Coşku Can Horuz
Ratzeburger Allee 160
23562 Lübeck, Germany
Room 89
Contact:
Phone: +49 451 3101 5213
Fax: +49 451 3101 5204
Bio
Coşku Can Horuz completed his Bachelor’s degree in psychology at the University of Istanbul. Afterwards, Coşku worked at a private clinic for three years, working with pre- and elementary school children as a psychological counselor using the PASS theory. He continued his academic journey in the Cognitive Science study program at the University of Tübingen in order to understand the brain deeper. There, he was caught in algorithms’ charm and changed his direction towards computer science & artificial intelligence. Since October 2023 he is a PhD student at the Institute for Robotics and Cognitive Systems at the University of Lübeck, Germany, and a member of the Adaptive AI research group.
His research interests almost always include a time dimension. More concretely, he is studying about machine learning models that are recurrent in their essence such as recurrent neural networks and state space models.
Publications
Horuz, C. C., Karlbauer, M., Praditia, T., Butz, M. V., Oladyshkin, S., Nowak, W., and Otte, S. (2022). Inferring boundary conditions in finite volume neural networks. In International Conference on Artificial Neural Networks (ICANN), pages 538–549. Springer Nature Switzerland.
Horuz, C. C., Karlbauer, M., Praditia, T., Butz, M. V., Oladyshkin, S., Nowak, W., and Otte, S. (2023). Physical domain reconstruction with finite volume neural networks. Applied Artificial Intelligence, 37(1), 2204261.