<p>Dr. Reza Adhami</p><p>Dr. Adhami has more than 20 years of experience in the areas of biometrics, digital signal processing, digital image processing, speech recognition, pattern recognition, and data/image compression. Dr. Adhami is a recipient of the Maurice Simpson Award for excellence in technical publication from The Institute of Environmental Science and Technology. His recent publications include applications of the wavelet transform in biometrics, vibration analysis, mammographic lesion classification, localized computed tomography, and data compression. Currently Dr. Adhami is a professor and the department chair of the ECE department at UAH. Some of Dr. Adhami’s most recent publications are listed in the bibliography [9-26].</p><p>Mr. Peter Meenen Mr. Meenen is a Ph.D. student in the Electrical and Computer Engineering Department of the University of Alabama in Huntsville. He has an MSEE in Signal Processing from UAH and a BS in Physics and Computer Science from Berry College. He is currently doing research in the Electrical and Computer Engineering Department’s Integrated Biometrics Laboratory in the areas of biometric fingerprint recognition and analysis. Some of his publications are listed in the bibliography [12,14,21].</p><p>Mr. Mark Horton</p><p>Mr. Horton has been working in the field of Analog and Digital signal processing in communications for about 20 years. Most of his time has been spent in the area of radar-based air defense systems while working for the US Army Aviation and Missile Command. Within this area he has worked with the testing of radar based (C-band, X- band, and Ka-band monopulse) seekers, the decoding of telemetry (PAM, PCM, FM), real-time complex target signature (echo) modeling and generation, evaluation of high range resolution target tracking, split-gate range tracking, and real-time hardware-in-the- loop testing and simulation development. Mr. Horton obtained both his BS and MS in Electrical Engineering from UAH and is currently a Ph.D. student investigating fingerprint-based biometrics in the Electrical and Computer Engineering Department’s Integrated Biometrics Laboratory. His most recent publication is listed in the bibliography [12].</p><p>Mr. Paul Cox</p><p>Mr. Cox has over 15 years of experience in advanced algorithm research and development, software application development, and real-time hardware implementation of algorithms for a wide range of military and commercial applications. His experience with algorithm development includes such applications as pattern classification, image/video compression, image enhancement, resolution enhancement, data de-noising, and blind de-convolution. Specific areas of algorithm experience included: wavelet mathematics, neural networks, optimization, and statistical classification techniques. Mr. Cox’s software focus has been on developing tools and applications for image processing, data analysis/visualization and database creation. His specific software application’s experience includes real-time video compression/decompression on the PC, development of real-time data acquisition software, implementation of a software data analysis/reduction tool for infrared video, real-time implementation of automatic target recognition algorithms for hardware specific platforms. </p>