ELUMALAI P.V
Aditya University, Dhanalakshmi College of Engineering, National Kaohsiung University of Science and Technology, Madras Institute of Technology
0000-0002-7536-8200
About
Dr. P. V. Elumalai is an Associate Professor in the Department of Mechanical Engineering at Aditya University. He holds a Ph.D. from Anna University, Chennai, awarded in 2020. His research focuses on alternative fuels, nanofluids, and internal combustion engines. He has published extensively in SCIE and Scopus-indexed journals, earning over 1,800 citations. Recognized among the Top 2% Scientists globally in 2024, he also received the Excellence in Research Award from Shinawatra University, Thailand. Dr. Elumalai serves as a Guest Editor and Editorial Board Member for reputed journals in the field of sustainable energy,
Employment
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Aditya University Associate Professor2020 - Present
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Dhanalakshmi College of Engineering Assistant Professor2013 - 2020
Education
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National Kaohsiung University of Science and Technology Post Doctoral Fellowship2025 - 2026
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Madras Institute of Technology (PhD)2015 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (183)
- Comparative Finite Element Modal Analysis of Reinforced Concrete Cantilever Beams with Four- and Six-Bar Longitudinal Reinforcement Layouts Save
- Bidirectional Wireless Power Transfer for Electric Vehicle Energy Systems Integrating Modelling, Intelligent Control, Communication and Cybersecurity: A Review Save
- Explainable-AI-guided optimisation of hydrogen energy share and ternary-blend composition in a VCR CI engine Save
- Physics-Guided CFD–ML Framework for Sustainable Classical Wire Coating with Power-Law Fluids Save
- Experimental investigation of hydrogen enrichment and nano-catalyst additives for advanced combustion in compression ignition engines Save
- Optimizing Heat Dissipation in Electronics: Assessing Nano‐Fluid Impact and Channel Design Variations Save
- Synergistic effects of ammonia and duckweed bio‐oil water emulsion in an RCCI engine: Experimental and ANN‐based validation Save
- Exploring nanoparticle-based semiconductor materials for sustainable hydrogen production: A short review Save
- Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems Save
- Integrated NiO2-catalyzed reforming of sesame stalk for hydrogen-enriched producer gas and dual-fuel CI engine performance evaluation Save