Mr. Ulrich Ngnassi Nguelcheu | Best Researcher Award

Mr. Ulrich Ngnassi Nguelcheu | Best Researcher Award

Researcher at University of Ngaoundéré | Cameroon

Dr. Ulrich Ngnassi Nguelcheu is a researcher at the University of Ngaoundéré, Cameroon, specializing in artificial intelligence applications in renewable energy systems. With 11 publications, 1,302 reads, and 5 citations (h-index: 2), he has made valuable contributions to intelligent control and data-driven optimization for sustainable energy technologies. He holds a doctorate in Artificial Intelligence applied to Renewable Energies, focusing on enhancing the performance and reliability of electromechanical systems through AI-based modeling and simulation. His research experience covers wind energy systems, maintenance optimization, reliability analysis, and composite material development. Among his notable works are studies on the use of artificial neural networks for improved wind turbine control and the optimization of preventive maintenance using genetic algorithms, published in leading journals such as Engineering Applications of Artificial Intelligence. Dr. Nguelcheu actively collaborates with researchers across Cameroon and internationally, emphasizing sustainable and intelligent energy management. His research interests include machine learning for energy systems, renewable energy integration, and smart maintenance strategies. He is dedicated to advancing innovative and eco-efficient technologies that support the global shift toward clean and sustainable energy.

Profiles : Research Gate | Scopus

Featured Publications

Nguelcheu, U. N., Ndjiya, N., Kenmoe Fankem, E. D., Ngnassi Djami, A. B., Guidkaya, G., & Effa, J. Y. (2025). Harnessing artificial neural networks for improved control of wind turbines based on brushless doubly fed induction generator. Engineering Applications of Artificial Intelligence, 154, 110925.

Nguelcheu, U. N., Ndjiya, N., Kenmoe Fankem, E. D., Ngnassi Djami, A. B., Guidkaya, G., & Dountio, T. (2023). Literature review on the control of brushless doubly-fed induction machines. Global Journal of Engineering and Technology Advances, 16(3), 51–69.

Ngnassi Djami, A. B., Nguelcheu, U. N., & Yamigno, S. D. (2023). Formulation, characterization and future potential of composite materials from natural resources: The case of kenaf and date palm fibers. Online Journal of Mechanical Engineering.

Dr. Dahai Zheng | Innovative Research Award

Dr. Dahai Zheng | Innovative Research Award

China University of Mining and Technology | China 

Dr. Dahai Zheng is an emerging researcher in environmental and energy engineering, currently pursuing his Ph.D. at the China University of Mining and Technology, Xuzhou, Jiangsu. He earned his Doctoral degree from the Beijing University of Technology in 2023, where he specialized in the field of environmental and energy systems. Earlier, he completed his Master’s degree in Chemical Engineering and Technology from the China University of Mining and Technology in 2018 and obtained his Bachelor’s degree in Chemical Safety from the North China Institute of Science and Technology in 2015. Dr. Zheng’s research focuses on solid waste management, including waste tire and waste plastic recycling, as well as process optimization for sustainable waste-to-energy technologies. He has authored 2 publications that have collectively received 42 citations, with an h-index of 1, reflecting his growing influence in the field of waste resource utilization. His recent work, published in the International Journal of Coal Preparation and Utilization (2023), investigates performance optimization in heavy-medium separation for steam coal. Dr. Zheng’s research contributes to the development of cleaner and more efficient waste treatment technologies. He is dedicated to advancing sustainable resource recovery and environmental protection through innovative engineering solutions.

Profiles : Orcid | Scopus

Featured Publications

Zheng, D., et al. (2023). Optimization of performance parameters and investigation of the heavy-medium separation column for the separation of 3–13 mm steam coal. International Journal of Coal Preparation and Utilization.