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--- pub:about_us:sbk [2013/01/10 12:57] – external edit 127.0.0.1
+++ pub:about_us:sbk [2024/12/16 09:34] (current) – [Szymon Bobek] sbk
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 ====== Szymon Bobek ======
-{{:pub:about_us:sbk-face.jpeg?200 |Szymon Bobek}}\\
+{{:pub:about_us:sbk-face.jpg?200 |Szymon Bobek}}\\
-**Szymon Bobek, MSc** (<szymon.bobek@agh.edu.pl>, [[http://home.agh.edu.pl/sbobek|www]]) holds a position of a
-research assistant at the AGH UST in Krakow, Poland, Department of
-Applied Computer Science.
-After graduation from the university in 2009 he has continued his
-education and research as a member of the GEIST team.
-His main reaserch interests are: machine learning and ambient intelligence.
-In his free time he likes reading, rock climbing, and programming.
+**Szymon Bobek, PhD** (<szymon.bobek@uj.edu.pl>, [[https://szymon.bobek.re/|www]]) holds a position of an assistant professor at the Jagiellonian University in Krakow, Poland, Faculty of Physics, Astronomy and Applied Computer Science He received his degree PHD at AGH UST in 2016 in the field of Computer Science (Artificial Intelligence) and science then he works as a member of GEIST research team. His work includes most recently hybrid models for explainable AI. He is author of research papers in international journals, books and conferences and reviewed research papers for a number of international journals. He participated in national and international research projects as an co-investigator and principle investigator, and also cooperated with several companies in applied projects, especially with massive big data processing using machine learning methods. He has been leading a team that developed a series of original tools in the area of eXplainable AI for the applications in industrial AI (https://github.com/sbobek). He is a co-organizer of Practical Applications of Explainable Artificial Methods special session (https://praxai.geist.re),  Semantic Datas Mining Workshop  (https://sedami.geist.re) and Tutorial and workshop on Explainable and Robust AI for Industry 4.0 & 5.0 (X-RAI) (https://xrai.geist.re).