Tell me something about yourself?
My name is Uğur Güdelek. I am from Turkey. I completed my BSc in the Department of Electrical and Electronic Engineering at Middle East Technical University and my MSc in Computer Engineering Department at TOBB University of Economics and Technology, Ankara, Turkey. Meanwhile, I was a member of the Computer Vision and Artificial Intelligence Laboratory in TOBB ETU.
Besides my education, I have two years of company experience as a computer engineer and four years of teaching experience as an assistant in TOBB ETU. My research interests include machine learning, computer vision, and time series analysis.
Why did you apply to the PLENOPTIMA project?
I found the project interesting as it addresses the currently unsolved challenges in near-eye displays. In particular, I am interested in developing novel light field displays optimized concerning the requirements and limitations of the human visual system. I believe it is an ambitious research project which will deliver the next generation state-of-the-art immersive visualization.
What kind of expectations do you have for your research project and the upcoming network training?
By taking part in designing novel immersive displays, I expect to gain knowledge in wide areas of research, including optics, signal processing, human visual system, as well as machine learning by the end of my Ph.D. Besides, combining the physical device implementation with the computational algorithms gives me a better satisfaction of fulfillment when compared to, e.g., pure algorithmic designs. I also expect the results of this project to have a significant social impact, as these technologies will eventually be a part of everyday life.
Uğur works as Early Stage Researcher at Tampere University (TAU), Finland, and his research topic is “Perceptual Modeling and Optimization of Computational Light Field Displays“.