Jiang Li, Associate Professor

Ph.D. (2003) Electrical Engineering & Computer Science, University of Nebraska - Lincoln
M.S. (1998), B.S. (1995) Electronics Engineering, Beijing Institute of Technology

Dr. Jiang Li joined the Department of Computer Science and Information Technology
at Austin Peay State University in August 2003. He has published papers in refereed journals and presented several conference papers. His research interest is in data mining, image processing, machine learning, software engineering, networking, and object databases. He is a member of Association of Computing Machinery (ACM) and a  member of ODBMS.ORG's Panel of Experts.     

"Education is not preparation for life, education is life itself."
                                                     John Dewey

TEACHING - FALL 2009 Courses Taught

CSCI 2010 Introduction to Programming II - Online
CSCI 3300 Introduction to Web Development
CSCI 3770 Microsoft Windows Network Operating System Administration
CSCI 4050 Multimedia Tools and Technique
CSCI 4600 Software Design and Development

SELECTED PUBLICATIONS

1. J. Li, "Teaching unified process in software design and development courses – a case study," The Journal of Computing Sciences in Colleges, vol. 24, no. 5, pp. 5 – 11, May 2009.

2. J. Li, "Hierarchical land cover information retrieval in object-oriented remote sensing image databases with native queries," 45th ACM Southeast Conference ACM SE’07, Winston-Salem, North Carolina, USA, March, 23 – 24, 2007, pp. 467 – 472.

3. J. Li and R. M. Narayanan, "Integrated spectral and spatial information mining in remote sensing," IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 673 – 685, March 2004.

4. J. Li and R. M. Narayanan, "A shape-based approach to change detection of lakes using time series remote sensing images," IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 11, pp. 2466 – 2477, November 2003.

5. J. Li, R. M. Narayanan, W. J. Waltman, and A. J. Peters, "Fuzzy feature-based image mining in remote sensing," Proc. SPIE AeroSense Conference on Data Mining and Knowledge Discovery, Orlando, Florida, April 2001, vol. 4384, pp. 46 – 55.

Last Updated: 09/16/2009 23:12:01
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