3 BS Alumni

Osman Furkan Kınlı (CS 2018),obtained his master's degree in Computer Science the following year. Within the scope of his master's thesis, he worked on similar image retrieval using Capsule Networks. He is currently continuing his doctoral thesis work. His research areas cover image processing, computer vision, image manipulation and restoration, illuminance and colors, and computational photography. He has achieved awards in international competitions related to night photography rendering in consecutive years. He has received the best reproducibility report and the best reviewer awards in international challenges on the reproducibility of academic research in Computer Science. In addition to his doctoral studies, he has also worked as a teaching assistant in undergraduate courses and as a research assistant in different research projects for his department. Furthermore, as venturing into the entrepreneurial journey in early 2020, he founded a Canadian-based company called T-Fashion, which provides services in AI-driven fashion trend analysis and generative fashion design.

Doğa Yılmaz (CS), earned his B.Sc. degree in Computer Science, and subsequently, he secured admission to the M.Sc. in Artificial Intelligence program along with a prestigious Fellowship at Özyeğin University. During his M.Sc., Doğa worked as a research assistant specializing in "Inverse Rendering" at OzU's Vision and Graphics Lab. His academic achievements include notable publications in international journals and conferences. Additionally, Doğa actively contributes to the academic community as a valued reviewer for various academic journals and conferences.

Following his graduation, Doğa continued his journey at Fishency Innovation as an R&D Software Engineer in Norway. Here, he contributes to innovative projects focused on underwater 3D reconstruction of Atlantic salmon, with the ultimate goal of enhancing offshore salmon farming efficiency. Doğa is at the forefront of developing technologies that promise a more sustainable and environmentally friendly future for food production.

Ekrem Çetinkaya (CS), graduated with a bachelor's degree in computer science from Özyeğin University in 2018 and completed a master's program with a thesis under the supervision of Dr. Furkan Kıraç in 2019. Between 2019 and 2023, he completed his doctoral studies on Video Encoding with Machine Learning at the University of Klagenfurt. During this period, he worked as a research assistant on the ATHENA project, which was conducted in partnership with Bitmovin. Throughout his 4-year research career, he published over 15 papers in prestigious conferences and journals and filed for 3 patents, one of which has been issued. In 2021, the article he wrote was awarded the "Best New Streaming Innovation of the Year” award. He is currently continuing his academic work in video coding and multimedia fields with Assoc. Prof. Ali C. Beğen.