Longwei Yin | Electrochemical Energy | Best Researcher Award

Prof. Dr. Longwei Yin, Shandong University, China.

Longwei Yin is a distinguished professor and doctoral supervisor at Shandong University’s School of Materials. He specializes in energy conversion and storage materials, contributing to solar cells, electrochemical energy storage, and photocatalysis. With over 300 publications in top journals like Nature Materials, Advanced Materials, and JACS, his research has been cited over 20,000 times. He has led 20+ national and provincial projects and holds 30 invention patents. A recipient of prestigious honors, including the National Outstanding Youth Fund and the Taishan Scholars Program, he actively supports China’s dual-carbon strategy.

Education and Experience

Doctoral Supervisor at Shandong University, School of Materials
National “New Century Millions Talent Project” recipient (2010)
Awarded Special Government Allowance by the State Council (2007)
Distinguished Professor under the Taishan Scholars Program
Led 20+ Research Projects, including National Key R&D Programs

Suitability summary

Dr. Longwei Yin, a distinguished professor and doctoral supervisor at the School of Materials, Shandong University, is highly deserving of the Best Researcher Award for his groundbreaking contributions to energy conversion and storage materials. With an exceptional research portfolio spanning over 300 high-impact publications in top-tier journals such as Nature Materials, Nature Communications, Advanced Materials, JACS, and Angewandte Chemie, his work has been cited over 20,000 times, demonstrating its profound impact on the scientific community.

Professional Development

Longwei Yin’s research focuses on functional material design for energy applications, addressing major strategic goals related to China’s dual-carbon policy. His work spans solar energy conversion, electrochemical energy storage, and photocatalysis, integrating fundamental science with applied engineering. As a leading figure in materials science, he has directed multiple national and international research projects, fostering collaborations in renewable energy technologies. Beyond academia, he serves as a director in multiple national materials and physical vision societies, contributing significantly to policy and innovation in sustainable energy development. His research continues to drive breakthroughs in next-generation energy materials and devices.

Research Focus

Longwei Yin specializes in energy conversion and storage materials, contributing to advances in sustainable energy solutions. His research integrates solar cell technology, electrochemical energy storage devices, and photocatalysis, aiming to enhance efficiency and sustainability. By developing functional materials with controlled properties, he tackles critical challenges in energy sustainability. His work supports China’s dual-carbon goals, emphasizing innovative materials for clean energy applications. With a deep focus on both theoretical and applied research, he pioneers next-generation solutions for renewable energy storage and conversion, bridging the gap between material science and real-world energy demands.

Awards And Honours

National Outstanding Youth Fund recipient (2010)
National “New Century Millions Talent Project” awardee
Special Government Allowance from the State Council (2007)
Taishan Scholars Distinguished Professor
Ministry of Education’s New Century Outstanding Talent Plan honoree
Director of National Materials Society, National Society of Physical Vision, and National Electric Mirror Society
Principal Investigator of 20+ National & Provincial Research Projects
Holds 30+ Invention Patents in Energy Materials

Publication Top Noted

1️⃣ “Tuning Dual Catalytic Active Sites of Pt Single Atoms Paired with High-Entropy Alloy Nanoparticles for Advanced Li-O₂ Batteries” – ACS Nano, 2025

2️⃣ “Enhanced Pseudocapacitive Li⁺ Charge Storage on Lithium-Rich Disordered Rock Salt Vanadium Oxide Nanocrystalline” – Chemical Engineering Journal, 2024

3️⃣ “In Situ Synthesis of Lithiophilic Ag Sites in 3D MOF-Derived Nitrogen-Doped Porous Carbon Composites Towards Dendrite-Free Lithium Metal Anodes” – Journal of Materials Chemistry C, 2024

4️⃣ “Revealing the Effect of the Microstructure on Potassium Storage Behavior in a Two-Dimensional Mesoporous Carbon Anode” – ACS Nano, 2024 ( 2 citations)

5️⃣ “Integrating Activated Inorganic Fluoride Nanocrystals with Polar Polymer for Wide-Temperature Solid Lithium Metal Batteries” – ACS Energy Letters, 2024 ( 2 citations)

6️⃣ “High-Performance All-Solid-State Li–Se Battery Based on Selenium Loaded on Ti₃C₂ MXene Cathode” – Green Energy and Resources, 2024 ( 2 citations)

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)

Longwei Yin | Electrochemical Energy | Best Researcher Award

Longwei Yin | Electrochemical Energy | Best Researcher Award

Prof. Dr. Longwei Yin, Shandong University, China.

Publivation Profiles

SCOPUS

Education and Experience

Suitability summary

Professional Development

Research Focus

Awards And Honours

Publication Top Noted