Vikram Singh | Renewable Energy | Best Researcher Award

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 electronicsfault 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) 📑

 

Mohamed Ben Bechir | Renewable Energy | Excellence in Research

Mohamed Ben Bechir | Renewable Energy | Excellence in Research

Prof. Mohamed Ben Bechir, faculté des sciences de Sfax, Tunisia.

Publication profile

Scopus
Orcid

Education and Experience

  • 🎓 Baccalauréat (Mathématiques): Lycée Habib Màazoun, Sfax (2007)
  • 🎓 Licence Fondamentale en Physique: Faculty of Sciences, Sfax (2010)
  • 🎓 Master de Physique des Milieux Condensés: Faculty of Sciences, Sfax (2012)
  • 🎓 Doctorat en Physique: Faculty of Sciences, Sfax (2015)
  • 🎓 Habilitation Universitaire en Physique: Faculty of Sciences, Sfax (2022)
  • 🧑‍🏫 Lecturer: Faculty of Sciences, Gafsa, Tunisia (2015–Present)

Suitability For The Award

Dr. Mohamed Ben Bechir is a visionary researcher whose groundbreaking contributions in materials science and renewable energy research make him an outstanding candidate for the prestigious Excellence in Research . His expertise in synthesizing and characterizing innovative materials, coupled with his impactful academic and mentorship roles, underscores his commitment to advancing science and sustainable energy solutions.

Professional Development 

Publications Top Notes

  • 🌟 Exploring Photoconduction Mechanisms in Lead-Free Cs3Sb2I9 Single Crystal Thin Films (2024, Optical Materials)
  • 💡 Exploring Photoexcitation Effects on Cs3Bi2Br9 Perovskite Single Crystal Properties (2024, Optical Materials, cited by: 2)
  • ⚛️ From Molecular Salt to Layered Network: Cation-Driven Tuning of Band Gap, Structure, and Charge Transport in A3Bi2I9 (A = Cs, Rb) Perovskites (2024, RSC Advances, cited by: 1)
  • 🔬 Investigating the Electrical and Optical Characteristics of Lead-Free All-Inorganic Cs3Sb2Br9 Single Crystals (2024, Optical Materials, cited by: 2)
  • 🔍 Vibrational Spectroscopic, Optical Properties, and Electrical Conduction Mechanism of Lead-Free Perovskite Cs2ZnCl4 (2024, Chemistry Africa)
  • 🌐 Understanding Charge Transport and Dielectric Relaxation Properties in Lead-Free Cs2ZrCl6 Nanoparticles (2024, RSC Advances, cited by: 3)
  • 🏗️ Structural, Morphological, Electrical, and Dielectric Properties of Na2Cu5(Si2O7)2 for ASSIBs (2024, RSC Advances, cited by: 2)
  • ⚙️ Investigation of Optical, Dielectric, and Charge Transfer Properties in Lead-Free Double Perovskite Cs2MSbBr6 (M = Cu, Ag) (2024, Ionics, cited by: 4)

Rui Filipe Lobo | Clean Energy | Best Researcher Award

Rui Filipe Lobo | Clean Energy | Best Researcher Award

Prof Dr. Rui Filipe Lobo, NOVA School of Science & Technology/NOVA University of Lisbon, Portugal

Publication profile

Orcid
Scopus

Education and Experience

  • Ph.D. in Physics from NOVA University of Lisbon 🌌.
  • Habilitation in NanoEngineering from NOVA University of Lisbon 🧪.
  • Degree in Chemical Engineering from Instituto Superior Técnico, University of Lisbon ⚛️.
  • Head of N2E Laboratory at NOVA Caparica Campus, focusing on nanophysics, nanotechnology, and clean energy 🌱.
  • Senior Member of the Department of Physics and senior researcher of CTS-Uninova, NOVA University of Lisbon 🔬.
  • Visiting Fellow at institutions like Max Planck Institute, Rice University, and Osaka University 🌎.

Suitability For The Award

Dr. Rui Filipe Lobo is an outstanding candidate for the Best Researcher Award due to his impactful research in nanophysics, nanotechnology, and clean energy solutions. His work as the head of the Nanophysics/Nanotechnology and Energy (N2E) Laboratory at the NOVA School of Science and Technology demonstrates his leadership in pioneering sustainable and hydrogen-based energy research. Dr. Lobo’s contributions to hydrogen technology and decarbonization underscore his commitment to addressing global energy challenges through advanced nanotechnology.

Professional Development 

Awards and Honors 

  • Chairman and Organizer of multiple international conferences on nanotechnology 🌐.
  • Senior Member of the Engineers National Order, with numerous scientific committee roles in molecular beams and nanotechnology ⚙️.
  • Portuguese Hydrogen Association Supervisory Board Member and co-author of the Lisbon Statement on Clean Energy 🇵🇹.
  • Member of the European Clean Hydrogen Alliance, contributing to policy and research development in clean energy 💡.
  • US Patent Holder: “Polyol Functionalized Water Soluble Carbon Nanostructures,” awarded in 2013 📜.

Publications

  • 📘 “A Brief on Nano-Based Hydrogen Energy Transition” – Lobo, R.F.M., 2023, Hydrogen, 4(3), pp. 679–693. Cited by: 1
  • 📕 “Advanced Topics in Contemporary Physics for Engineering: Nanophysics, Plasma Physics, and Electrodynamics” – Lobo, R.F.M., Pinheiro, M.J., 2022, 1–359. Cited by: 3
  • 📄 “Hydrogen Uptake and Release in Carbon Nanotube Electrocatalysts” – Lobo, R., Ribeiro, J., Inok, F., 2021, Nanomaterials, 11(4), 975. Cited by: 11
  • 📄 “Hydrogen Nanometrology in Advanced Carbon Nanomaterial Electrodes” – Lobo, R., Alvarez, N., Shanov, V., 2021, Nanomaterials, 11(5), 1079. Cited by: 3
  • 📄 “Tailoring Physical Properties of Carbon Nanotube Threads During Assembly” – Alvarez, N.T., et al., 2019, Carbon, 144, pp. 55–62. Cited by: 28
  • 📑 “Improving the Unreasonable University” – Alonso, M.P., Pinheiro, M.J., Lobo, R.F.M., 2018, CISPEE 2018. Cited by: 0
  • 📄 “Dust Deposition from Air with Anomalous Characteristics” – Lobo, R.F.M., 2017, Rendiconti Lincei, 28(4), pp. 623–633. Cited by: 1