Arvind Kumar Prajapati
National Institute of Technology Jamshedpur, VIT AP University, Indian Institute of Technology Roorkee, National Institute of Technology, Madanapalle Institute of Technology & Science
About
I have received the B.Tech. degree with Gold-Medal in electrical engineering from V.B.S. Purvanchal University, Jaunpur in 2013. I have completed M.Tech. degree in electrical engineering from National Institute of Technology Silchar, India in 2015. I have served as an Assistant Professor in the electrical engineering department of V.B.S. Purvanchal University Jaunpur. I have completed Ph.D. degree in the department of electrical engineering, Indian Institute of Technology Roorkee, Uttarakhand, India in 2019.
Currently, I am working as an assistant professor in electrical engineering department, NIT Jamshedpur, India. My research areas are control systems, model order reduction, fault detection and accommodation of dynamical systems, and integrated vehicle health management system.
Email: [email protected], [email protected], [email protected]
Employment
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National Institute of Technology Jamshedpur Assistant Professor2022 - Present
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VIT AP University Assistant Professor Sr. Grade-I2020 - 2022
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Madanapalle Institute of Technology & Science Senior Assistant Professor2019 - 2019
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Veer Bahadur Singh Purvanchal University Assistant Professor2015 - 2015
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Prasad Institute of Technology Guest Lecturer2015 - 2015
Education
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Indian Institute of Technology Roorkee Ph.D.2015 - 2019
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National Institute of Technology M.Tech.2013 - 2015
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Veer Bahadur Singh Purvanchal University B.Tech.2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (44)
- A New Model Reduction Technique for the Design of Controller for the Large-Scale Dynamical Systems Save
- Order Reduction of Real Time Electromechanical Systems by Using a New Model Order Reduction Method and Controller Design Save
- Experimentally Validated PIλ Controller and Modelling of DC Servo-motor for Industry Applications Save
- Hybrid PCA-Based Machine Learning Models for Predictive Analytics in Urban Health Monitoring Systems Save
- Preface Save
- A New Model Reduction Technique for the Simplification and Controller Design of Large-Scale Systems Save
- Adaptive-DMPC based energy management and pre-installation techno-economic analysis of a grid-tied cyber-physical community microgrid Save
- Analysis and Simulation of Lithium-ion Battery Cell Balancing by using the Matlab for Electric Vehicle Save
- Grid-Integrated EV Charging Infrastructure Save
- A Comprehensive Power Management Approach for Hydrogen Fuel-cell-Based Hybrid EVs Using PID Controller Save