Vikram Singh | Renewable Energy | Best Researcher Award
Mr. Vikram Singh, National Institute of Technology, India.
Publivation Profiles
Orcid
Education and Experience
Β Ph.D. (Pursuing)Β βΒ NIT Raipur, Specialization:Β AI-Based Fault Detection in Multilevel InvertersΒ (2021-Present)
Β M.Tech (Electrical Power & Energy Systems)Β βΒ NIT Srinagar, 2016-2018
Β B.E. (Electrical Engineering)Β βΒ SSGI Bhilai, 2011-2015
Β 12th (HSC)Β βΒ BMV Raipur, 2010-2011
Β 10th (SSC)Β βΒ BMV Raipur, 2008-2009
Β Work Experience:
Β Research ScholarΒ β NIT Raipur (2021-Present)
Β Assistant ProfessorΒ β Kalinga University, Raipur (Nov 2019 β Jan 2021)
Suitability summary for best researcher Award
Mr. Vikram Singh, a promising researcher and Ph.D. candidate in Electrical Engineering at theΒ National Institute of Technology, Raipur, is awarded theΒ Best Researcher AwardΒ for his exceptional contributions in the fields ofΒ power electronics,Β fault detection, andΒ renewable energy systems. His pioneering work, particularly in the application ofΒ artificial intelligence techniques in multilevel invertersΒ andΒ 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 inΒ power electronics and renewable energy systemsΒ 
. He has successfully clearedΒ GATE (2016, 2017, 2018)Β and completed aΒ certified Python Data Analytics courseΒ
. Actively involved inΒ academic workshops and conferences, he participated inΒ PhD Summer Schools at IIT Bhubaneswar and MANIT BhopalΒ
. He has also contributed as anΒ organizer for SERB-sponsored workshops. His expertise spansΒ MATLAB, Simulink, PSIM, PLECS, FPGA, and dSPACE controllers, enhancing hisΒ analytical and simulation skillsΒ for cutting-edge research inΒ AI-powered fault detection.Β 

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) 
. Currently pursuing aΒ Ph.D. at NIT Raipur, he has extensive experience inΒ power electronics, artificial intelligence applications, and renewable energy. With a strong background inΒ hardware and software simulation, he has contributed to multiple internationalΒ conferences and journalsΒ
. Vikram has also worked as anΒ Assistant Professor at Kalinga UniversityΒ and actively participates in academic workshops and training programs. His passion for innovation and academic excellence drives his research inΒ power system resilience.Β 
. His Ph.D. work revolves aroundΒ AI-based fault detection and reconfiguration in multilevel inverters, crucial for enhancing theΒ reliability and efficiency of standalone and grid-connected renewable energy systems. His expertise extends toΒ machine learning algorithms, FPGA-based control systems, and hybrid inverter design. Vikram has published extensively inΒ IEEE, Springer, and SCI-indexed journals, contributing to advancements inΒ fault-tolerant power systems. His work aims toΒ develop intelligent, resilient, and sustainable energy solutionsΒ for the future ofΒ renewable power generation.Β 
