Prof. Yingjie Yang (Principal Investigator), De Montfort University
Professor Yingjie Yang is a Professor of Computational Intelligence at the Centre of Computational Intelligence at De Montfort University, Leicester, UK. The Centre of Computational Intelligence at De Montfort University is one of the leading centres in the research and applications of grey systems and fuzzy sets in Europe. Dr Yang’s research interests include computational intelligence and the representation and modelling of various uncertainties using grey systems, fuzzy sets, rough sets and neural networks to applications in the fields of civil, transportation and environmental engineering.
Prof. Sifeng Liu, Nanjing University of Aeronautics and Astronautics
Prof. Sifeng Liu is a Distinguished Professor and was the Dean of the College of Economics and Management at the Nanjing University of Aeronautics and Astronautics from 2001 to 2012. The Institute for Grey System Studies at the Nanjing University of Aeronautics and Astronautics is the world leader in grey systems. Prof. Liu’s research interests are grey numbers, grey equations, grey models and forecasting, grey clustering, grey incidence analysis and grey decision making with applications in agriculture, economics, disaster management, innovation and development.
Prof. Desheng Wu, University of Toronto, Risklab
Prof. Desheng Wu is the Affiliate Professor and Managing Director of the Risklab at the University of Toronto. At the Risklab of the University of Toronto uncertainty modelling is considered from the point of view of Applied Mathematics with emphasis on the areas of fluid dynamics, financial mathematics, biology, complex networks and signal processing. It is a leading centre for statistics, fuzzy sets and grey systems, especially in the applications of management and finance. Prof Wu’s research interests lie in the mathematical modelling of uncertain systems and risky situations; his specialities are the finance-economics-operations interface maximising operational and financial goals using the methodologies for game theory and large scale optimization and data analytics.
Prof. Emil Scarlat, Bucharest University of Economic Studies
Prof. Emil Scarlat is a Full Professor of Economic Cybernetics and Economic Dynamics in the Department of Economic Informatics and Cybernetics in the Bucharest University of Economic Studies. The Bucharest University of Economic Studies is a leading European university in the applications of grey systems to economics and business studies. Prof Scarlat’s main research areas are in agent-based knowledge and simulation, knowledge management and ecosystems, theory of complex adaptive systems and macroeconomic dynamics.
Prof. Jose. L. Salmeron, Universidad Pablo de Olavide, Seville
Prof. Jose Salmeron is a Professor of Information Systems at Universidad Pablo de Olavide, de Sevilla. The University Pablo de Olavide is a leading European institution for grey systems, fuzzy systems and the combination of uncertainty models in computational intelligence, particularly fuzzy grey cognitive maps. Prof. Salmeron’s main research interests are soft computing, decision support systems, computational intelligence, approximate reasoning, fuzzy cognitive maps, grey systems theory , knowledge-based systems, decision making in autonomous systems and complex adaptive systems.
Prof. Xinping Xiao, Wuhan University of Technology
Prof. Xinping Xiao is the Vice Dean of the School of Sciences at the Wuhan University of Technology. The Wuhan University of Technology is a leading organisation in grey systems studies, specialising in the fields of transportation. Prof. Xiao’s main research interests include grey systems, optimisation, multi-objective decision making and systems engineering.
Prof. Keith Hipel, University of Waterloo
Prof. Keith Hipel is participating as an individual member of the GSIA international research network. Prof. Hipel is a University Professor in the Department of Systems Design Engineering at the University of Waterloo. Prof. Hipel's main research interests are the development of conflict resolution, multiple criteria decision analysis, time series analysis and other decision-making methodologies for applications in interdisciplinary systems engineering problems in water resources management, hydrology, environmental engineering, energy, and sustainable development.