KOZAITIS, Samuel P.

Samuel P. KOZAITIS}

Contact Information

Professor
Electrical and Computer Engineering
College of Engineering
F.W. Olin Engineering, 348
Phone: 8060
Email: kozaitis@fit.edu

Web & Social Networking

College of Engineering

Electrical and Computer Engineering

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Research & Project Interests

Dr. Kozaitis’s research emphasis is on the development of algorithms to reduce noise in signals and images and to automatically detect important features. He has also worked with magnetooptic and ferroelectric materials to spatially modulate light. He developed system architectures using spatial light modulators and coherent imaging to automatically identify objects. Much of this work led to the development of advanced signal processing algorithms and, more recently, wavelet-based processing and higher-order correlations to recover features from heavily degraded signals corrupted by noise.

Keywords

Image Fusion
Signal Denoising
Automated Feature Extraction

Professor
Electrical and Computer Engineering, College of Engineering

Educational Background

B.S. Wayne State University 1982
M.S. Wayne State University 1983
Ph.D. Wayne State University 1986

Professional Experience

Dr. Kozaitis is currently a professor and Department Head in the Department of Electrical and Computer Engineering. He worked for General Motors Research Laboratory, Wayne State University, and Digital Optics Inc. before coming to Florida Tech. From 1988 - 1997, he spent summers at the U.S. Air Force Photonics Center at Rome Laboratory performing research on optical processing. He also spent the summers of 2000 and 2001 at NASA, Kennedy Space Center, FL developing the groundwork for tracking launch vehicles with satellites. He is on the program committee of the Technical Committee on Pattern Recognition of IASTED, the advisory board of Journal of Engineering Research, the editorial board of Journal of Signal and Image Processing, and the board of trustees of the Kurdistan University of Science and Technology. He served as chairman of SPIE and IASTED conferences and as a reviewer for a wide variety of journals, books, conferences, and research programs. He is a member of IEEE, Sigma Xi, SPIE, and Tau Beta Pi and received the outstanding faculty service award at Wayne State University.

Current Research

Removing image-dependent noise from medical imagery

Selected Publications

S. P. Kozaitis, J. Mehta, and S. Ponkia, "Denoising computed tomography imagery using a novel framework", Optical Engineering 50, 127007 (2011),

S. P. Kozaitis, Denoising of x-ray imagery with spatially-varying estimates of noise variance, in Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, H. H. Szu, F. J. Agee, Eds., Proc. SPIE 7703, 7703OV, doi: 10.1117/12.850791, (2010)

S. P. Kozaitis, and T. Young, Denoising using Adaptive Thresholding and Higher Order Statistics, in Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII, , H. H. Szu, F. J. Agee, Eds., Proc. SPIE 7343, (2009), DOI: 7343OF

S. P. Kozaitis, Improved feature detection in ECG signals through denoising, Journal of Signal and Imaging Systems Engineering, vol. 1(2), 108-114 (2008)

M. Ouendeno, and S. P. Kozaitis, Using denoising to improve image fusion performance, Journal of Signal and Imaging Systems vol. 1(2), 127-134 (2008)

M. Ouendeno, and S. P. Kozaitis, Wavelet-based fusion approach using unique reconstruction approach, in Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors and Neural Networks V, H. H. Szu, Ed., Proc. SPIE 6576, 65760G-1 - 65760G-7 (2007)

S. Kozaitis, and R.H. Cofer, Lineal feature detection using multiresolution wavelet filters, Photogrammetric Engineering & Remote Sensing, vol. 71, No. 6, 689-697 (2005)