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 and distributed database;
multimedia databases; parallel and 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,
Positions and Employment
·
2003–present, Professor at
·
1996–2003, Associate Professor at
·
1998, Visiting Professor at the Information and
·
1997–1998, Visiting Researcher at ETRI,
·
1989–1996, Assistant Professor at
·
1986–1989, Research Assistant at
·
1985, Teaching Assistant at
·
1981–1984, Engineer at Daewoo Engineering Co.,
Recent Professional Services
·
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, 2008–2009.
Recent Grants and Contracts
·
PI: “Service-Oriented Integration of Distributed
Biomechanical Engineering Resources,'' AFRL/DAGSI Research Fellowship,
6/15/09–6/14/10, Funding $57,487. (Co-PI: Austin D. Bangert)
· 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:
·
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)
Selected Recent Publications
·
V. Muppavarapu, A. L. Pereira, and S. M. Chung,
``Role-Based Access Control for a Grid System Using OGSA-DAI and Shibboleth,''
accepted to The Journal of Supercomputing.
·
V. Muppavarapu and S. M. Chung, “Role-Based Access
Control in a Data Grid Using the Storage Resource Broker and Shibboleth,” Journal of Grid Computing, Vol. 7, No. 2, Springer, 2009, pp. 265−283.
·
C. Luo, Y. Li, and S. M. Chung, “Text Document
Clustering Using Neighbors,” Data &
Knowledge Engineering,” Vol. 68, No.
11, Elsevier Science, 2009, pp. 1271–1288.
·
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.
· 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.
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