3 BS Alumni

Tuna Tuncer (CS), while a student at Özyeğin University's Computer Science department, served as a Student Ambassador at Microsoft Turkey. Under the supervision of Assistant Prof. Emre Sefer for his graduation thesis, he utilized state-of-the-art neural networks capable of predicting stock price movements and subsequently published and presented a paper at the 3rd ACM International Conference on AI in Finance. He also engaged in research to optimize software continuous integration processes with Prof. Darko Marinov from UIUC, Assistant Prof. Wing Lam from GMU, and Assistant Prof. August Shi from UT Austin, which led to a significant pull request to the apache/shardingsphere project and a paper published in ASE 2023. During his research at Özyeğin, he led the development of a diffusion-based model for video instance segmentation in Assistant Prof. Sedat Özer's lab. Upon concluding his undergraduate studies, he embarked on a Master's degree in Informatics at the Technical University of Munich in Germany, where he presently continues to advance his academic pursuits.

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.

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.