Design Engineer Electrical

EDUCATION

PhD, Middle East Technical University (METU), Turkey 07/2012

Department of Electrical and Electronics Engineering

Signal Processing, CGPA: 3.91/4.00

MSc, Middle East Technical University (METU), Turkey 08/2007

Department of Electrical and Electronics Engineering

Signal Processing, CGPA: 3.93/4.00

BS, Middle East Technical University (METU), Turkey 06/2005

Major: Department of Electrical and Electronics Engineering

Minor: Department of Mathematics

SKILLS

Field of Interest: Computer vision, 2D/3D image and video processing, biomedical imaging, pattern recognition, display technologies.

Computing Languages: MATLAB, C, C++, CUDA GPU programming.

Languages: English - fluent

Spanish - intermediate

WORK EXPERIENCE06/2008 - current

As a design engineer at, a company of Turkish Militray Forces on militray electronics

05/2008 - 06/2012

As a design engineer and research fellow in which is a Research and Development company providing solutions for consumer electronics.

1. Designed real-time stereo disparity estimation algorithm for 3D TVs, implemented in CUDA and supported FPGA implementation

2. Designed color calibration algorithm in stereo videos for 3D TVs implemented in CUDA and supported FPGA implementation

3. Designed local contrast enhancement tool for LCD TVs implemented in CUDA and supported FPGA implementation

4. Designed algorithms for:Depth compensated noise reduction Depth data up-sampling and disparity range detection in stereo video Local dimming for LED displays Saliency (attention) map extraction Efficient On Screen Display (OSD) placement in stereo video Virtual view rendering in stereo/multi-view video 3D Frame Rate Up Conversion

06/2005 - 05/2008

As a researcher in Multimedia Research Group at METU/EEE Department in 3DTV Network of Excellence European 6th Frame Project

1. Stereo and multi-view depth extraction by dynamic programming.

2. Image Segmentation algorithm by region-based graph-cuts.

3. Watermark extraction from light field rendered images.

4. Segment-based stereo and multi-view dense depth map estimation.

5. Video object segmentation from multi-view data.

Cevahir Cigla

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