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.

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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.