Associate Professor

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

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

Curriculum Vitae            Courses Taught      

     

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


TEACHING - FALL 2008

CSCI 2010 Introduction to Programming II
CSCI 2080 Programming in Selected Languages II - Visual Basic .NET
CSCI 3300 Introduction to Web Development
CSCI 3770 Microsoft Windows Network Operating System Administration 
CSCI 4450 Introduction to Artificial Intelligence
CSCI 4800 Computer Science and Information Systems Seminar

SELECTED PUBLICATIONS

1. 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.

2. 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.

3. 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.

4. 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:  09/23/2008 13:04:34
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