ORCID iD: 0000-0003-4731-4616
Scopus Author ID: 7102119418

Metrics for Academic and Research Impact

Prof. Chuangyin Dang received his PhD degree (Cum Laude) in Operations Research/Mathematical Economics from Tilburg University of the Netherlands in 1991, MSc degree in Applied Mathematics from Xidian University of China in 1986 and BSc degree in Computational Mathematics from Shanxi University of China in 1983. He is currently Professor of Systems Engineering and Engineering Management at City University of Hong Kong. Prior to this, Prof. Dang held faculty positions at the University of California at Davis, Delft University of Technology and Auckland University, and was research fellow at the Cowles Foundation for Research in Economics of Yale University. Prof. Dang's research focuses on systems modeling, analysis and optimization. He is best known for the developments of the D1-triangulation of the Euclidean space and simplicial and fixed-point iterative methods for integer programming. Due to his significant contributions, Prof. Dang received the award of outstanding research achievements of the year from Tilburg University of The Netherlands in 1990 and invited to give talks at such universities as Cornell University, Stanford University, the University of Michigan at Ann Arbor, the University of Minnesota at Minneapolis, and to work as Research Fellow at Yale University in 1994. Prof. Dang has published over 130 papers in journals including Mathematical Programming, Mathematics of Operations Research, SIAM Journal on Optimization, Computational Optimization and Applications, European Journal of Operational Research, IEEE Transactions on Automatic Control, IEEE Transactions on Computers, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence, Neural Computation, Neural Networks, and Pattern Recognition.

• Game Theory and Applications
• Mathematical Optimization and Applications
• Systems Modeling, Analysis and Optimization
• Mathematical Modeling and Analysis in Economics and Finance
• Mathematical Optimization in Pattern Recognition and Machine Learning