Vikram Singh | Renewable Energy | Best Researcher Award
Mr. Vikram Singh, National Institute of Technology, India.
Publivation Profiles
Orcid
Education and Experience
Ph.D. (Pursuing) – NIT Raipur, Specialization: AI-Based Fault Detection in Multilevel Inverters (2021-Present)
M.Tech (Electrical Power & Energy Systems) – NIT Srinagar, 2016-2018
B.E. (Electrical Engineering) – SSGI Bhilai, 2011-2015
12th (HSC) – BMV Raipur, 2010-2011
10th (SSC) – BMV Raipur, 2008-2009
Work Experience:
Research Scholar – NIT Raipur (2021-Present)
Assistant Professor – Kalinga University, Raipur (Nov 2019 – Jan 2021)
Suitability summary for best researcher Award
Mr. Vikram Singh, a promising researcher and Ph.D. candidate in Electrical Engineering at the National Institute of Technology, Raipur, is awarded the Best Researcher Award for his exceptional contributions in the fields of power electronics, fault detection, and renewable energy systems. His pioneering work, particularly in the application of artificial intelligence techniques in multilevel inverters and renewable energy systems, has had a significant impact on the development of smarter and more resilient power systems. Vikram’s innovative approach and dedication to advancing energy solutions make him a standout researcher in his field.
Professional Development
Vikram Singh is deeply committed to continuous learning and professional growth in power electronics and renewable energy systems . He has successfully cleared GATE (2016, 2017, 2018) and completed a certified Python Data Analytics course
. Actively involved in academic workshops and conferences, he participated in PhD Summer Schools at IIT Bhubaneswar and MANIT Bhopal
. He has also contributed as an organizer for SERB-sponsored workshops. His expertise spans MATLAB, Simulink, PSIM, PLECS, FPGA, and dSPACE controllers, enhancing his analytical and simulation skills for cutting-edge research in AI-powered fault detection.
Research Focus
Switch fault identification scheme based on machine learning algorithms for PV-Fed three-phase neutral point clamped inverter (
e-Prime – Advances in Electrical Engineering, Electronics and Energy, 2024)
Open circuit fault diagnosis and fault classification in multi-level inverter using fuzzy inference system (
Serbian Journal of Electrical Engineering, 2023)
Combined Wavelet and ANN-Based Open-Switch Fault Detection and Classification in PV-Fed Multilevel Inverter (
Journal of The Institution of Engineers (India): Series B, 2023)
Open Switch Fault Diagnosis of Three-Phase Battery-Fed Capacitor Clamped Inverter using Machine-Learning Algorithm (
1st International Conference on Circuits, Power and Intelligent Systems (CCPIS), 2023)
Open-Switch Fault Detection and Classification in Five-Level Neutral-Point-Clamped Inverter by Using Fuzzy Interface System (
IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 2022)
Harmonic Reduction and Reactive Power Improvement using Shunt Active Power Filter and Thyristor-Controlled Reactor (
Second International Conference on Power, Control and Computing Technologies (ICPC2T), 2022)
Performance Evaluation of A Shunt Active Power Filter For Current Harmonic Elimination (
IEEE Region 10 Symposium (TENSYMP), 2021)