About me

I am a final-year Ph.D. student at Koc University and an AI research fellow at. KUIS AI Lab> My research interests lie in image processing and computer vision, with a focus on deep learning techniques. Specifically, I specialize in image super-resolution, leveraging generative models to enhance image quality and detail. I am fortunate to work alongside esteemed advisors, Prof. A. Murat Tekalp and Dr. Zafer Dogan., whose guidance has been invaluable throughout my academic journey.

Prior to my Ph.D., I completed both my bachelor's and master's degrees in Electrical and Electronics Engineering at KoƧ University. Additionally, I had the enriching experience of studying abroad at York University in Toronto, Canada, as an exchange student. Beyond academia, I am also a licensed swimmer and the backstroke is my favourite technique. I am passionate about pushing the boundaries of image processing and computer vision through innovative research and collaborative endeavors. Feel free to explore more about my work and interests on my personal page.

Recent Work

Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts

Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback

Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models

Multiple-Model Learned Image Super-Resolution Benefitting From Class-Specific Image Priors

Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution

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On the Computation of PSNR for a Set of Images or Video

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Multi-model and Multi-stage Learned Image Super-resolution

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Ntire 2019 challenge on video super-resolution: Methods and results

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