
     Rutgers University, Psychology	
     Smith Hall, 101 Warren St.		
     Newark, NJ  07102		

	Tel: (973) 353-5440, x263
	Fax: (973) 353-1171
	email: yoh at psychology.rutgers.edu
	website: www.onerussian.com

Papers

Research

To combine theoretical knowledge (mathematics, physics, numeric methods, etc) and computer programming skills to produce useful ideas and results.

Education

Ph.D. candidate Computer Science Dept, NJIT (current)
M.S. UNM, USA, 2003 (Computer Science)
M.S. Vinnytsia, Ukraine, 1999 (Laser and Optoelectronic Engineering)

More detailed resume can be obtained from Personal Resume.

Publications

Articles in journal or book chapters

Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Stephen José Hanson, James V. Haxby, and Stefan Pollmann. PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. In review, 2008. [Abstract] [bibtex-entry]

S. J. Hanson and Y. O. Halchenko. Brain reading using full brain Support Vector Machines for object recognition: There is no face identification area. Neural Computation, 20(2):486-503, February 2008. [bibtex-entry]

S. J. Hanson, C. Hanson, Y. O. Halchenko, T. Matsuka, and A. Zaimi. Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action.. Brain Struct Funct, 212(3-4):231-44, 2007. Keyword(s): Attention/physiology, Brain/blood supply/*physiology, *Brain Mapping, Comprehension/*physiology, Humans, Image Processing, Computer-Assisted/methods, Magnetic Resonance Imaging, Models, Neurological, Oxygen/blood, Pattern Recognition, Visual/*physiology, Photic Stimulation/methods, Psychomotor Performance/physiology, Time Factors, *Vision. [Abstract] [bibtex-entry]

S. J. Hanson, D. Rebbechi, C. Hanson, and Y. O. Halchenko. Dense mode clustering in brain maps.. Magn Reson Imaging, 25(9):1249-62, 2007. [Abstract] [bibtex-entry]

Yaroslav O. Halchenko, Stephen José Hanson, and Barak A. Pearlmutter. Multimodal Integration: fMRI, MRI, EEG, and MEG. In Luigi Landini, Vincenzo Positano, and Maria Filomena Santarelli, editors, Advanced Image Processing in Magnetic Resonance Imaging, Signal Processing and Communications, chapter 8, pages 223-265. Dekker, . Keyword(s): EEG, MEG, fMRI, MRI, multimodal analysis, fusion. [Abstract] [bibtex-entry]

Y. O. Halchenko, B. A. Pearlmutter, S. J. Hanson, and A. Zaimi. Fusion of functional brain imaging modalities via linear programming. Biomedizinische Technik (Biomedical Engineering), 48(2):102-104, 2004. Keyword(s): EEG, fMRI, fusion. [bibtex-entry]

L. I. Tymchenko, J. Scorukova, S. Markov, and Y. O. Halchenko. Image Segmentation on the basis of spatial connected features. In Visnyk VSTU, volume 4, pages 39-43. VSTU University Press, Vinnytsya, Ukraine, 1998. Note: In Ukrainian. [bibtex-entry]

T. B. Martinyuk, A. V. Kogemiako, and Y. O. Halchenko. The model of associative processor for numerical data sorting. In Visnyk VSTU, volume 2, pages 19-23. VSTU University Press, Vinnytsya, Ukraine, 1997. Note: In Ukrainian. [bibtex-entry]

Conference articles

Y. O. Halchenko, S. J. Hanson, and B. A. Pearlmutter. Fusion of Functional Brain Imaging Modalities using L-Norms Signal Reconstruction. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, 2004. Keyword(s): EEG, fMRI, fusion. [bibtex-entry]

S. J. Hanson, T. Matsuka, C. Hanson, D. Rebbechi, Y. O. Halchenko, A. Zaimi, and B. A. Pearlmutter. Structural Equation Modeling of Neuroimaging Data: Exhaustive Search and Markov Chain Monte Carlo. In Human Brain Mapping, 2004. Keyword(s): Modeling, MCMC. [bibtex-entry]

L. I. Timchenko, Y. F. Kutaev, A. A. Gertsiy, Y. O. Halchenko, L. V. Zahoruiko, and T. Mansur. Method for image coordinate definition on extended laser paths. In S. B. Gurevich, Z. T. Nazarchuk, and L. I. Muravsky, editors, , volume 4148, pages 19-26, 2000. SPIE. [bibtex-entry]

L. I. Timchenko, A. A. Gertsiy, L. V. Zahoruiko, Y. F. Kutaev, and Y. O. Halchenko. Pre-processing of extended laser path images. In Industrial Lasers and Inspection: Diagnostic Imaging Technologies and Industrial Applications, Munich, Germany, June 1999. EOS/SPIE International Symposium. Note: [3827-26]. [bibtex-entry]

L. I. Timchenko, Y. F. Kutaev, A. A. Gertsiy, L. V. Zahoruiko, Y. O. Halchenko, and T. Mansur. Approach to parallel-hierarchical network learning for real-time image sequence recognition. In J. W. V. Miller, S. S. Solomon, and B. G. Batchelor, editors, , volume 3836, pages 71-81, 1999. SPIE. [bibtex-entry]

L. I. Tymchenko, J. Scorukova, J. Kutaev, S. Markov, T. Martynuk, and Y. O. Halchenko. Method Spatial Connected Segmentation of Images. In The Third All-Ukrainian International Conference Ukrobraz, Kijiv, Ukraine, November 1996. Note: In Ukrainian. [bibtex-entry]

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