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Fall Colors, Giant Hike, Adirondack Mountains, NY

Mohammed J. Zaki

Mohammed J. Zaki is a Professor of Computer Science at RPI. He received his Ph.D. degree in computer science from the University of Rochester in 1998. His research interests focus on developing novel data mining techniques, especially for applications in bioinformatics and social networks. He has published over 225 papers and book-chapters on data mining and bioinformatics, including the Data Mining and Analysis textbook published by Cambridge University Press, 2014. He is the founding co-chair for the BIOKDD series of workshops. He is currently Area Editor for Statistical Analysis and Data Mining, and an Associate Editor for Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, and Social Networks and Mining. He was the program co-chair for SDM'08, SIGKDD'09, PAKDD'10, BIBM'11, CIKM'12, and ICDM'12. He is currently serving on the Board of Directors for ACM SIGKDD. He received the National Science Foundation CAREER Award in 2001 and the Department of Energy Early Career Principal Investigator Award in 2002. He received an HP Innovation Research Award in 2010, 2011, and 2012, and a Google Faculty Research Award in 2011. He is a senior member of the IEEE, and an ACM Distinguished Scientist. His research is supported in part by NSF, NIH, DOE, Google, HP, and Nvidia.

Professor

Department of Computer Science
Rensselaer Polytechnic Institute
Troy, New York 12180-3590
E-mail:
Phone: (518) 276-6340
Fax: (518) 276-4033

I am currently a Principal Scientist at the Qatar Computing Research Institute (QCRI), on leave from RPI for the 2014-2015 academic year.


List of Publications
My Google Scholar List       My DBLP Bibliography List


Books
Data Mining and Analysis: Fundamental Concepts and Algorithms    Protein Structure Prediction    Data Mining in Bioinformatics    Large Scale Parallel Data Mining

Teaching


Software




Journal Associate Editor


Data Mining and Knowledge Discovery   ACM Transactions on Knowledge Discovery from Data   Statistical Analysis and Data Mining      Social Network Analysis and Mining   



Workshop Proceedings


RPI Info   RPI Library   RPI SIS   ACM DL   IEEE Xplore   SpringerLink