Sridharan Mohan

About

I am Dr. Sridharan, currently serving as an Associate Professor (Research Track) in the School of Mechanical Engineering at SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu, India. I hold a Ph.D. in Solar Energy Engineering from Anna University, Chennai, and bring around 10 years of teaching experience to my academic role. My research focuses on the design and development of cognitive models, enhancing heat transfer, and applying machine learning techniques to optimize renewable energy systems.

Employment

• SRM Institute of Science and Technology Associate Professor (Research Track)
  2025 - Present
• SRM Institute of Science and Technology Associate Professor
  2024 - 2025
• SRM Institute of Science and Technology Assistant Professor
  2022 - 2024
• K. Ramakrishnan College of Engineering Assistant Professor
  2021 - 2022
• Saranathan College of Engineering Assistant Professor
  2013 - 2020

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• Performance evaluation of a solar flat plate air heater integrated with Zinc oxide based nano-enhanced phase change materials
  Next Materials 2026 DOI: 10.1016/j.nxmate.2026.103051
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• Explainable machine learning framework for CNT-PCM thermal conductivity prediction
  Materials Letters 2026 DOI: 10.1016/j.matlet.2026.140904
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• Precision machining of DMLS Cu electrodes via WEDM: Parameter optimization and predictive modelling for enhanced performance
  Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 2026 DOI: 10.1177/09544089241296722
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• Applying explainable artificial intelligence and ensemble boosting based machine learning models in predicting the thermal conductivity of nano enhanced phase change materials
  Next Materials 2026 DOI: 10.1016/j.nxmate.2026.102395
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• An Explainable Hierarchical Multi-Scale Deep Feature Network for Automated Defect Detection and Segmentation in Al-Mg-MoS2 SEM Images
  2026 DOI: 10.2139/ssrn.6992596
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• Interpretable Machine Learning Model for Rapid Screening of Graphene-Enhanced Phase Change Materials
  2026 DOI: 10.2139/ssrn.7454625
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• Rethinking Effective Interfacial Thermal Resistance in Graphene-Enhanced Phase Change Materials: Insights from Inverse Modelling
  2026 DOI: 10.2139/ssrn.7443056
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• Predicting the heat transfer enhancement in solar flat plate collectors using physics informed neural networks
  International Journal of Ambient Energy 2026 DOI: 10.1080/01430750.2026.2692548
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• Applying ensemble machine learning models to predict hydrogen production rates from conventional and novel solar PV/T water collectors
  International Journal of Hydrogen Energy 2025 DOI: 10.1016/j.ijhydene.2025.01.108
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• A study of the effect of printing process parameters on the delamination and surface finish properties of aluminium-infused PLA printed via material extrusion
  Australian Journal of Mechanical Engineering 2025 DOI: 10.1080/14484846.2023.2231131
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