Vikram Singh | Renewable Energy | Best Researcher Award

Mr. Vikram Singh, National Institute of Technology, India.

Vikram Singh is a dedicated researcher and educator in electrical engineering, specializing in fault detection and reconfiguration in multilevel inverters for renewable energy systems . Currently pursuing a Ph.D. at NIT Raipur, he has extensive experience in power electronics, artificial intelligence applications, and renewable energy. With a strong background in hardware and software simulation, he has contributed to multiple international conferences and journals . Vikram has also worked as an Assistant Professor at Kalinga University and actively participates in academic workshops and training programs. His passion for innovation and academic excellence drives his research in power system resilience.

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

Vikram Singh’s research primarily focuses on power electronics, artificial intelligence, and renewable energy systems . His Ph.D. work revolves around AI-based fault detection and reconfiguration in multilevel inverters, crucial for enhancing the reliability and efficiency of standalone and grid-connected renewable energy systems. His expertise extends to machine learning algorithms, FPGA-based control systems, and hybrid inverter design. Vikram has published extensively in IEEE, Springer, and SCI-indexed journals, contributing to advancements in fault-tolerant power systems. His work aims to develop intelligent, resilient, and sustainable energy solutions for the future of renewable power generation.

Publication Top Noted

1️⃣ 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)

2️⃣ Open circuit fault diagnosis and fault classification in multi-level inverter using fuzzy inference system ( Serbian Journal of Electrical Engineering, 2023)

3️⃣ 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)

4️⃣ 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)

5️⃣ 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)

6️⃣ 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)

7️⃣ Performance Evaluation of A Shunt Active Power Filter For Current Harmonic Elimination ( IEEE Region 10 Symposium (TENSYMP), 2021)