Dr. Özönder obtained his B.S. and M.S. degrees from the Middle East Technical University, Ankara, Turkey and he received his PhD in 2013 from the Physics Department at the University of Minnesota, Twin Cities. Later, he was a postdoc and lecturer at the University of Washington, Seattle between 2013-2016. He then moved to Turkey and worked as a postdoc at Koc University and Istanbul Technical University. Dr. Özönder joined faculty at Istinye University in 2019 as an associate professor at the Electrical & Electronics Engineering Department. He is also affiliated with the Nanotechnology Applications and Research Center at Istanbul Technical University (nano.itu.edu.tr) and Artificial Intelligence in Medicine Research Center at Istinye University (tyzaum.istinye.edu.tr/en). Dr. Özönder's interdisciplinary works span from quantum many-body simulations to artificial intelligence as well as from nanotechnology to surface physics and nuclear physics. In February 2020, he along with other three faculty from İstanbul Technical University received funding of ₺1,000,000 for a project on design and production of low-cost and eco-friendly solar cells from doped graphene quantum dots. In this project, Dr. Özönder uses Turkey's national supercomputing facility to make quantum many-body calculations (density functional theory). The aim of these calculations is to discover the optimal atomic configuration for the doped graphenes that would lead to the most efficient absorption spectrum. Such “in silico” studies are needed before beginning the actual production of the materials in the lab. In a related project, Dr. Özönder is using artificial intelligence methods to try to reduce the cpu-time cost of these time-consuming quantum simulations which otherwise take days or sometimes weeks even on high-performance computing clusters. On another front, he uses unsupervised machine learning techniques to determine the critical temperatures where the magnetic phase transitions happen in condensed matter systems.
Research Fields: Artificial intelligence applications in sciences and medicine, solar cells with doped graphene quantum dots , condensed matter physics, Monte Carlo simulations, nuclear physics, surface physics and surface fractals