Bio & CV

Dr. Dantong Yu is the Hurlburt Chair Associate Professor at Martin Tuchman School of Management, New Jersey Institute of Technology.   He works on the fundamental research and applications of Machine Learning and Deep Learning.

Dantong Yu received a BS degree in Computer Science from Beijing University, China, in 1995 and a Ph.D. degree in Computer Science from the State University of New York at Buffalo, USA, in 2001.  His research interests include FinTech, Machine Learning,  Business Data Science, high-performance computing, data mining, databases, and data warehouses.  He designed and implemented a novel high-dimensional indexing algorithm (termed ClusterTree) using the semantics of datasets. 

He has published papers in leading technical journals and conferences.  Recently, he published papers in  ACM Knowledge Discovery and Data Mining,  ACM Transaction on Knowledge Discovery from Data (TKDD), and IEEE  Transactions on Knowledge and Data Engineering,  Quantitative Finance, and  JOURNAL of Behavior and Experimental Finance. 

He serves on the Organization Committee of ACM KDD 2022 and is a PC member for CIKM, ICDM, KDD, and SIAM Data Mining. 

He served in the review Panels of NSF CDI, DOE Early Career Principal Investigator for networking research and DOE Small Business Innovative Research (SBIR), and co-chair of several DOE Advanced Networking Workshops for Distributed Petascale Science.