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.

Cem Ata Baykara (CS) completed his first internship in Big Data at Türkiye İş Bankası. During his second internship at Fibabanka, he worked in the R&D department focusing on Internet of Things (IoT) security. After completing his Bachelor's degree, he started his master's degree in Network Security in 2020. Throughout his master's studies, he worked as a researcher in a TÜBİTAK project, alongside his advisors Dr. Kübra Kalkan and Dr. Ilgın Şafak (from Fibabank). During his master's program, his research primarily focused on IoT security and Blockchain.
Currently, he is working as a doctoral research assistant at Tübingen University in Germany, focusing on privacy-preserving machine learning. He is also working as a researcher on federated machine learning in the PrivateAIM (Privacy-Preserving Analytics in Medicine) project, developed for Germany's Medical Informatics Initiative.

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.