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Joseph N Wilson, Ph.D.

Associate Professor

Research Areas: 
Information Security
Machine Learning
  • Ph.D., Computer Science, University of Virginia, 1985
  • M.S., Applied Mathematics and Computer Science, University of Virginia, 1980
  • B.S., Applied Mathematics with the Emphasis on Computer Science, The Florida State University
Current and Recent Courses: 
Fall 2014CIS 4204/CIS 6930

Penetration Testing--Ethical Hacking

Spring 2014CIS 4930/CIS 6960Malware Reverse Engineering



D.E. Gonsalves, L.H. Winner, J.N. Wilson. Improvement of Handheld Radar Operators' Hazard Detection Performance Using 3-D Visualization, IEEE Geoscience and Remote Sensing Letters 14(11), 1888-1892, 2017.

R. Close, P. Gader, and J. Wilson. Hyperspectral unmixing using macroscopic and microscopic mixture models. Journal of Applied Remote Sensing, 8(1):083642–083642, 2014.

B. Smock, J. Wilson, and T. Glenn. A hybrid approach to the fusion of partially-coinciding alarms from asynchronous or specialized detectors. In SPIE Defense+ Security, pages 90911D–90911D. International Society for Optics and Photonics, 2014.

C. Pazhayidam George, S. Puri, D. Z. Wang, J. N. Wilson, and W. F. Hamilton. Smart electronic legal discovery via topic modeling. In The Twenty-Seventh International Flairs Conference, 2014.

B. Smock, T. Glenn, and J. Wilson. University of florida, computer and information science and en- gineering department, po box 116120, cse rm 301, gainesville, 32611, usa. In Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, pages 4395–4398. IEEE, 2013.

S. E. Yuksel, J. N. Wilson, and P. D. Gader. Twenty years of mixture of experts. Neural Networks and Learning Systems, IEEE Transactions on, 23(8):1177–1193, 2012.

R. Close, P. Gader, A. Zare, J. Wilson, and D. Dranishnikov. Endmember extraction using the physics- based multi-mixture pixel model. In SPIE Optical Engineering+ Applications, pages 85150L–85150L. International Society for Optics and Photonics, 2012.

H. Frigui, L. Zhang, P. Gader, J. N. Wilson, K. Ho, and A. Mendez-Vazquez. An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination. Information Fusion, 13(2):161– 174, 2012.

C. P. George, D. Z. Wang, J. N. Wilson, L. M. Epstein, P. Garland, and A. Suh. A machine learning based topic exploration and categorization on surveys. In Machine Learning and Applications (ICMLA), 2012 11th International Conference on, volume 2, pages 7–12. IEEE, 2012.



General Ronald W. Yates Award for Excellence in Technology Transfer, AFL, 1998.

ACM Professor of the Year award for 2001-2002 from the University of Florida ACM Student Chapter.

1994-95 University of Florida Teaching Incentive Program award recipient.





Lab Room: 
Primary Research Area: 
Information Security