3 BS Alumni

Farzad completed his doctoral studies in Industrial Engineering at Özyeğin University, where he achieved academic success and actively participated in various research projects. His research thesis focused on optimization under uncertainty and was accompanied by simultaneous involvement in multiple research endeavors. He successfully defended his thesis in February 2023 and was distinguished as the outstanding researcher at the engineering faculty of Özyeğin University during the final year of his Ph.D. studies. He also collaborated with scholars from Binghamton University to solve the electric bus scheduling challenge of the university's shuttle network. Additionally, Farzad served as a teaching assistant for various courses, particularly for heuristic algorithms for optimization courses.

Currently, Farzad continues his post-doctoral studies at HEC Montréal, where he concentrates on tackling inventory routing and distribution problems for Hydro Quebec, Canada's largest power utility and a significant global hydropower provider. Simultaneously, he remains committed to advancing projects in transportation optimization and optimization under uncertainty, particularly emphasizing public transportation. Farzad actively engages as a member of esteemed research institutes in the logistics field, including Cirrelt and GERAD.

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.

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.