Soon M. Chung
Professor
Dept. of
Computer Science and Engineering
(937)
775-5119, soon.chung@wright.edu
http://www.cs.wright.edu/~schung
Research Interests: Data Grid, information security, data mining, text mining,
XML, parallel/distributed database, multimedia databases, parallel/distributed processing.
Education
·
Ph.D. in Computer Engineering, May 1990,
Dissertation: A Relational Algebra
Machine Based on Surrogate Files for Very
Large
Data/Knowledge Bases. (Advisor: P. Bruce Berra)
·
MS in Electrical Engineering, Feb. 1981, KAIST,
Thesis: A New Image Segmentation Technique. (Advisor: Minsoo Suk)
·
BS in Electronic Engineering, Feb. 1979,
Professional Experience
·
2003–present, Professor at
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1996–2003, Associate Professor at
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1998, Visiting Professor at the Information and
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1997–1998, Visiting Researcher at ETRI,
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1989–1996, Assistant Professor at
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1986–1989, Research Assistant at
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1985, Teaching Assistant at
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1981–1984, Engineer at Daewoo Engineering Co.,
Professional Service
·
Program Chair of the 20th IEEE Int'l Conference on
Tools with Artificial Intelligence – ICTAI 2008, 2008.
·
Associate Editor of
Int’l Journal on Artificial Intelligence Tools (IJAIT), published by World
Scientific.
·
General Chair and Program Co-Chair of the IT
Symposium of the US-Korea Conference on Science, Technology and
Entrepreneurship – UKC 2007, 2007.
·
NSF Program panelist, 2004–2006, 2008.
Recent Grants and Contracts
·
Co-PI: “Intelligent Model Assisted Sensing System
(iMASS) for Fast and Accurate Nuclear Material Interrogation,” Department of
Homeland Security and NSF/Purdue University, 9/1/2007–8/31/2010, $300,000. (PI: Nikolaos Bourbakis).
·
PI: “Establish an Efficient Large-Linked Database for
Epidemiological Studies,” AFRL/DAGSI Research Fellowship, 6/15/06−6/14/07,
Funding $55,618. (Co-PI: Eric R. Master)
·
PI:
“Work-Centered Software System,” AFRL/DAGSI Research Fellowship, 6/13/05−11/18/06,
Funding $61,092 (Co-PI: James Knapp)
·
PI:
“Development of Parallel Data Mining Algorithms for Text and Formatted
Databases,” Wright Brothers
Institute (WBI)/Secure Knowledge Management (SKM) Program, 6/1/03−9/30/05, Funding $145,878.
·
Co-PI: “Cluster Computing for Large Scale Neural
Networks, Data Mining, Simulation, Fault Tolerance and Sequence Analysis,” Ohio
Supercomputer Center (OSC), 3/2003, Equipment grant of 32-processor Linux
cluster system. (PI: Nikolaos Bourbakis)
·
PI: “Development of a Parallel Text Data Mining
System,” LexisNexis, 9/1/00−7/31/02, Funding $34,575.
·
PI: “Parallel Data Mining on a Cluster of
Workstations,”
Computer Science Collaborative Research
Funding, 7/1/00−12/31/03, Funding $86,366.
·
Co-PI: “NCR WorldMark Parallel Data Warehouse
System,” NCR Equipment Grant, 2/2000, $1,250,000. (PI: P. Bruce Berra)
·
Co-PI: “Content-based Retrieval and Data Mining of
Image and Video Databases,” IT Alliance
Research Committee; 2/99−12/99, Funding $50,000. (Co-PIs: A. Goshtasby,
M. Cox)
·
Co-PI: “OCARNet:
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Co-PI: “Development of Specialized Communications and
Terminal Equipment for Research in Information and Education Technology,” NSF
Academic Research Infrastructure Program, Grant No. CDA-9601670; 9/96−6/2000,
Funding $241,314. (PI: Dr. Oscar N. Garcia)
·
Co-PI: “
Selected Recent Publications
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Y. Li, C. Luo, and S. M. Chung, “Text Clustering with
Feature Selection by Using Statistical Data,” IEEE Trans. on Knowledge and Data
Engineering, Vol. 20, No. 5, 2008, pp.
641–652.
·
Y. Li, S. M. Chung,
and J. D. Holt, “Text Document Clustering Based on Frequent Word Meaning
Sequences,” Data & Knowledge
Engineering, Vol. 64, No. 1, Elsevier Science, 2008, pp. 381–404.
·
S. M. Chung and
C. Luo, “Efficient Mining of Maximal Frequent Itemsets from Databases on a
Cluster of Workstations,” Knowledge and
Information Systems, Vol. 16, No. 3, Springer, 2008, pp. 359–391.
·
C. Luo and S. M.
Chung, “A Scalable Algorithm for Mining Maximal Frequent Sequences Using a
Sample,” Knowledge and Information
Systems, Vol. 15, No. 2, Springer, 2008, pp. 149−179.
·
A. L. Pereira, V. Muppavarapu, and S. M. Chung,
“Managing Role-Based Access Control Policies for Grid Databases in OGSA-DAI
Using CAS,” Journal of Grid Computing,
Vol. 5, No. 1, Springer, 2007, pp. 65−81.
·
A. L. Pereira, V. Muppavarapu, and S. M. Chung,
“Role-Based Access Control for Grid Database Services Using the Community
Authorization Service,” IEEE Trans. on
Dependable and Secure Computing, Vol. 3, No. 2, 2006, pp. 156−166.
·
Y. Li and S. M. Chung, “Parallel Bisecting K-Means
with Prediction Clustering Algorithm,” The Journal of Supercomputing, Vol. 39, No. 1, Springer,
2007, pp. 19−37.
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J. D. Holt and S.
M. Chung, “Parallel Mining of Association Rules from Text Databases,” The Journal
of Supercomputing, Vol. 39, No. 3,
Springer, 2007, pp. 273−299.
·
C. Luo, A. L. Pereira, and S. M. Chung, “Distributed Mining
of Maximal Frequent Itemsts on a Data Grid System,” The Journal of Supercomputing, Vol. 37, No. 1, Springer, 2006, pp. 71−90.
·
S. M. Chung and A. L.
Pereira, “Timed Petri Net Representation of SMIL,” IEEE Multimedia, Vol. 12, No. 1, 2005, pp. 64−72.
Names of advisors, advisees, and collaborators
Advisors: P. Bruce Berra, Minsoo Suk
Ph.D. advisees: Pyeong S. Mah, Scott Campbell, John D. Holt,
Congnan Luo, Yanjun Li,
Marwan
Maarouf, Anil Pereira
Collaborators: Yiming Hu, Juhnyoung Lee, Vincent Schmidt