ÖZGÜR YILMAZ, Assistant Professor

Transcription

1 ÖZGÜR YILMAZ, Assistant Professor Turgut Ozal University Department of Computer Engineering Gazze cad No:7 Etlik Keçiören Ankara TURKEY EDUCATION University of Houston, Houston Texas USA PhD in Electrical & Computer Engineering Awarded December 2007 GPA:3.8/4.00 Bilkent University, Ankara Turkey Bachelor of Science, Electrical & Electronics Engineering Awarded June 2003 HONORS/ August AWARDS University of Houston GATF Fellowship Ranked 76th among 1.5 million entries in University Entrance Exam Rewarded full scholarship and stipend at Bilkent University Ranked 58th among 150K entries in Science High School Exam 1996 EXPERIENCE September Turgut Özal University, Department of Computer Engineering Assistant Professor Courses: Algorithms, Computer Vision, Machine Learning, Artificial Intelligence, Discrete Mathematics November 2011-September 2013 ASELSAN Inc., Microelectronic Guidance and Electro-Optics Senior Engineer Computer vision and image processing algorithm development November 2010-October 2011 Bilkent University, UMRAM Research Center Postdoctoral Researcher Computer and cognitive vision Magnetic Resonance Imaging, fmri, DTI March 2008-October 2010 ASELSAN Inc., Microelectronic Guidance and Electro-Optics Senior Engineer Computer vision and image processing algorithm development January 2008-July 2008

2 Middle East Technical University, Ankara, Turkey Lecturer Cognitive Science Department, Informatics Institute Course: Computational Models of Mind January University of Houston, Houston, Texas Research Assistant NIH Grant: Neural Correlates of Moving Boundary Perception DTO Grant: Video Analysis and Content Extraction August University of Houston, Houston, Texas Teaching Assistant ECE 2100 Circuit Analysis Laboratory, ECE 3441 Digital Logic Design, ECE 3457 Digital Electronics PUBLICATIONS Publications Yilmaz, O., Ozsarac, I., Gunay, O., Ozkan, H. (Under Review). Fast and Accurate Target Tracking by Binary Receptive Field Neural Networks. Computer Vision and Image Understanding. Yilmaz, O. (Under Review). Combining image and video cues for specular object detection. Turkish Journal of Electrical Engineering and Computer Sciences. Yilmaz, O (2015). Symbolic Computation using Cellular Automata based Hyperdimensional Computing. Neural Computation. Yilmaz, O (2015). Machine Learning using Cellular Automata based Feature Expansion and Reservoir Computing. Journal of Cellular Automata. Yilmaz, O., Karakus, F. (2015). Stereo and Kinect Fusion for Continuous 3D Reconstruction and Visual Odometry. Turkish Journal of Electrical Engineering and Computer Sciences. Yilmaz, O., Doerschner, K. (2014). Detection and Localization of Specular Surfaces Using Motion Cues. Machine Vision and Applications. Doerschner, K., Yilmaz, O., Kucukoglu, G., Fleming, R. (2013). Effects of 3D shape and surface reflectance on perceived rotation axis. Journal of Vision, 13(10),1-23. Yilmaz, O. (2012). Oscillatory synchronization model of attention to moving objects. Neural Networks, 29-30, Yilmaz, O., Tripathy, S.P., Ogmen, H. (2012). Misperceptions in the Trajectories of Objects Undergoing Curvilinear Motion. PLoS One, 7(5). Doerschner, K., Fleming, R., Yilmaz, O., Schrater, P., Kersten (2011). Visual Motion and Perception of Surface Material. Current Biology, 21(13), Yilmaz, O., Tripathy, S., Patel, S., Ogmen, H. (2007). Attraction of flashes to moving dots. Vision Research, 47,

