Department of Operational Sciences
Email: Mark Friend
Ph.D. 2007 Air Force Institute of Technology (Operations Research), Omega Rho, Tau Beta Pi
M.S. 1998 Air Force Institute of Technology (Operations Research), Omega Rho
B.S. 1996 Texas Christian University (Computer Science), Upsilon Pi Epsilon
Pattern recognition techniques applied to the area of automatic target recognition, applied multivariate statistics, mobility modeling and analysis
PATTERN RECOGNITION
APPLIED STATISTICS
Dissertation: Combat Identification with Synthetic Aperture Radar, Out-of-Library Identification, and Non-Declarations.
Thesis: Using Simulation to Model Time Utilization of Army Recruiters
Refereed Articles:
Mindrup, F.M., Bauer, K.W. and Friend, M.A, “Extending robust parameter design to noise by noise interactions with an application to hyperspectral imagery”, Int. J. Quality Engineering and Technology, Vol. x, No. x, 2012.
Fairul Mohd-Zaid, Kenneth W. Bauer, Mark A. Friend, “Face Recognition via Ensemble SIFT Matching of Uncorrelated Hyperspectral Bands and Spectral PCTs", Int. Journal Tomography & Statistics, Vol 19 (1), 2012
Friend, M.A. and K.W. Bauer, "An Entropy Based Scheme for Automatic Target Recognition," Journal of Defense Modeling and Simulation, accepted 23 October 2009
Cordeiro, J.D., Friend, M.A., Miller, J.O., Bauer, K.W., and Kloeber, J.M. “Using Simulation to Model Time Utilization of Army Recruiters,” Military Operations Research, Vol 6 No. 3, 2001.
Conference Proceedings Papers and Presentations:
Frank M. Mindrup, Mark A. Friend, and Kenneth W. Bauer, “Selecting training and test images for optimized anomaly detection algorithms in hyperspectral imagery through robust parameter design.”, Proceeding of SPIE,8048(1):80480C (2011).M. Friend and K. Bauer, Non-Declaration Measures for Classifier Accuracy, Proceeding of the Artificial Neural Networks In Engineering Conference (ANNIE 2007), Editors: C. Dagli, D. Enke, A. Buczak, M. Embechts, O. Ersoy, pp 481-486, St. Louis, MO, Nov 2007
M. Friend and K. Bauer, ROC Trajectory Measures For Classifier Accuracy and Robustness, Proceeding of the Artificial Neural Networks In Engineering Conference (ANNIE 2006), Editors: C. Dagli, D. Enke, A. Buczak, M. Embechts, O. Ersoy, pp 299-304, St. Louis, MO, Nov 2006
Presentations:
Friend, M. A., Anderson, D. R “Observed differences in efficiency between planning and execution of passenger and cargo movements”, presented at 78th MORS Symposium, Quantico, VA, 2010
Cordeiro, J.D., Friend, M., Bauer, K.W., Miller, J.O., and Kloeber, J.M. “Using Simulation to Model Time Utilization of Army Recruiters”, presented at 66th MORS Symposium, Monterey, CA, June 1998. Selected as best presentation in the Manpower and Personnel Working Group and nominated for the $1,000 Barchi Prize.