SAURABH MANI TRIPATHI

About

Saurabh Mani Tripathi received the B.Tech. degree in electrical and electronics engineering from G.L.A. Institute of Technology and Management, Mathura, India, the M.Tech. degree in electrical engineering with specialization in power electronics and drives from M.M.M. Engineering College, Gorakhpur, India, and the Ph.D. degree in electrical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India. He is currently working as an Associate Professor in electrical engineering with the Kamla Nehru Institute of Technology, Sultanpur, India. He was a recipient of the prestigious “IEI Young Engineers Award (2018–2019)” presented by The Institution of Engineers, India. He was also a recipient of the “Best Teachers Award 2020” presented by Dr. A.P.J. Abdul Kalam Technical University. He achieved HIL Specialist Certification from Typhoon HIL Inc., Switzerland. At the age of 23 years, he has authored his first book titled A Course in Modern Control Systems (Laxmi Publications, New Delhi). Subsequently, he has authored two other books in the domain of electrical engineering namely Analysis of Basic Systems (Laxmi Publications, New Delhi) and Modern Control Systems: An Introduction (Jones & Bartlett Learning, USA). He served as an Editor for the book titled Energy Conversion Systems: An Overview (Nova Science Publisher, USA). He has published several research papers in reputed international journals and various national/international conferences. He is serving as a reviewer for various research journals of international repute. His research interests include renewable energy systems, electrical drives, real-time simulation, and hardware-in-the-loop testing. He is also an Advisory Board Member (Engineering) of Heliyon (A Cell Press journal). He is a member of several professional societies, such as Institution of Engineers (India), International Association of Engineers, and World Academy of Science, Engineering and Technology. He is a Life Member of the Indian Society for Technical Education.

Employment

• Kamla Nehru Institute of Technology Associate Professor (Electrical Engineering)
  2021 - Present
• Kamla Nehru Institute of Technology Assistant Professor
  2009 - 2021
• GLA Institute of Technology & Management Lecturer
  2008 - 2009
• Madan Mohan Malaviya Engineering College Guest Lecturer
  2008 - 2008

Education

• Dr A P J Abdul Kalam Technical University Ph. D.
  2011 - 2016
• Madan Mohan Malaviya Engineering College M. Tech.
  2006 - 2009
• GLA Institute of Technology & Management B. Tech.
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• A Day-Ahead Short-Term Load Forecasting Using M5P Machine Learning Algorithm along with Elitist Genetic Algorithm (EGA) and Random Forest-Based Hybrid Feature Selection
  Energies 2023 DOI: 10.3390/en16020867
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• Hardware-in-the-loop testing of grid-tied PMSG-based wind power generation system with optimum PI parameters
  e-Prime - Advances in Electrical Engineering, Electronics and Energy 2023 DOI: 10.1016/j.prime.2023.100282
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• Explicit damping specification in PI controller design for desired control performance of wind power conversion system with permanent magnet generator
  Electrical Engineering 2022 DOI: 10.1007/s00202-022-01582-9
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• MIL, SIL, and PIL Simulations of a Grid-Tied Inverter
  2022 DOI: 10.1007/978-981-16-6879-1_63
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• Machine Learning Approach for Forecast Analysis of Novel COVID-19 Scenarios in India
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3204804
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• Performance Investigation on Vector Controlled IPMSM Drive Using MIL, SIL, and PIL Simulations
  2022 DOI: 10.1007/978-981-16-6879-1_64
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• Design of PI controller parameters of a CSI‐fed SCIM drive ensuring high damping ratio and maximum system stability
  Advanced Control for Applications 2021 DOI: 10.1002/adc2.85
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• Machine learning applications in power system fault diagnosis: Research advancements and perspectives
  Engineering Applications of Artificial Intelligence 2021 DOI: 10.1016/j.engappai.2021.104504
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• Energy Conversion Systems: An Overview
  Nova Science Publishers 2021
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• Real-Time Evaluation of PMSG-Based Wind Turbine Control Involving PI Controller Parameters Tuned with Explicit Damping Ratio Specification
  2020 DOI: 10.1109/ICE348803.2020.9122971
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