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

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.

 

Libin Guo | Electric Vehicles | Best Researcher Award

Libin Guo | Electric Vehicles | Best Researcher Award

Assistant Professor | Qufu Normal University | China

Dr. Libin Guo is an accomplished scholar and faculty member at the School of Management, Qufu Normal University, specializing in sustainable supply chain management, new energy vehicle supply chains, and platform supply chains. He holds advanced degrees in management with a strong focus on supply chain systems and decision sciences. His professional experience includes teaching, research, and leadership in collaborative projects that integrate theoretical modeling with practical applications in green technology adoption, demand forecasting, and cross-border e-commerce platforms. Dr. Guo’s research has been widely published in high-impact international journals, where he has contributed as both author and corresponding author, with notable work on evolutionary game models, crowdsourcing decision-making, and supply chain optimization. In addition to his research, he actively serves in academic communities through editorial responsibilities, peer-review activities, and professional memberships, further enhancing the field’s development. He has received recognition for his contributions to advancing sustainable and innovative supply chain practices, along with certifications and honors that underscore his academic and professional excellence.

Profile: ORCID

Featured Publications

Libin Guo*, An evolutionary game model of manufacturers and consumers’ behavior strategies for green technology and government subsidy in supply chain platforms. Comput. Ind. Eng., 2024, 189(3), 109918.

Libin Guo, Decision-making for demand signal in crowdsourcing platforms. J. Ind. Manag. Optim., 2024, 20(1), 664–678.

Libin Guo*, Decision-making of cross-border e-commerce platform supply chains considering information sharing and free shipping. Sustainability, 2023, 15(4), 3350.