Ryan Kerekes Postdoctoral Research Associate Image Science and Machine Vision (ISMV) Group Measurement Science and Systems Engineering Division Oak Ridge National Laboratory
	e: kerekesra@ornl.gov p: (865) 576-7847 f: (865) 576-8993

Welcome…

…to my work web site. I am employed as a researcher at Oak Ridge National Laboratory, and my primary interests are in image analysis and computer vision for biomedical, defense, and national security applications. Here you can read about some of my ongoing and past research projects.

In the News

3/30/09	ORNL, St. Jude track neurons to predict and prevent disease (ORNL News Release)
10/29/08	ORHS students to attend Siemens regional contest (The Oak Ridger)
4/1/08	Integrating correlation filtering and tracking for better target detection (SPIE Newsroom)

Education

2007	Ph.D., Electrical and Computer Engineering, Carnegie Mellon University
2005	M.S., Electrical and Computer Engineering, Carnegie Mellon University
2003	B.S., Computer Engineering, University of Tennessee, Knoxville

Research

	Automated centrosome tracking in 4-D neuron imagery The centrosome is believed to play a key role in neuronal migration, but the mechanics are largely unknown. Neurobiologists are interested in studying the movement of this organelle during the migration cycle. We have developed algorithms to automatically detect and track centrosomes in time-lapse sequences of 3-D confocal image stacks. This project is in collaboration with Dr. David Solecki at St. Jude Children’s Research Hospital.
	Automated analysis of neuronal morphology The morphology (i.e., size, shape, branching structure) of a neuron is the key determinant of its function in the nervous system. Morphological abnormalities in retinal neurons have been linked to retinoblastoma, a type of retinal cancer. We are attempting to automatically characterize the morphology of retinal horizontal cells in 3-D confocal imagery in order to discover morphological features that may be early indicators of such diseases. This project is in collaboration with Dr. Michael Dyer at St. Jude Children’s Research Hospital.
	3-D roadside vehicle tracking using stereo vision We are developing advanced stereo vision algorithms that will track moving vehicles from a stationary roadside trailer-mounted camera pair. The tracking system must be able to handle interstate speeds and multiple lanes of traffic with high positional accuracy in 3-D.

Publications

Journal

D. J. Solecki, N. Trivedi, E.-E. Govek, R. A. Kerekes, S. S. Gleason, M. E. Hatten, "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.

R. A. Kerekes and B. V. K. Vijaya Kumar, “Enhanced video-based target detection using correlation filters”, IEEE Trans. Aerosp. Elec. Sys., vol. 45, no. 1, pp. 289-307, 2009.

R. A. Kerekes and B. V. K. Vijaya Kumar, “Selecting a composite correlation filter design: a survey and comparative study,” Optical Engineering, vol. 47, no. 6, 2008.

R. A. Kerekes and B. V. K. Vijaya Kumar, “Correlation filters with controlled scale response,” IEEE Trans. Image Processing vol. 15, pp. 1794-1802, 2006.

Conference

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

J. Beaver, R. A. Kerekes, and J. Treadwell, “Decision-level Information Fusion to Assess Threat Likelihood in Shipped Containers,” accepted to 2009 IEEE International Conference on Technologies for Homeland Security, Waltham, MA.

R. A. Kerekes, Y. Jiao, M. Shankar, T. E. Potok, and R. Lusk, “Agent-based forward analysis,” MILCOM `08, San Diego, November 2008.

J. Barhen, R. A. Kerekes, J. L. St. Charles, and M. Buckner, “Multi-core optical processor related applications research at Oak Ridge National Laboratory,” Software Defined Radio (SDR) Forum, Washington, D.C., October 2008.

R. M. Patton, J. N. Treadwell, R. A. Kerekes, and T. E. Potok, “Discovery, analysis, and characteristics of event impacts,” Proc. 11^th International Conference on Information Fusion, Cologne, Germany, July 2008.

R. A. Kerekes and B. V. K. Vijaya Kumar, “Multiple target detection in video using quadratic multi-frame correlation filtering” (invited paper), Proc. of SPIE: Optical Pattern Recognition XIX, vol. 6977, Mar. 2008.

R. A. Kerekes, B. Narayanaswamy, J. Thornton, M. Savvides, and B.V.K. Vijaya Kumar, “Graphical model approach to iris image matching under local shifts and occlusions,” Computer Vision and Pattern Recognition (CVPR), Minneapolis, June 2007.

R. A. Kerekes, B. Narayanaswamy, M. Beattie, B. V. K. Vijaya Kumar, and M. Savvides, “Efficient multi-frame correlation filtering for video sequences,” Proc. of SPIE: Optical Pattern Recognition XVII, vol. 6245, 2006.

R. A. Kerekes, M. Savvides, B. V. K. Vijaya Kumar, and S. R. F. Sims, “Fractional power scale-tolerant correlation filters for enhanced automatic target recognition (ATR) performance,” Proc. of SPIE: Automatic Target Recognition XV, vol. 5807, 2005.

M. Savvides, J. Heo, J. Thornton, P. Hennings, C. Xie, K. Venkataramani, R. A. Kerekes, M. Beattie and B.V.K. Vijaya Kumar, "Biometric Identification using Advanced Correlation Filter Methods", Springer Verlag Lecture Notes in Computer Science: “Ambient Intelligence”, 2005.

R. A. Kerekes, B. V. K. Vijaya Kumar, and S. R. F. Sims, “Estimating performance limits for automatic target recognition in compressed video,” Proc. of SPIE: Automatic Target Recognition XV, vol. 5807, 2005.

R. A. Kerekes, S. S. Gleason, J. S. Goddard, M. J. Paulus, A. G. Weisenberger, M. F. Smith, and B. Welch, “Two methods for tracking small animals in SPECT imaging,” Proc. of SPIE: 6^th International Conference on Quality Control by Artificial Vision, May 2003.