Session – FinTech Innovations and Applications

AI + Finance: Applying Data-Driven Methods in Finance Research

Speaker: Dr. Keli Xiao (肖可瓅)

Associate Professor of Decision Analytics

Director, Blockchain Business Lab

College of Business

Stony Brook University

Stony Brook, NY 11796

keli.xiao@stonybrook.edu

 

Biography:

Dr. Keli Xiao is an Associate Professor of Decision Analytics and the Director of Blockchain Business Lab at the College of Business, Stony Brook University. He received his Ph.D. degree in management (finance) from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles, and asset pricing. His research has appeared in many refereed journals and conference proceedings, such as Real Estate Economics, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He is an Associate Editor of the IEEE Access and has served on program committees of numerous conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc. He is a senior member of the ACM and the IEEE.

Abstract:

This talk discusses some potential trends of using AI and data-driven approaches to address research problems in FinTech, such as the cryptocurrency market behavior analysis, the impact of Blockchain techniques on equity market behaviors, etc. Some on-going projects in the Blockchain Business Lab at Stony Brook will also be introduced.