Qiang Zhu, Ph.D.

Professor and Department Chair, William E. Stirton Professor, Computer and Information Science
College of Engineering and Computer Science
Computer and Information Science
111 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128
CIS 586: 4:00-5:50pm Th., or by appointments Chair's Open Office Hour: 11:30am - 12:30pm Wed., or by appointments

Teaching Areas:

Computer and Information Science, Data Science

Research Areas:

Data Management, Data Mining, Data Science, Machine Learning, Optimization, and Intelligent Systems

Biography and Education


  • Ph.D., University of Waterloo
  • M.S., McMasters University
  • M.Eng., Southeast University
  • B.S., Southeast University

Teaching and Research

Courses Taught

Selected Publications

  1. X. Liu, Qiang Zhu, S. Pramanik, C. T. Brown and G. Qian, "VA-Store: A Virtual Approximate Store Approach to Supporting Repetitive Big Data in Genome Sequence Analyses", IEEE Transactions on Knowlegdge and Data Engineering (TKDE), Vol. 32, No. 3, pp. 602-616, 2020
  2. J. Qian, Z. Huang, Qiang Zhu and H. Chen, "Hamming Metric Multi-Granularity Locality-Sensitive Bloom Filter", IEEE/ACM Transactions on Networking (TON), Vol. 26, No. 4, pp. 1660-1673, 2018
  3. J. Qian, Qiang Zhu, and H. Chen, "Multi-granularity Locality-sensitive Bloom Filter", IEEE Transactions on Computers (TC), Vol. 64, No. 12, pp. 3500 - 3514, 2015
  4. J. Qian, Qiang Zhu, and Y. Wang, "Bloom Filter Based Associative Deletion", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 25, No. 8, pp. 1986-1998, 2014
  5. C. Chen, A. Watve, S. Pramanik and Qiang Zhu, "The BoND-tree: An Efficient Indexing Method for Box Queries in Non-ordered Discrete Data Spaces", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25, No. 11, pp. 2629-2643, 2013
  6. M. Singh, Qiang Zhu and H.V. Jagadish, "SWST: A Disk Based Index for Sliding Window Spatio-Temporal Data", Proc. of the 28th IEEE International Conference on Data Engineering (ICDE'12) , pp. 342 - 353, 2012
  7. Z. Xu, Qiang Zhu, Y. Guo, TJ Giuli, V. Prasad and H. Huang, "Data Modeling and Optimization for Wireless Drive-Through Applications", IEEE Transactions on Intelligent Transportation Systems (T-ITS), Vol. 12, No. 4, pp. 1319 - 1330, 2011
  8. D. Fabbri, K. Lefevre and Qiang Zhu, "PolicyReplay: Misconfiguration-Response Queries for Data Breach Reporting", Proc. of the VLDB Endowment (PVLDB) - Issue for 36th International Conference on Very Large Data Bases (VLDB), Vol. 3, No. 1, pp. 36 - 47, 2010
  9. D. Kolbe, Qiang Zhu and S. Pramanik, "Efficient k-Nearest Neighbor Searching in Non-ordered Discrete Data Spaces", ACM Transactions on Information Systems (TOIS), Vol. 28, No. 2, 2010
  10. F. Yan, W.-C. Hou and Qiang Zhu, "Selectivity Estimation of Range Queries Based on Data Density Approximation via Cosine Series", Data & Knowledge Engineering, Vol. 63, No. 3, pp 853 - 876, 2007
  11. G. Qian, Qiang Zhu, Q. Xue and S. Pramanik, "Dynamic Indexing for Multidimensional Non-Ordered Discrete Data Spaces Using a Data-Partitioning Approach", ACM Transactions on Database Systems (TODS), Vol. 31, No. 2, pp 439-484, 2006
  12. G. Qian, Qiang Zhu, Q. Xue and S. Pramanik, "A Space-Partitioning-Based Indexing Method for Multidimensional Non-Ordered Discrete Data Spaces", ACM Transactions on Information Systems (TOIS), Vol. 23, No. 1, pp 79-110, 2006
  13. A. Ojewole, Qiang Zhu and W.-C. Hou, "Window Join Approximation over Data Streams with Importance Semantics", Proc. of the ACM 15th International Conference on Information and Knowledge Management (CIKM'06), pp 112-121, Arlington, VA, Nov. 2006
  14. A. Rahal, Qiang Zhu and P. A. Larson, "Evolutionary Techniques for Updating Query Cost Models in a Dynamic Multidatabase Environment", The International Journal on Very Large Data Bases ( VLDBJ), Vol. 13, No. 2, pp 162-176, 2004
  15. G. Qian, Qiang Zhu, Q. Xue and S. Pramanik, "The ND-Tree: A Dynamic Indexing Technique for Multidimensional Non-ordered Discrete Data Spaces", Proc. of 29th International Conference on Very Large Data Bases (VLDB'03) , pp 620 - 631, 2003

Awards and Recognition

  • 2020 Best Paper Award Finalist at CATA'20
  • 2018 Best Paper Award Finalist at SEDE'18
  • 2017 William E. Stirton Professorship
  • 2013 - 2018  NSF Research Grant (Grant#: IIS-1320078)
  • 2013 ACM Distinguished Scientist
  • 2010 - 2012  IBM Research Grant
  • 2008 The Wilkes Award (2008): Best Paper of Year for The Computer Journal (British Computer Society)
  • 2008 - 2010 Ford Research Grant
  • 2008 Best Paper Award at DASFAA'08
  • 2005 - 2009 NSF Research Grant (Grant#: IIS-0414594)
  • 2005 - 2009 NSF MRI Grant (Grant#: CNS-0521142)
  • 2007 Best Paper Award at CASCON'07
  • 2004 IBM Faculty Award
  • 2003 IBM CAS Faculty Fellow
  • 2003 IBM Faculty Award
  • 2002 - 2004 IBM Research Grant
  • 2001 UM-Dearborn Distinguished Faculty Research Award
  • 1999 - 2001 NSF MRI Grant (Grant#: EIA-9977548)
  • 1999/2000 IBM University Partnership Research Award
  • 1998 - 2002 NSF Research Grant (Grant#: IIS-9811980)
  • 1998 - 2000 IBM Research Grant
  • 1990 IBM CAS Research Fellowship