Kierownik Projektu Flagowego
prof. dr hab. Jacek Tabor
Jacek Tabor received master's and PhD degrees in mathematics from the Jagiellonian University, Krakow, Poland, in 1997 and 2000, respectively. From 1997–1998 he was on Fulbright Scholarship with the SUNY at Buffalo. He is currently a professor at the Institute of Computer Science, Jagiellonian University
dr hab. Marek Śmieja, prof. UJ
Marek Śmieja received a master's degree in mathematics and a Ph.D. in computer science from the Jagiellonian University, Krakow, Poland, in 2009 and 2015, respectively. In 2019, he was a postdoctoral researcher at Instituto de Telecomunicações, Universidade de Lisboa, Portugal, where he works under the supervision of prof. Mario Figueiredo. In 2022, he completed his habilitation in computer science and currently works as an Assistant Professor at the Institute of Computer Science and Computational Mathematics, Jagiellonian University, Kraków. His research interests cover deep learning methods in unsupervised learning, generative models, and learning from tabular or missing data.
dr hab. Bartosz Zieliński, prof. UJ
Bartosz Zieliński is an Associate Professor at the Jagiellonian University in Kraków, Team Leader at IDEAS NCBR, and Computer Vision Expert at Ardigen. He received M.Sc. degree from Jagiellonian University in 2007, Ph.D. from the Polish Academy of Science in 2012, and Habilitation from the Wrocław University of Science and Technology in 2022, all in Computer Science. He is an ELLIS member, and he frequently serves as a reviewer in major computer science conferences and journals. His research interests include computer vision, deep learning, interpretable machine learning, and weakly supervised learning.
dr hab. Marcin Mazur
Marcin Mazur is an assistant professor at the Faculty of Mathematics and Computer Science of the Jagiellonian University in Kraków, Poland. He received his Ph.D. in mathematics from the Jagiellonian University in 2001 (and Habilitation in 2014). His present research interests are focused on machine and statistical learning methods, including (but not limited to) generative models, variational inference, and continual learning.
dr hab. Przemysław Spurek, prof. UJ
Przemysław Spurek received the master's degree in mathematics and the PhD degree in computer science from the Jagiellonian University, Krakow, Poland, in 2009 and 2014, respectively. He is currently an assistant professor with the Institute of Computer Science, Jagiellonian University. He was the co-author of a variable number of research papers published in significant journals and presented on the top ML conferences including NeurIPS, ICML, and IROS. His research interests include deep learning, especially generative models, and meta learning.