Desheng Dash Wu
Desheng Dash Wu
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Professor Desheng Dash Wu, the Chair of Analytics and Risk Technical Committee, IEEE Systems Council is elected as Member of the Academia Europaea and International Eurasian Academy of Sciences in 2019. His research works are in the areas of risk analysis, production and operations management using game theory, big data financial analytics, environmental loss estimation and economic analysis, and decision science. He published more than 190 papers in SCI-indexed refereed journals such as the Decision Sciences, Risk Analysis, IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering, Production and Operations Management, IEEE Transactions on Systems, Man, and Cybernetics: Systems. There are more than 9400 Google-Scholar literature citations to his publications. Twenty of Prof. Wu’s papers are selected as “10 Big Impact Articles”, “TOP25 Hottest Article in Elsevier Journals”, “Top 20 Most Cited Articles”. There are more than 8200 Google-Scholar literature citations to his publications. He developed a comprehensive risk management methodology, which was termed as “W-O” ERM Model and Methodology by international scholars. He is ranked first (together with David Olson) of the leading scholars in the area of Enterprise Risk Management based on their publications on “enterprise risk” between 2005 and 2014. He is an internationally renowned scholar and teacher focusing on the area of risk analysis, with a particular interest in operations and finance interface. He is the Editor of Springer Book Series on “Computational Risk management” (with David Olson and John Birge). He has been an Associate Editor/Guest Editor for more than 15 journals including the IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Annals of Operations Research, Computers and Operations Research, International Journal of Production Economics, Risk Analysis, and Omega. He is the Chair of the IEEE Social and Economic Security Technical Committee, IEEE Analytics and Risk Technical Committee, and leads more than 15 international committees and meetings.