معرفی
Berkay Anahtarcı is an Assistant Professor in the Department of Mathematical Engineering at Özyeğin University. He received his B.Sc. from Boğaziçi University in 2008, followed by his M.Sc. and Ph.D. from Sabancı University in 2011 and 2015, respectively, under the supervision of Professor Plamen Djakov.
His educational background includes:
- B.Sc. in Mathematics, Boğaziçi University, 2008
- M.Sc. in Mathematics, Sabancı University, 2011
- Ph.D. in Mathematics, Sabancı University, 2015
Dr. Anahtarcı's research spans both theoretical mathematics and applied interdisciplinary fields. His early work focused on Functional Analysis and Spectral Theory of Differential Operators, particularly spectral gaps of Dirac and Mathieu operators. More recently, his research has evolved toward Game Theory with a focus on Mean-Field Games and Machine Learning, especially Reinforcement Learning. This transition demonstrates his ability to bridge pure mathematics with cutting-edge applications in artificial intelligence.
His publication record shows a clear progression from theoretical mathematics (2012-2018) to increasingly applied work in game theory and machine learning (2020-2025). The majority of his recent publications center on learning algorithms for mean-field games, inverse reinforcement learning, and related computational frameworks.
Among his notable achievements is the Faculty Teaching and Learning Excellence Award from Özyeğin University in 2024. He is also the principal investigator for the TUBITAK 1001 research grant "Inverse Reinforcement Learning for Mean-Field Games" (2024-2027), one of Turkey's most competitive research funding programs.
Dr. Anahtarcı has been teaching courses in both Mathematics and Industrial Engineering departments at Özyeğin University and Sabancı University since 2014, demonstrating his interdisciplinary approach to education and research. His work has been published in prestigious venues including the Journal of Machine Learning Research, Dynamic Games and Applications, and IEEE Conference on Decision and Control.
