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Dr. Jiang Li, Professor, Graduate Coordinator

The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails.
— William Arthur Ward

Dr. Jiang Li joined the Department of Computer Science and Information Technology 
at Austin Peay State University in August 2003. His research interest is in data mining,
image processing, machine learning, software engineering, distributed computing, and object databases. He currently serves on ODBMS.ORG's Panel of Experts and serves as the Editor-in-Chief for the International Journal of Image, Graphics and Signal Processing (IJIGSP).


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

TEACHING - Fall 2016  Courses Taught

CSCI 5080 Data Mining Applications
CSCI 4800 Senior Seminar
CSCI 4450 Introduction to Artificial Intelligence
CSCI 2080 Programming in Selected Languages - C#


1. J. Li, L. Wang, L. Williams, and C. Allan, "Development of a novel computer application to teach counting in K-2 classroom using the Unified Process method," International Journal of Modern Education and Computer Science, IJMECS, vol.7, no.10, pp.1-11, 2015.DOI: 10.5815/ijmecs.2015.10.01. 

2. J. Li, W. Rich, and D. Buhl-Brown, "Texture analysis of remote sensing imagery with clustering and Bayesian inference," International Journal of Image, Graphics, and Signal Processing, IJIGS, vol.7, no.9, pp.1-10, August 2015. DOI: 10.5815/ijigsp.2015.09.01.

3. J. Li, "Development of programming projects for object-oriented programming courses: from console to GUI applications," The Journal of Computing Sciences in Colleges, vol. 30, no. 2, pp. 4-16, December 2014.

4. J. Li, "Texture classification of Landsat TM imagery using Bayes Point Machine," in Proceedings of the 51th ACM Southeast Conference ACM SE’13, Savannah, Georgia, April 4-6, 2013.

5. S. Jator and J. Li, "An algorithm for second order initial and boundary value problems with an automatic error estimate based on a third derivative method," Numerical Algorithms, vol. 59, no. 3, pp. 333-346, March, 2012.  

6. J. Li, "Remote sensing image information mining with HPC cluster and DryadLINQ," in Proceedings of the 49th ACM Southeast Conference ACM SE’11, Kennesaw, Georgia, March 24 – 26, 2011, pp. 227-232.

7. S. Jator and J. Li, "Solving two-point boundary value problems by a family of linear multistep methods," Neural, Parallel, and Scientific Computations, vol. 17, no. 2, pp. 135-146, June 2009.

8. 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.

9. S. Jator and J. Li, "A self-starting linear multistep method for a direct solution of the general second order initial value problem," International Journal of Computer Mathematics, vol. 86, no. 5, pp. 827-836, May 2009.

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

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

12. 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.

13. 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.