Prashant Kumar
Dayananda Sagar College of Engineering, Sardar Vallabhbhai National Institute of Technology Surat, Sardar Vallabhbhai National Institute of Technology, SRM Institute of Science and Technology
About
Prashant Kumar received the Bachelor of Technology in electrical engineering from Hooghly Engineering and Technology College, Hooghly, India, 2009 and M. Tech in power system from S.R.M University, Kattankulathur, India in 2013.He has16 years of teaching experience and 2.8 years of industrial experience. He has completed Ph.D. degree in electrical engineering from Sardar Vallabhbhai National Institute of Technology, Surat, India. He has published several papers in International/National Journals as well as International and National Conference Proceedings. His research area includes power electronics, applications of machine learning, power quality and design of custom power devices.
Employment
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Dayananda Sagar College of Engineering Associate Professor2026 - Present
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Sardar Vallabhbhai National Institute of Technology Surat SRF2019 - 2022
Education
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Sardar Vallabhbhai National Institute of Technology PhD2019 - 2023
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SRM Institute of Science and Technology MTech2011 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (78)
- Sixth-Order-Based Gaussian Kernel LMS and Optimized Fractional-Order Control for Power Quality Enhancement Save
- Power Quality Enhancement Using Dynamic Voltage Restorer With Echo State Network and Type-2 Fuzzy Logic Control Save
- Adaptive filtering and fractional order PID control algorithm for power quality enhancement Save
- Dynamic Voltage Restorer With Integration of Least Mean Square and Optimal Type-2 Fuzzy Save
- Exponential function LMS and fractional order pid based voltage power quality enhancement in distribution network Save
- Intelligent Solution for Voltage Profile Enhancement Using Dynamic Voltage Restorer Save
- Performance investigation of dynamic voltage restorer for power quality enhancement and signal conditioning based on machine learning Save
- Power Quality Enhancement Using AZQLMS and Fractional Order PID Based Control Through Dynamic Voltage Restorer Save
- Power Quality Improvement in Distribution Network with Optimized Feedforward Neural Network and Fraction Order PID Control Save
- Power quality improvement of distribution system using adjoint LMS and Takagi Sugeno based control strategy Save