Qiang Zhu, Ph.D.

Professor and Department Chair, William E. Stirton Professor, Computer and Information Science
Qiang Zhu
College of Engineering and Computer Science
Computer and Information Science
DAIR
[email protected]
313-593-4998
111 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128
CIS 421: 12:30 - 1:30pm TR or by appointments.
http://www-personal.umd.umich.edu/~qzhu/
Michigan Expert (MExpert) Profile

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

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 Knowledge 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

  • 2023 Associate Editor, Journal of Big Data (Springer)
  • 2022 Associate Editor, International Journal of Data Science and Analytics (Springer)
  • 2021 Lead Guest Editor, Distributed and Parallel Databases (Springer)
  • 2020 Best Paper Award Finalist at CATA'20
  • 2020 Associate Editor, IEEE Transactions on Intelligent Transportation Systems
  • 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
  • 2013 Associate Editor, Information Science (Elsevier)
  • 2012 Associate Editor-in-Chief, International Journal of Information Processing and Management
  • 2010 - 2012  IBM Research Grant
  • 2010 Editor-in-Chief, International Journal of Computers and Their Applications
  • 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
  • 2008 Editor, Journal of Computers
  • 2005 - 2009 NSF Research Grant (Grant#: IIS-0414594)
  • 2005 - 2009 NSF MRI Grant (Grant#: CNS-0521142)
  • 2007 Best Paper Award at CASCON'07
  • 2005 Associate Editor, International Journal of Computers and Their Applications
  • 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