doc. Ing. RNDr. Barbora Bühnová, Ph.D.
Vice-Dean for External Relations and Cooperation with Partners
We will continue to adapt and adapt the programme. Partial changes to the programme are subject to change.
Come to the pre-conference to learn about the collaboration between the Faculty of Informatics of MU, companies and students and what this collaboration brings.
Vice Dean for Study Programmes and Internationalisation
Professor FI MU
CEO, Lexical Computing
As a software engineer in natural language processing (NLP), he focuses on efficient processing of large text databases (corpora) and analysis of morphologically rich languages. Since 2008, he has been involved in the development of the corpus manager Sketch Engine. This product is the flagship product of the Czech-British company Lexical Computing, which he has led as CEO since 2015. He is also a researcher in the NLP lab at the Faculty of Computer Science at MU, where he is working on morphosyntactic analysis and its practical application.
Chief Technology Strategist and Product Owner, AIVA (Robotics and AI), Y Soft
Graduate of the Faculty of Computer Science at MU. He has been studying, working and teaching at Masaryk University since 1999/2000/2001. He has been working at Y Soft since 2007, where until 2017 he managed the R&D division and worked on the development and implementation of solutions for Y Soft's largest corporate customers. From 2018-2022, he built the company's US office, which doubled its sales under his leadership. Since 2023, he has led the development of the AIVA system for automated application testing using computer vision and machine learning. He is co-inventor of several patents in the areas of robotic testing, distributed "edge computing" systems and 3D printing. Since 2022, he has been the Vice President of the American Chamber of Commerce in the Czech Republic, focusing on digital technologies, innovation and R&D. He was a founding member of the FI MU Industrial Partners Association. He is a member of the Y Soft Ventures team, the mentoring team of the StartupYard accelerator and the Industrial Council of the Brno University of Technology. He is a laureate of the Silver Medal of Masaryk University. Currently, he teaches the PV260 Software Quality course at FI MU and supervises bachelor and master theses in the field of applied AI, embedded systems and automated testing. He and his colleagues are preparing a completely new exercise concept for PV260, which he does not want to reveal yet.
Senior Manager, Quality Engineering, Red Hat Czech
Matúš has been working at Red Hat for more than 10 years, after graduating from FI MU he joined Red Hat as an intern and then moved to a full-time engineering position. At some point in his career he decided to take a managerial path and currently works as a Senior Manager in Quality Engineering, where he and his teams oversee the quality of various products in the Red Hat portfolio. He enjoys helping people, giving them the opportunity to do their best and developing his communication skills. He enjoys spending his free time with his family.
Senior Staff Software Engineer, Google DeepMind
Jiří Šimša studied at FI from 2001 to 2006 and during this period he obtained his Bachelor's and Master's degrees and during his studies he also worked under the supervision of Prof. Luboš Brim and Prof. Ivana Černá in the Parallel Distributed Systems Laboratory (ParaDiSe). Thanks to his academic and research achievements during his studies at FI, he was awarded a Fulbright scholarship for PhD studies in the USA in 2007 and was accepted to study at Carnegie Mellon University. There, from 2007 to 2013, he conducted research on formal methods and distributed systems under the supervision of Prof. Randy Bryant and Prof. Garth Gibson. During his studies, he completed internships at Microsoft and Google, and after earning his Ph.D., he started working for Google in Silicon Valley. With the exception of a two-year period working for a startup, he has spent the past decade at Google, where he has been building software infrastructure for machine learning and artificial intelligence since 2017.
You must register for the event using the following form; on-site registration may not be possible for capacity reasons. Registration is tied to the email address used to collect the form; if you have an active relationship with MU, we recommend using your faculty or university email address.
Registration formResponsible contact: propagacecaG-Fe67i@fiyFn*v0%yN.muni2G9QHHUKk.cz
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