Prof. Shuo Yang | Innovative Research Award

Prof. Shuo Yang | Innovative Research Award

Shenyang Institute of Engineering | China

Prof. Shuo Yang is a distinguished researcher and Project Manager at the Shenyang Institute of Engineering, where he also serves as Managing Director of the Key Laboratory of Liaoning Province for Clean Combustion Power Generation and Heat-Supply Technology. He holds a Doctor of Engineering degree in Engineering Thermophysics from Northeastern University (2017), following his Master’s and Bachelor’s degrees in Thermal Engineering and Thermal Energy & Power Engineering from Liaoning Technical University. Dr. Yang has published 35 scientific papers, accumulating over 1,662 reads, 150 citations, and an h-index of 9 (as of 2025). His research focuses on microfluidics, thermocapillary and Marangoni convection, mesoscale fluid control, and clean combustion technologies. He integrates numerical simulations and experimental analyses to study complex interfacial and capillary phenomena, advancing understanding in energy and fluid mechanics. A recognized reviewer for leading journals such as Journal of Crystal Growth, Applied Sciences, and Symmetry, Dr. Yang also serves as a communication review expert for the National Natural Science Foundation of China. He has been honored with the prestigious “Ten Thousand Level” Talent Title under the Liaoning Province Hundred, Thousand and Ten Thousand Talent Project. His ongoing work continues to bridge theoretical and applied research in energy and fluid systems innovation.

Profiles : Research Gate | Orcid

Featured Publications

Xiao, Y., Cui, J., Pan, H., Zhu, L., Xu, B., Yang, X., Zhao, H., Yang, S., Zhao, Y., & Wirsum, M. (2025). Investigation of ammonia–coal co-combustion performance and NOx formation mechanisms under varied ammonia injection strategies. Energies, 18(21), 5609. https://doi.org/10.3390/en18215609

 Yang, S., Luo, J., Gao, Y., Wang, S., Zhang, Y., Wang, Y., Ge, P., Li, W., Zheng, Y., & Cui, J. (2024). Experimental study on the effects of washing time, washing temperature, and particle size on the combustion and ash formation characteristics of rice husk. ACS Omega, 9(52), 38820–38833. https://doi.org/10.1021/acsomega.4c08820

 Yang, S., Ge, P., Gao, Y., Luo, J., Wang, T., Liu, Z., Zheng, Y., Li, W., & Cui, J. (2024). Effect of a uniform axial magnetic field on the spatiotemporal evolution of thermocapillary convection in a high Prandtl fluid under microgravity. Symmetry, 16(12), 1645. https://doi.org/10.3390/sym16121645

 Xiao, W., Cui, J., Pan, H., Zhao, H., Yang, S., Xue, Z., Fu, Y., & Xu, Y. (2024). A study on the influence of oxy-hydrogen gas flame on the combustion stability of coal powder and nitrogen oxide emissions. Processes, 12(8), 1777. https://doi.org/10.3390/pr12081777

 Cui, J., Zhao, H., Xu, Y., Yang, S., Pan, H., Xiao, W., Fu, Y., & Xue, Z. (2024). Experimental investigation on oxy-hydrogen gas flame injecting coal powder gasification and combustion. Processes, 12(4), 692. https://doi.org/10.3390/pr12040692

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.