Members

Dr. Le Minh Hoang is a member of the Center for Engineering Application & Technology Solutions, Ho Chi Minh City Open University, Vietnam. He received his Ph.D. from the Ghent University of Belgium in 2022. His research focuses on structural analysis, stability, dynamic analysis, optimization, artificial intelligence and structural health monitoring. He has published papers in the journal Engineering Failure Analysis, Knowled-based System, Expert System with Application, Engineering Structures.... He is authored and co-authored over 25 ISI/Scopus peer-reviewed articles.

Dr Samir is a member of the Center for Engineering Application & Technology Solutions, Ho Chi Minh City Open University, Vietnam. Dr. Samir Khatir is currently a Doctor assistant at Ghent University Belgium and adjunct Doctor assistant at Ho Chi Minh Open university Vietnam. He received Ph.D. in Civil engineering at Ghent University. He is authored and co-authored of over 100 ISI peer-reviewed articles. His primary research interest is in the areas of Civil and Mechanical engineering such as FEM, IGA, XIGA, Damage identification, Fracture mechanics, Optimization, Inverse problem, Laminated composites,Transmissibility, Fatigue, Civil engineering structures, Machine Learning, Model Reduction, Deep Learning, and experimental modal analysis. He is also on the editorial board in many scientific journals.

Mr. Huy Q. Le is a member of the Center for Engineering Application & Technology Solutions, Ho Chi Minh city Open University, Vietnam. He completed his Bachelor and Master Program of Civil Engineering at Ho Chi Minh City University of Technology in 2015 and 2017 respectively. His research interests are general related to Computational Mechanics with emphases in such sections for engineering problems as Optimization, Machine Learning, and Numerical Methods. He has recently published articles in damage detection by machine learning-based method for functionally graded carbon nanotube-reinforced composite plates and by optimization-based method for frame structures, in machine learning-based model for predicting physical properties of fiber-reinforced concrete.