Justin C. Domke Contact A.V. Williams 4470 Office: (301) 405-1762 Information Computer Science Department Cell: (301) 377-4120 University of Maryland Fax: (301) 314-9115 College Park, MD 20783 USA E-mail: domke@cs.umd.edu WWW: www.cs.umd.edu/users/domke/ Research Statistical Learning and Inference, Probabilistic Graphical Models, Interests Imaging, Signal Processing Education University of Maryland, College Park, Maryland USA Ph.D., Computer Science, May 2009 (Expected) - Thesis Topic: Tractable Learning and Inference in High Treewidth Graphical Models - Advisor: Yiannis Aloimonos M.S., Computer Science, December 2005 Washington University, Saint Louis, Missouri USA B.S., Physics, May, 2002 B.S., Computer Science, May 2002 Other Research Johns Hopkins Medical School, Baltimore, Maryland USA 2002-2003 Experience Researcher in the Anesthesiology Department. Computational modeling of neural systems. Modified physics of models to incorporate anesthetic effects. These models of single neurons and neuronal networks were implemented and used to gain insight into how anesthetic effects at the biological level lead to observed effects at the systems level. University of California, Irvine, California USA Summer 2001 Undergraduate researcher in Physics department regarding the IceCube Neutrino Detector. This detector is taking a period of years to build. Using Monte Carlo simulations, determined placement of sections of the detector to maximize performance during construction. Teaching University of Maryland, College Park, Maryland USA 2003 - 2004 Experience Lecturing teaching assistant for introductory programming and discrete math courses. Washington University, Saint Louis, Missouri USA 2001 - 2002 Teaching assistant for Advanced Algorithms and machine learning courses. Book Chapters [1] Justin Domke. Computational Complexity. Mathematics, It’s Not Just Calculus, A. K. Peters. To Appear. An informal introduction to computational universality, the halting problem, P vs. NP, etc., written at the level of a college freshman math major. www.cs.umd.edu/~domke/compcomp.pdf Journal [2] Justin Domke and Yiannis Aloimonos. Image Transformations Publications and Blurring. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009. To Appear. [3] Justin Domke and Yiannis Aloimonos. A Probabilistic Notion of Camera Geometry: Calibrated vs. Uncalibrated. Journal of Photogrammetrie, Fernerkundung and Geoinformation, volume 1, pages 25-33, 2007 Peer-Reviewed [4] Justin Domke. Learning Convex Inference of Marginals. Conference Uncertainty in Artificial Intelligence, 2008. Publications [5] Justin Domke, Alap Karapurkar and Yiannis Aloimonos. Who Killed The Directed Model? IEEE Conference on Computer Vision and Pattern Recognition, 2008. [6] Justin Domke and Yiannis Aloimonos. Signals on Pencils of Lines. IEEE International Conference on Computer Vision, 2007. [7] Justin Domke and Yiannis Aloimonos. Multiple View Image Reconstruction: A Harmonic Approach. IEEE Conference on Computer Vision and Pattern Recognition, 2007. [8] Justin Domke and Yiannis Aloimonos. A Probabilistic Notion of Camera Geometry: Calibrated vs. Uncalibrated. Photogrammetric Computer Vision, 2006. [9] Justin Domke and Yiannis Aloimonos. Deformation and Viewpoint Invariant Color Histograms. British Machine Vision Conference, 2006. [10] Justin Domke and Yiannis Aloimonos. A Probabilistic Notion of Correspondence and the Epipolar Constraint. International Symposium on 3D Data Processing Visualization and Transmission, 2006. [11] Justin Domke and Yiannis Aloimonos. Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach. International Conference on Robotics and Automation, 2006. [12] Justin Domke and Yiannis Aloimonos. A Probabilistic Framework for Correspondence and Egomotion. ICCV 2005 Workshop on Dynamic Vision, published as Springer Lecture Notes on Computer Science, volume 4358, pages 232-242, 2007. Under Review [13] Crossover Random Fields. Submitted to Journal of Machine Learning Research, Oct, 2008. Awards and Dean’s Fellowship Award, Department of Computer Science Honors University of Maryland (2007-2008) Outstanding Paper Award, Photogrammetric Computer Vision Conference (2006) Graduate Fellowship Award, University of Maryland (2003-2005) Distinction (cum laude) B.S., Physics, Washington University (2002) Distinction (cum laude) B.S., Computer Science, Washington University (2002) Bright Flight Missouri Scholarship (1998-2002) Patents Object detection apparatus, object detection method and object detection program U.S. patent application 20,080,278,576. Morimichi Nishigaki, Yiannis Aloimonos, and Justin Domke, 2008. References Yiannis Aloimonos Daniel DeMenthon Department of Computer Science Applied Physics Laboratory University of Maryland Johns Hopkins University Cornelia Fermuller Abhijit Ogale Center for Automation Research Senior Engineer, Google Inc. University of Maryland (email addresses available upon request)