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.

Onurhan Turfanda(CS 2020) earned his bachelor's degree in Computer Science from Özyeğin University. During his university years, he gained valuable experience as a teaching assistant under the guidance of Professor Jason Lau in the business department. This role allowed him to develop his teamwork and support skills. Simultaneously, he was an active member of the OzU Rover Team, which gave him the opportunity to delve into robotics and represent our country on the international stage by participating in the European Space Agency's Rover competition.

Following his university years, Onurhan embarked on his professional journey. He began by working on AI-based cash flow management at Yapı Kredi Technology. Later, he joined Amazon.com in Spain, contributing to EU-InTech. Currently, he is a member of the TomTom Spain team, working on the "Map of the Future" project. In this role, he is focused on creating real-time maps and revolutionizing map technologies and location-based services.

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.