Dr. Priya R A | Energy Systems | Best Researcher Award
Assistant Professor, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India
Dr. Priya R. A is a dedicated and accomplished academician with over 13 years of experience in teaching and research. She is currently serving as an Assistant Professor (Senior Grade) in the Department of Electrical and Electronics Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With a strong passion for innovation, she actively engages in research projects and patents, focusing on electrical engineering, electronics engineering, and renewable energy sources. Her expertise extends to curriculum development, guiding students in research, and contributing significantly to advancements in sustainable energy technologies. ⚡📚
Publication Profile
🎓 Education:
Dr. Priya earned her Ph.D. in Electrical and Electronics Engineering from Saveetha University in 2018, where she focused on “A Novel Matrix Converter-Based Wind Energy Conversion System.” She holds an M.Tech in Power Electronics and Drives from SRM University (2011) and a B.E. in Electrical & Electronics Engineering from Bannari Amman Institute of Technology (2001). Her strong academic background has enabled her to contribute extensively to the fields of power systems, renewable energy, and AI-driven energy solutions. 🎓🔋
💼 Experience:
With a career spanning over a decade, Dr. Priya has been instrumental in teaching and mentoring students in electrical and electronics engineering. She has been with Vel Tech Rangarajan Dr. Sagunthala R&D Institute since January 2023, where she actively participates in research initiatives, student project guidance, and the implementation of cutting-edge technology in energy systems. Her expertise also extends to programming languages, embedded systems, and simulation tools such as MATLAB, LabView, and Verilog. 🏫📡
🏆 Awards and Honors:
Dr. Priya has been recognized for her innovative contributions to the field of electrical engineering. She holds a granted patent from the Government of India for “A System for Intransit Charging of Drones” (Patent No. 418362). Additionally, she has applied for multiple patents in the domains of IoT-driven transformer assessment, AI-based Magnus Effect Wind Turbine systems, and brain tumor detection using deep learning. She has successfully completed a SEED Fund Project and submitted high-value research proposals under SERB and TNSCST funding schemes. 🏅🚀
🔬 Research Focus:
Dr. Priya’s research primarily revolves around renewable energy systems, artificial intelligence applications in power electronics, and smart grid technologies. Her work on AI-driven wind turbines, IoT-based electric vehicle batteries, and hybrid optimization techniques reflects her commitment to sustainable and intelligent energy solutions. She has contributed extensively to scientific literature, publishing in reputed journals and international conferences. 🌍🔍
📌 Conclusion:
Dr. Priya R. A is a passionate educator, researcher, and innovator, continuously contributing to advancements in electrical engineering and renewable energy. Her research on AI-integrated wind energy systems, power electronics, and IoT-driven smart grids has significantly impacted the academic and industrial sectors. With multiple patents, funded projects, and high-impact publications, she remains a leader in her field, inspiring the next generation of engineers. ⚡
🔗 Publications:
Reliability effects in solar and wind system during load forecasting uncertainty – Published in the 10th International Conference on Electrical Energy Systems (ICEES) 2024 (DOI: 10.1109/icees61253.2024.10776908).
A Human Activity Determination Predicting Abnormality Using SVM Approach for Mining Field Workers – Presented at the 7th International Conference on Circuit Power and Computing Technologies (ICCPCT) 2024 (DOI: 10.1109/iccpct61902.2024.10673253).
Optimization of renewable system for assessing reliability and cost – Published in the 2nd International Conference on Networking and Communications (ICNWC) 2024 (DOI: 10.1109/icnwc60771.2024.10537541).
Energy management of grid-connected PV with efficient inverter-based wireless electric vehicle battery charger: A hybrid CSA-QNN technique – Published in the Journal of Energy Storage (2024) (DOI: 10.1016/j.est.2023.110255).
Current-mode fuzzy logic controlled Cascaded Quadratic Boost Converter fed DC drive system – Presented in AIP Conference Proceedings (2024) (DOI: 10.1063/5.0216314).
Optimization of Distributed Generation in Radial Distribution Network for Active Power Loss Minimization using Jellyfish Search Optimizer Algorithm – Published in the International Journal of Electrical and Computer Engineering Systems (2024) (DOI: 10.32985/ijeces.15.3.1).
IoT Based Electric Vehicle Battery with Protection Against Fire – Presented at the Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) 2023 (DOI: 10.1109/icuis60567.2023.00010).
Performance Analysis of PMSG Based Wind Energy Conversion System Using Two Stage Matrix Converter – Published in PRZEGLĄD ELEKTROTECHNICZNY (2018) (DOI: 10.15199/48.2018.02.27).