Bilkent University Computer Engineering Department
Prof. Özcan Öztürk’s collaboration with Huawei received TÜBİTAK 1505 funding. The project titled “Using Machine Learning Methods to Select GCC Compiler Flags To Optimize Runtime will be funded during 2022-2024.
Asst. Prof. Eray Tüzün of the Department of Computer Engineering was elected to be a member of The International Software Engineering Research Network (ISERN). The board has currently 56 members from around the world, with Dr. Tüzün being the only one from Turkey.
The International Software Engineering Research Network (ISERN) is a global community of several research groups who are active in experimental software engineering. Its purpose is to advance the practice of and foster university and industry collaborations within experimental software engineering. ISERN holds annual meetings in conjunction with the International Symposium on Empirical Software Engineering and Measurement (ESEM).
Dr. Öğüz received his B.S. and M.S. degrees from Koç University in 2007 and 2010, respectively. After spending two years as a graduate student in the Computer Science Department at the University of British Columbia, he received his Ph.D. degree from the Electrical and Computer Engineering Department at TU Munich in 2018. His Ph.D. thesis was on motion planning in close-proximity human-robot interaction. Before joining Bilkent, he was a Post-doctoral Researcher at the University of Stuttgart and Max Planck Institute for Intelligent Systems.
Dr. Öğüz’s current research focuses on learning and decision theory with applications in robotics. His recent contributions are on human-robot interaction, robust task and motion planning, learning and perception for sequential manipulation tasks, and reinforcement learning for robot control.
Dr. Shervin Rahimzadeh Arashloo’s project titled “Deepfake detection using deep one-class and open-set recognition” has got accepted for funding by the TÜBİTAK 1001 program.
Dr. Eray Tüzün received a grant from the TÜBİTAK 3501 program for the project titled “Analyzing Software Projects using Artifact Traceability Graphs”.