International Summer School 2019 on
"Deep Learning and Data Science" August 26-30, 2019, Chvalovice u Znojma, Czech Republic

Václav Snášel is a Professor and the Rector of the VSB-Technical University of Ostrava and the former dean of the Faculty of Electrical Engineering and Computer Science. He served as a head of the research program at the IT4Innovations (National Supercomputing Center) between 2011 and 2017. His research and development experience include over 30 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multi-dimensional data indexing, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applied to various real-world problems.

Torsten Möller is a professor of computer science at the University of Vienna, Austria, since 2013. Between 1999 and 2012 he served as a Computing Science faculty member at Simon Fraser University, Canada. He received his PhD in Computer and Information Science from Ohio State University in 1999 and a Vordiplom (BSc) in mathematical computer science from Humboldt University of Berlin, Germany. He is a senior member of IEEE and ACM, and a member of Eurographics. His research interests include algorithms and tools for analyzing and displaying data with principles rooted in computer graphics, human-computer interaction, image processing, data science, and visualization.

Pavel Krömer graduated in Computer Science at the Faculty of Electrical Engineering and Computer Science (FEECS) of VŠB-Technical University of Ostrava. He worked as an analyst, developer, and trainer in a private company between 2005 and 2010. Since 2010, he has worked at the Department of Computer Science, FEECS of VŠB-Technical University of Ostrava. In 2014, he was a Postdoctoral Fellow at the University of Alberta. He was Researcher at the IT4Innovations (National Supercomputing Center) between 2011 and 2016. Since 2018, he is a Senior Member of the IEEE. In his research, he focuses on computational intelligence, information retrieval, data mining, machine learning, soft computing and real-world applications of intelligent methods.

Raphael Sahann is a researcher and PhD candidate in the Visualization and Data Analysis research group at the University of Vienna. He started his PhD in 2017 after receiving his Masters degree in Business Informatics. His research revolves around making big data accessible to multiple stakeholders with different viewpoints. He is currently working with data from students and exams of the University of Vienna.

Jan Platoš is an Associate Professor and the Head of the Department of Computer Science, FEECS, VSB-Technical University of Ostrava. His primary research area is Data analysis and machine learning. His past research projects includes Quality prediction in steel-mill factories, price-matching modules for energy markets and analysis of cell phones logs for public transport occupation modelling. He is also active in bio-inspired algorithms, data compression, signal analysis, artificial intelligence and its application to manufacturing and energy industry.

Christoph Kralj is a researcher and PhD candidate in the Visualization and Data Analysis research group at the University of Vienna. He received his Masters degree in Computational Science in 2016 from the University of Vienna. His research interests are centered around methods to bridge the gap between humans and machines through the use of visualization. He specifically focuses on text data and the challenges of natural language processing.

Sebastián Basterrech obtained his Ph.D. degree in Computer Sciences in November, 2012 from the University of Rennes 1, Bretagne, France. During 2009-2012 he was a doctoral student fellow of INRIA, France. During two years he has been working as a postdoctoral researcher at the National Supercomputing Center of Czech Republic. During 2016, he was a member of the Computer Department at Faculty of Electrical Engineering and Computer Science in Technical University of Ostrava. In 2017 and 2018, he was with the Department of Computer Science, Czech Technical University Prague. Since January 2019, he is again affiliated with FEECS working on a project establishing the Czech national Competence Center on Cybernetics and Artificial Intelligence. S. Basterrech is a member of the IEEE SMC Technical Committee on Soft Computing and member of the Neural Network Society. He has published numerous contributions in areas related to quasi-Newton optimization, Random Neural Networks, Reservoir Computing, Neural Computation and Soft Computing.

Sebastian Ratzenböck is a researcher and PhD student at the research platform Data Science at the University of Vienna. He received his Masters degree in 2018 in technical physics at the Technical University of Vienna. In his research Sebastian is applying data science tools in order to answer questions in astronomy. Currently he focuses on designing robust search strategies for open clusters, the building blocks of our milky way.