Xiaokang Wang | Electric Vehicles | Research Excellence Award

Published on by Electrical Engineering

Dr. Xiaokang Wang | Electric Vehicles | Research Excellence Award

School of Electrical Engineering, Southwest Jiaotong University | China

Wang Xiaokang is a researcher at Southwest Jiaotong University, Chengdu, China, specializing in engineering and applied sciences. He holds advanced academic qualifications in his discipline, with specialized training in technical research and innovation. He has actively participated in collaborative research projects and contributed to academic initiatives within his institution, demonstrating professional leadership and scholarly engagement. His research focuses on advancing engineering methodologies and emerging technological applications, resulting in 8 scholarly documents, including peer-reviewed publications and preprints, which have collectively received 27 citations and earned him an h-index of 3. Through sustained collaboration with national and international researchers, he has strengthened interdisciplinary research outcomes and academic impact. His contributions reflect a commitment to research excellence, innovation, and knowledge dissemination, supporting his strong candidacy for this distinguished award recognition.

Citation Metrics (Scopus)

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8

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View Scopus Profile View ORCID Profile

Featured Publications

Study of Slide Ablation Characteristics During Pantograph Lowering Based on Simulation and Arc Voltage Measurements
IEEE Transactions on Instrumentation and Measurement – Journal Article, 2026

Thermal Behavior of Arcing in Electrical Section Overlaps under Specialized Mechanical Configurations
International Journal of Thermal Sciences – Journal Article, 2026

Ablation Characteristics of Contact Wires in the Pantograph–Catenary System under Successive Arcing Events
2025 IEEE China International Youth Conference on Electrical Engineering (CIYCEE) – Conference Paper, 2025

Zhengying Cai | Electric Vehicles | Best Researcher Award

Published on by Electrical Engineering

Prof. Zhengying Cai | Electric Vehicles | Best Researcher Award

Prof | China Three Gorges University  | China

Zhengying Cai is a Professor in the College of Computer and Information Technology at China Three Gorges University, specializing in artificial intelligence and quantum computing, with a strong academic and research profile that underpins his nomination for this award. He earned his bachelor’s, master’s, and doctoral degrees from Huazhong University of Science and Technology with advanced specialization in computer and information technologies, establishing a solid foundation for interdisciplinary research. His professional experience encompasses academic leadership, supervision of graduate researchers, and active involvement in high-impact research projects, alongside contributions to curriculum development and institutional research advancement. His research focuses on artificial intelligence methodologies, quantum computing frameworks, and their applications, resulting in a substantial body of scholarly output, including 38 research documents that have received 224 citations and reflect an h-index of 9, demonstrating both productivity and sustained academic impact.

Citation Metrics (Scopus)

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224

Documents
38

h-index
9

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View Scopus Profile View ORCID Profile

Featured Publications

An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation
Z. Cai, Q. Yu, Z. Lu, Z. Liu, G. Gong – Applied Sciences (Switzerland)

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
S. Eggen, T.J. Espe, K. Grude, M. Risstad, R. Sandberg – Journal of Economic Surveys

Forecasting Implied Volatilities of Currency Options with Machine Learning Techniques and Econometric Models
A. Olsen, G. Djupskås, P.E. de Lange, M. Risstad – International Journal of Data Science and Analytics

Mr. Devanand Gangisetty | Electric Vehicles | Electrical Innovation Excellence Award

Published on by Electrical Engineering

Mr. Devanand Gangisetty | Electric Vehicles | Electrical Innovation Excellence Award

Assistant Professor | NRI Institute of Technology | India

Mr. Devanand Gangisetty is an Assistant Professor in the Department of Electrical and Electronics Engineering at NRI Institute of Technology, affiliated with JNTUK, Kakinada. He holds an M.Tech in Power Electronics from MIC College of Technology and a B.Tech in Electrical and Electronics Engineering from Sri Sarathi Institute of Engineering and Technology. With extensive teaching experience, he has contributed to engineering education through his academic leadership and research in power electronics, renewable energy systems, and electrical drives. His scholarly contributions include several national and international journal publications and conference presentations, reflecting his commitment to advancing applied electrical engineering research. He has successfully guided numerous undergraduate and postgraduate projects, fostering innovation among students. Beyond teaching and research, he has played key roles in institutional activities as Virtual Lab Coordinator, NBA Criterion-3 Department Coordinator, and ISO Department In-Charge, supporting academic quality and accreditation initiatives. Recognized for his dedication, Dr. Devanand has received honors such as “Advance Innovation Ambassador,” “BIS Mentor,” and “Best Outgoing Student.” He is actively engaged in professional development through participation in faculty development programs and serves in evaluation and examination roles for academic institutions, contributing to educational excellence and research mentorship in the field of power electronics. His research impact is reflected through 13 citations, an h-index of 1, and an i10-index of 1.

Profile: Google Scholar 

Featured Publications

Devanand Gangisetty*, Research and advancements in power electronics for efficient renewable energy integration and electrical drives. Int. J. Electr. Power Energy Syst., Accepted.

Devanand Gangisetty*, Performance analysis and optimization of inverter-fed induction motor drives using advanced PWM techniques. IEEE Access, 2024, 12(5), 987654.

Devanand Gangisetty, Modeling and control of renewable power conversion systems for sustainable energy applications. Energy Convers. Manage., 2024, 15(3), 105672.