Nawin Ra

Employment

• Vellore Institute of Technology - Chennai Campus Assistant professor
  2023 - Present
• Birla Institute of Technology and Science - Hyderabad Campus Research Scholar
  2020 - 2023

Education

• Birla Institute of Technology and Science, Pilani PhD
  2020 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Hydrogen-powered electric vehicles: A state-of-the-art review
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.111826
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• DC–DC Power Conversion Techniques for Next-Generation EV Chargers: Trends, Challenges, and Future Directions
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3686165
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• Design and simulation of an automated and safe hydrogen fuel cell refueling system
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.108181
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• A Field Validated Modeling and Estimation of Capacity Fade and Its Recovery for Vanadium Redox Flow Battery
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3625246
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• An Analysis of Semi-Supervised Machine Learning in Electrical Machines
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3567047
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• An Evaluation of Battery Degradation and Predictive Methods Under Resistive Load Caused by Intermittent Solar Radiation
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3369914
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• IoT-based smart energy management for solar vanadium redox flow battery powered switchable building glazing satisfying the HVAC system of EV charging stations
  Energy Conversion and Management 2023 DOI: 10.1016/j.enconman.2023.116851
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• Prediction of Optical Performance of Solar PV Under the Impact of Natural Dust Accumulation: Machine Learning Approach
  2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) 2023 DOI: 10.1109/globconht56829.2023.10087364
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• Vanadium Redox Flow Battery System Power Loss Optimization: Genetic Algorithm based Approach
  2023 International Conference on Power Electronics and Energy (ICPEE) 2023 DOI: 10.1109/icpee54198.2023.10059766
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• Prediction of vanadium redox flow battery storage system power loss under different operating conditions: Machine learning based approach
  International Journal of Energy Research 2022 DOI: 10.1002/er.8757
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