3 Chung, S.T.L., Patel, S.S., Bedell H.E., Yilmaz, O. (2007). Spatial and Temporal Properties of the Illusory Motion-Induced Position Shift for Drifting Stimuli. Vision Research, 47(2), Patents O. Yilmaz, A Method for Implementing Reservoir Computing using Cellular Automata. Patent Pending. O. Yilmaz, V. Acikel, System and Method for Implementing Reservoir Computing in Magnetic Resonance Imaging Device using Elastography Techniques. Patent Pending. O. Yilmaz, H. Ozkan, System and Method for Filling-in Incomplete Data using Pseudo-Recurrent Processing. Patent Pending. O. Yilmaz, System and Method for Tracking Objects using Image Classification. Patent Pending. I. Ozsarac, O. Yilmaz, O. Gunay, FPGA Implementation of Multi-Purpose Image Processing Core. Patent Pending. H. Ozkan, O. Yilmaz, A method for correcting occluded data based on localizing anomalous parts. Patent Pending. E. Okuyan, O. Yilmaz, A System and Method for Simultaneously Optimizing Fiducial Marker and Camera Positions/Orientations. Patent Pending. O. Yilmaz, E. Yavuz, S. Sandıkcı, M. Yagcioglu, System and Method for Optimizing Tracker System. Patent Pending. PCT/IB2012/ Conference Yilmaz, O. (Under Review). Analogy Making and Logical Inference on Images using Cellular Automata based Hyperdimensional Computing. NIPS, Workshop on Cognitive Computation. Yilmaz, O. (2015). Classification of Occluded Objects using Pseudo-Recurrent Processing. ICMLA. Yilmaz, O., Karakus, F. (2013). Stereo and Kinect fusion for continuous 3D reconstruction and visual odometry. Electronics, Computer and Computation (ICECCO), 2013 International Conference on. Doerschner, K., Fleming, R., Yilmaz, O. (2013). Perceived Rotation Axis for Specular, Textured, Uniform and Silhouette Objects. ECVP Doerschner, K., Yilmaz, O (2012). A motion feature-based algorithm for the detection of specular objects in natural scenes. ECVP Yilmaz, O. Kucukoglu, G., Fleming, R., Doerschner, K. (2011). Structure-from-Motion predicts misperceived rotation axis for specular surfaces. European Conference on Visual Perception, Conference 2011.

4 Preprint and Technical Reports Doerschner, K., Fleming, R., Schrater, P., Kersten, D. Yilmaz, O. (2011). Three novel motion cues to surface reflectance. European Conference on Visual Perception, Conference Yilmaz, O., Guler, S., Ogmen, H. (2008). Inhibitory surround and grouping effects in human and computational object tracking. SPIE, Human Vision and Electronic Imaging XIII. Yilmaz, O. (2007). The mechanism of spatial localization in the Human Visual System. Human Visual System Seminar, METU, Ankara, Turkey. Yilmaz, O., Patel, S. S., Tripathy, S., & Ogmen, H. (2006). Attraction of flashes to moving dots [VSS Conference Abstract]. Journal of Vision, 6(6), 974a. Yilmaz, O., Ozsarac, I., Gunay, O., Ozkan, H. (2015). Neural Cognitively Inspired Real-Time Vision Core. Technical Report. Yilmaz, O. (2015). Connectionist-Symbolic Machine Intelligence using Cellular Automata based Reservoir- Hyperdimensional Computing. Artificial Intelligence. (arxiv: ) Yilmaz, O. (2014). Reservoir Computing using Cellular Automata. arxiv: RESEARCH INTERESTS Artificial Intelligence Recurrent Neural Networks Neuromorphic Engineering Swarm Intelligence Computer Vision Object Recognition Object Tracking 3D Reconstruction / Visual Odometry SKILLS REVIEW WORK Scientific Artificial Neural Network Theory and Applications, Statistical Machine Learning, Computer Vision/Image Processing Theory, Computational Modeling of Neural Dynamics, Psychophysical Methods, Diffusion Tensor Imaging, fmri, Biomedical Instrumentation Programming C/C++, Matlab, Mathematica Engineering Design and Test Tools Poser, 3dsMax Machine Vision and Applications

5 Turkish Journal of Electrical Engineering and Computer Sciences Behavioral and Brain Functions BMC Neuroscience Frontiers in Psychology