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Curriculum Vita

Dr. Ryan A. Kerekes

P.O. Box 2008, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6075
Wk: (865) 576-7847, Fax: (865) 576-8993
E-mail: kerekesra@ornl.gov

Experience


Dr. Ryan Kerekes is a Reserach and Development Engineer in the Imaging, Signals, and Machine Learning (ISML) group at ORNL.  His research interests include image processing, pattern recognition, machine learning, and computer vision for biomedical, defense, and national security applications.  Ryan received the Ph.D. degree in Electrical and Computer Engineering at Carnegie Mellon University in 2007 under Prof. Vijayakumar Bhagavatula and Dr. Marios Savvides.  His dissertation was on the use of correlation filtering techniques for improved automatic target recognition (ATR) in video sequences. While at Carnegie Mellon, Ryan was the recipient of the Northrop Grumman Graduate Research Fellowship.

Education


Ph.D.

Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, 2007

M.S.

Eletrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, 2005

B.S. Computer Engineering, University of Tennessee, Knoxville, Tennessee, 2003

Issued and Pending Patents


“Four-Dimensional Characterization of a Sheet-Forming Web,” U.S. Patent No. 6,553,133, April 22, 2003.

Selected Publications


Kerekes, R. A., Gleason, S. S., Martins, R. A. P. and Dyer, M., “Fully automated segmentation and characterization of the dendritic trees of retinal horizontal neurons”, BSEC 2010: Annual ORNL Biomedical Science and Engineering Conference, May 2010. (PDF Doucment)

Kerekes, Ryan A.; Gleason, Shaun S.; Trivedi, Niraj; Solecki, David J., “Automated method for tracing leading and trailing processes of migrating neurons in confocal image sequences”, Medical Imaging 2010: Image Processing. Edited by Dawant, Benoit M.; Haynor, David R. Proceedings of the SPIE, Volume 7623, pp. 76233T-76233T-10 (2010). (PDF Document)

Solecki, D. J., Trivedi, N., Govek, E.-E., Kerekes, R. A., Gleason, S. S., Hatten, M. E.,"Myosin II Motors and F-Actin Dynamics Drive the Coordinated Movement of the Centrosome and Soma During CNS Glial-Guided Neuronal Migration," submitted to Nature Neuroscience, Mar. 2009. (PDF Document)

Kerekes, R. A., Gleason, S. S., Trivedi, N. and Solecki, D. J., “Automated 3-D tracking of centrosomes in sequences of confocal image stacks,” submitted to EMBC `09, Minneapolis, 2009. (PDF Document)

Kerekes, R. A. and Vijaya Kumar, B. V. K., “Enhanced Video-Based Target Detection Using Multi-Frame Correlation Filtering,” to appear in IEEE Trans. Aerosp. Electr. Sys. 45, 2009.

Kerekes, R. A. and Vijaya Kumar, B. V. K., “Integrating Correlation Filtering and Tracking for Better Target Detection,” SPIE Newsroom, January 2008.

Kerekes, R. A. and Vijaya Kumar, B. V. K., “Selecting a Composite Correlation Filter Design: A Survey and Comparative Study,” Optical EngineerinG 47(6), 067202.1-067202.18, 2008.

Kerekes, R. A. and Vijaya Kumar, B. V. K., “Multiple Target Detection in Video Using Quadratic Multi-Frame Correlation Filtering,” (invited paper) to appear in Proceedings of SPIE: Optical Pattern Recognition XIX, 2008.

Kerekes, R. A., Narayanaswamy, B., Thornton, J., Savvides, M., and Vijaya Kumar, B. V. K., “Graphical Model Approach to Iris Image Matching Under Local Shifts and Occlusions,” IEEE Conf. on Computer Vision and Pattern Recognition (CVPR `07), June 2007.

Kerekes, R. A., “Combining Correlation Outputs for Enhanced Distortion-Tolerant Target Detection,” Ph.D. thesis, Carnegie Mellon University, May 2007.

Kerekes, R. A. and Vijaya Kumar, B. V. K., “Correlation Filters with Controlled Scale Response,” IEEE Trans. Image Processing 15, 1794-1802, July 2006.

Kerekes, R. A., Narayanaswamy, B., Beattie, M., Vijaya Kumar, B. V. K., and Savvides, M., “Efficient Multi-Frame Correlation Filtering for Video Sequences,” Proceedings of SPIE vol. 6245: Optical Pattern Recognition XVII, 2006.

Kerekes, R. A., Savvides, M., Vijaya Kumar, B. V. K., and Sims, S. R. F., “Fractional Power Scale-Tolerant Correlation Filters for Enhanced Automatic Target Recognition (ATR) Performance,” Proceedings of SPIE vol. 5807: Automatic Target Recognition XV, pp. 317-328, 2005.

Kerekes, R. A., Vijaya Kumar, B. V. K. and Sims, S. R. F., “Estimating Performance Limits for Automatic Target Recognition in Compressed Video,” Proceedings of SPIE vol. 5807: Automatic Target Recognition XV, pp. 296-307, 2005.

Savvides, M., Heo, J., Thornton, J., Hennings, P., Xie, C., Venkataramani, K., Kerekes, R., Beattie, M., and Vijaya Kumar, B. V. K., “Biometric Identification Using Advanced Correlation Filter Methods – Part I Theory,” accepted on Springer-Verlag Lecture Notes in Computer Science, Ambient Intelligence.

Savvides, M., Heo, J., Thornton, J., Hennings, P., Xie, C., Venkataramani, K., Kerekes, R., Beattie, M., and Vijaya Kumar, B. V. K., “Biometric Identification Using Advanced Correlation Filter Methods – Part II Applications,” accepted in Springer-Verlag Lecture Notes in Computer Science, Ambient Intelligence.

 

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Events

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News

September 2012

Artemis Magazine Article

April 2012

ISML Group Book Chapter in Medical Imaging edited by Okechukwu Felix Erondu released online

June 2011

ISML Iris Project Highlighted on Page 3 in the Energy and Environmental Sciences Quaterly Newsletter

September 2010

Imaging, Signals, and Machine Learning Group Provides Image Analysis Tools to Help Catch Child Predators

July 2010

ISML publishes book chapter on x-ray micro-CT technology

March 2010

ISML group studies neutron imaging for cancer

News Archive

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Publications

2010 Publications