Keli "Andrew" Xiao
Associate Professor | Senior Member of ACM and IEEE
346 Hariman Hall
College of Business
Stony Brook University
Ph.D. in Management (Finance), Rutgers, the State University of New Jersey, USA
Thesis: “Essays on Housing Bubbles: Testing, Estimation, and Fundamental Analysis”
M.S. in Quantitative Finance, Rutgers, the State University of New Jersey, USA
M.A. in Computer Science, Queens College, the City University of New York, USA
B.E. in Computer Science, Wuhan University of Technology, China
Business Analytics, Big Data Analytics, FinTech, Real Estate / Urban Computing, Economic Bubbles and Crises, Asset Pricing
Dr. Xiao is currently an Associate Professor in the College of Business at Stony Brook University, where he is also a Founding Faculty Member of the Center of Entrepreneurial Finance and the Director of the Blockchain Business Lab. He received his Ph.D. degree in Management (Finance) from Rutgers Business School, Rutgers, The State University of New Jersey in 2013, under the supervision of Professor Yangru Wu and Professor Hui Xiong. Before that, he obtained his M.S. degree in Quantitative Finance from Rutgers, the State University of New Jersey in 2009 and his master’s degree in Computer Science from Queens College, the City University of New York in 2008. He received his B.E. degree in Computer Science from the Wuhan University of Technology in 2006.
Dr. Xiao conducts interdisciplinary research and focuses on addressing challenging business and management problems using data-driven techniques. His research covers multiple areas, such as economics, finance, urban economics, urban computing, human resource management, education, etc. He has published numerous articles in many refereed journals, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Management Information Systems (TMIS), ACM Transactions on Information Systems (TOIS), ACM Transactions on Knowledge Discovery from Data (TKDD), Information Sciences, Real Estate Economics, etc., and refereed conference proceedings, such as ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), IEEE International Conference on Data Mining (ICDM), etc.
Dr. Xiao is an Associate Editor of the IEEE Access. He regularly serves on the program committee of many prestigious conferences, such as KDD, AAAI, ICDM, SDM, CIKM, DASFAA, etc. He is a senior member of the ACM and the IEEE.