Has around 300 publications (and 6 patents), including the textbook 'Data Mining and Machine Learning' (2nd Edition, Cambridge University Press, 2020); His research has won several best paper awards and nominations, including the EDBT'24 Test of Time Award; Recipient of the National Science Foundation CAREER Award, Department of Energy Early Career Principal Investigator Award, HP Innovation Research Award, and Google Faculty Research Award.
Research Experience
Department Head of Computer Science at RPI; Co-director for the NSF IUCRC Center for Research Towards Advancing Financial Technologies (CRAFT); Founding co-chair for the BIOKDD series of workshops; Served as associate editor for several journals including Data Mining and Knowledge Discovery, Statistical Analysis and Data Mining, ACM Transactions on Knowledge Discovery from Data, and Social Networks and Mining; Program co-chair for SIGKDD, SDM, ICDM, PAKDD, BIBM, IEEE BigData, and CIKM conferences; Served on the Board of Directors for ACM SIGKDD.
Education
Received his Ph.D. degree in computer science from the University of Rochester in 1998.
Background
Professor and Department Head of Computer Science, with research interests focusing on novel data mining and machine learning techniques, particularly for learning from graph-structured and textual data, with applications in bioinformatics, personal health, and financial analytics.
Miscellany
His research is supported in part by NSF, DARPA, NIH, DOE, IBM, Google, HP, and Nvidia; He is a Fellow of the IEEE, ACM, AAAS, and SIAM.