Rate My Professor Yong Sheng

Professor Yong Sheng holds the position of Professor of Mechanical and Material Engineering at the University of Hull, within the Faculty of Science and Engineering. He concurrently serves as the Head of the School of Engineering and Technology. With over 30 years of research experience, Professor Sheng specializes in developing advanced computational models and applying them to solve a broad range of engineering problems. His recent focus areas include renewable energy and advanced engineering materials, as well as alternative and green energy generations, sustainable built environments, and bio and engineering materials. He has established a research profile highly appreciated by the international research community and has led a number of major UK and EU research projects in these domains.

Professor Sheng has published over 100 refereed research articles and is a member of the editorial boards for several international journals. He has developed an extensive collaborative research network with both the research community and industrial practitioners in the UK and worldwide. His research interests center on computational modeling of structures and materials. Highly cited publications include 'Discrete element method (DEM) modeling of fracture and damage in the machining process of polycrystalline SiC' (2009, Journal of the European Ceramic Society, 260 citations), 'Evaluation of different computational modelling strategies for the analysis of low strength masonry structures' (2014, Engineering Structures, 178 citations), 'Performance-driven 3D printing of continuous curved carbon fibre reinforced polymer composites: A preliminary numerical study' (2018, Composites Part B: Engineering, 163 citations), 'Numerical investigation of the location of maximum erosive wear damage in elbow: Effect of slurry velocity, bend orientation and angle of elbow' (2012, Powder Technology, 159 citations), and 'Recent development on underground coal gasification and subsequent CO2 storage' (2016, Journal of the Energy Institute, 143 citations). Recent works feature 'Application of SSD-MobileNetV2 for automated defect detection in masonry bridges using AI and IoT' (2025) and 'Current Trends, Advancements, and Challenges in Floating Solar Photovoltaic (FSPV) Systems for Off-Grid Applications: A Review' (2024).