Soon M. Chung

Professor

Dept. of Computer Science and Engineering

Wright State University

Dayton, Ohio 45435

(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, Syracuse University, Syracuse, New York

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, Korea

Thesis: A New Image Segmentation Technique. (Advisor: Minsoo Suk)

· BS in Electronic Engineering, Feb. 1979, Seoul National University, Korea

Professional Experience

· 2003–present, Professor at Wright State University, Dayton, Ohio

· 1996–2003, Associate Professor at Wright State University

· 1998, Visiting Professor at the Information and Communication University (ICU), Korea

· 1997–1998, Visiting Researcher at ETRI, Korea

· 1989–1996, Assistant Professor at Wright State University

· 1986–1989, Research Assistant at Syracuse University

· 1985, Teaching Assistant at Syracuse University

· 1981–1984, Engineer at Daewoo Engineering Co., Korea

Professional Service

· Program Co-Chair of the FTRA Int’l Symposium on Advances in Cryptography, Security and Applications for Future Computing (ACSA- Summer 2012), 2012.

· General Chair of the 21st IEEE Int'l Conference on Tools with Artificial Intelligence – ICTAI 2009, 2009.

· 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.

· NSF Program panelist, 2004–2006, 2008–2009, 2011.

Recent Grants and Contracts

· PI: “Service-Oriented Integration of Distributed Biomechanical Engineering Resources,'' AFRL/DAGSI Research Fellowship, 6/15/09–12/31/10, Funding $71,768. (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, $309,717. (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,” Ohio Board of Regents (OBR)

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: “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: “Information Technology Center Infrastructure,” Ohio Board of Regents Investment Fund; 6/96−5/99, Funding $746,000. (PI: Dr. Oscar N. Garcia)

Selected Recent Publications

· Y. Li, C. Luo, and S. M. Chung, “Weighted Naïve Bayes for Text Classification Using Positive Term-Class Dependency,” accepted to Internal Journal on Artificial Intelligence Tools, World Scientific.

· C. Luo and S. M. Chung, “Parallel Mining of Maximal Sequential Patterns Using Multiple Samples,” The Journal of Supercomputing, Vol. 59, No. 2, Springer, 2012, pp. 852–881.

· V. Muppavarapu, A. L. Pereira, and S. M. Chung, “Role-Based Access Control for a Grid System Using OGSA-DAI and Shibboleth,” The Journal of Supercomputing, Vol. 54, No. 2, Springer, 2010, pp. 154–179.

· 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.

· 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, Vineela Muppavarapu, Sang M. Park

Collaborators: Yiming Hu, Juhnyoung Lee, Vincent Schmidt