Conference Proceedings 2026 0 citations DOI: 10.1063/5.0318357
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• A novel data driven approach to model effective interfacial area in rotating packed beds
  Chemical Papers 2026 0 citations DOI: 10.1007/s11696-025-04630-3
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• Microstructural Evolution and Electrical Reliability of TiO2-Reinforced SAC Solder Interconnections under Thermomechanical Fatigue
  Journal of Electronic Materials 2026 3 citations DOI: 10.1007/s11664-025-12669-x
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• Experimental evaluation of alumina nanoparticle additives in sunflower oil methyl ester for enhanced CI engine performance and emission control
  Scientific Reports 2026 3 citations DOI: 10.1038/s41598-026-35034-2
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• Optimizing the multifunctional properties of a laser-melted PLA/HDPE/SiO 2 /GPN nanocomposite using response surface methodology
  Journal of Thermoplastic Composite Materials 2026 0 citations DOI: 10.1177/08927057261415882
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