Dr. Mohammed J. Zaki

Principal Scientist
Data Analytics

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QCRI is at an exciting stage of growth with world-class researchers. I am excited about the opportunity to establish QCRI at the forefront of data mining research.

Research Focus at QCRI

At QCRI, Zaki will focus on high performance and “intuitive” data mining methods for large-scale data, with focus on social media and bioinformatics applications. 

Previous Experience

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. He has over 225 publications in data mining and bioinformatics. He is currently on the Board of Directors of ACM SIGKDD, and is the Information Director for ACM SIGBIO. He is an 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, Knowledge and Information Systems, Social Networks and Mining, and International Journal of Knowledge Discovery in Bioinformatics. He has served as the program co-chair for all the main data mining conferences -- SDM'08, SIGKDD'09, PAKDD'10, BIBM'11, CIKM'12, and ICDM'12, and he is the founding co-chair for the BIOKDD workshop. He is the general chair for the International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics, 2013, and the SIAM International Conference on Data Mining, 2014.

Professional Experience

  • Full Professor: Computer Science Department, Rensselaer Polytechnic Institute, Troy, New York, December 2008 - Present.
  •  Science Without Frontiers Fellow:  Government of Brazil  -- Ministry of Science, Technology and Innovation and the Ministry of Education, Brazil, December 25, 2012 - December 24, 2015.
  • Associate Professor: Computer Science Department, Rensselaer Polytechnic Institute, Troy, New York, December 2003 - December 2008.
  • Assistant Professor: Computer Science Department, Rensselaer Polytechnic Institute, Troy, New York, September 1998 - December 2003.

Professional Associations and Awards


  • Science Without Borders Fellow, Ministry of Science, Technology and Innovation, Brazil, 2012-2015.
  • The 2012 Trustee Celebration Award for Faculty Achievement, RPI, 2012.
  • HP Labs Innovation Award, 2012.
  • Google Research Award, 2011.
  • HP Labs Innovation Award, 2011.
  • NVIDIA Academic Partnership Award, 2011.
  • The 2010 Trustee Celebration Award for Faculty Achievement, RPI, 2010.
  • HP Labs Innovation Award, 2010.
  • ACM Distinguished Scientist, 2010.
  • ACM SIGKDD Doctoral Dissertation Award for student (Mohammad Al Hasan), 2010.
  • Senior Member, IEEE, 2010.
  • ACM Recognition of Service Award, 2009.
  • Best Paper Award, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Bangkok, Thailand, April 2009.
  • Best Paper Runner Up Award, 9th SIAM International Conference on Data Mining, 2009.
  • Best Paper Runner Up Award, 23rd Brazilian Symposium on Databases, 2008.
  • Honorable Mention for Best Paper Award, IEEE International Conference on Intelligence and Security Informatics, 2006.
  • IEEE Computer Society, Certificate of Appreciation, 2005.
  • ACM Recognition of Service Award, 2003.
  • DOE Office of Science Early Career Principal Investigator Award in Applied Mathematics, Computer Science and High-Performance Networks, 2002.
  • NSF Faculty Early Development Award (CAREER Award), 2001.

Professional Societies

  • Association for Computing Machinery (ACM), Distinguished Scientist

o   ACM SIGKDD: Special Interest Group on Data Mining, Board of Directors

o   ACM SIGMOD: Special Interest Group on Databases

o   ACM SIGBio: Special Interest Group on Bioinformatics, Computational Biology and Biomedical Informatics, Information Director

  • Institute for Electrical and Electronics Engineers (IEEE), Senior Member

o   IEEE Computer Society



  • System and Method for Scalable Parallel Classification for Data Mining on Shared-memory Systems,” Mohammed J. Zaki, Ching-Tien Ho, and Rakesh Agrawal, IBM Almaden Research Center (U.S. Patent #6230151, Granted on 5/8/2001).
  • Discovering Representative Composite CI Patterns in an IT System, Hewlett-Packard Company (U.S. Patent #82841900, Patent Pending, Filed October 2011).


  • Ph.D., Computer Science, July 1998, University of Rochester, Rochester, New York
  • M.S., Computer Science, May 1995, University of Rochester, Rochester, New York
  • B.S., Computer Science and Mathematics (dual), May 1993, Angelo State University, San Angelo, Texas

Selected Research


  • Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, December 2013.
  • Mohammed J. Zaki, Chris Bystroff (Eds.), Protein Structure Prediction, 2nd Edition, Methods in Molecular Biology, Vol. 413, Humana Press (Springer), 2008.
  • Richi Nayak and Mohammed J. Zaki (Eds.), Knowledge Discovery from XML Documents, Lecture Notes in Computer Science, Vol. 3915, Spring-Verlag, 2006.
  • Jason T.L. Wang, Mohammed J. Zaki, Hannu T.T. Toivonen, Dennis Shasha (Eds.), Data Mining in Bioinformatics, Springer-Verlag, London Ltd., 2005.
  • Mohammed J. Zaki and Ching-Tien Ho (eds.), Large-Scale Parallel Data Mining, Lecture Notes in Artificial Intelligence, State-of-the-Art-Survey, Vol. 1759, Springer-Verlag, 2000.

 Book Chapters

  • Mohammed J. Zaki, A Journey in Pattern Mining, in Mohamed M. Gaber (ed.), Journeys to Data Mining – Experiences from 15 Renowned Researchers, pg 231-241, Springer, 2012.
  • Mohammad Al Hasan, Mohammed J. Zaki, A Survey of Link Prediction in Social Networks, in Charu Aggarwal (ed.), Social Network Data Analytics, Chapter 9, pp 243-275, Springer, 2011.
  • Naren Ramakrishnan and Mohammed J. Zaki, Redescription Mining and Applications in Bioinformatics, in Jake Chen and Stefano Lonardi (eds.), Biological Data Mining, CRC Press, 2009.


Journals and Conferences

  • Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Golan Shahar, Moshe Shamy, Approximate Graph Mining with Label Costs. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Aug 2013.
  • Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan and Arik Sityon, Graph Mining for Discovering Infrastructure Patterns in Configuration Management Databases. Knowledge and Information Systems, 33(3):491-522. Dec 2012.
  • Arlei Silva, Mohammed J. Zaki and Wagner Meira Jr., Mining Attribute-structure Correlated Patterns in Large Attributed Graphs. Proceedings of the VLDB, 5(5):466-477, 2012.
  • Hilmi Yildirim, Vineet Chaoji and Mohammed J. Zaki, GRAIL: A Scalable Index for Reachability Queryies in Very Large Graphs.The VLDB Journal, 21(4):509-534. Aug 2012.
  • Geng Li, Murat Semerci and Bulent Yener and Mohammed J. Zaki, Effective Graph Classification based on Topological and Label Attributes. Statistical Analysis and Data Mining, 5(4):265-283. Aug 2012.
  • Mohammad Al Hasan and Mohammed J. Zaki, Output Space Sampling for Graph Patterns. Proceedings of the VLDB, 2(1):730-741. 2009.

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