Wroclaw University of Science and Technology
Department of Information Systems
Wroclaw University of Science and Technology (WUST) is a public institution founded in 1945, but its academic legacy dates back to the Lviv University when King John II Casimir of Poland in 1661 issued the diploma granting the city's Jesuit Collegium. Now WUST belongs to the best universities in Poland – over 32 000 students study here under the guidance of around 2 000 academic teachers, at 16 faculties. Recently, the position in the research and teaching field places WUST among the best four universities in Poland. For example, the University is ranked first in the category of innovation, which takes into account inter alia the number of patents. The degrees awarded by WUST, e.g. the HR Excellence in Research logo, are a symbol of high quality of research and education, confirmed by the European Commission, National Accreditation Committee and the Accreditation Committee of Universities of Technology.
The Department of Information Systems (DIS) is the part of the Faculty of Computer Science and Management and consists of 18 computer science scientists excluding Ph.D. students. Our main objective is to carry out basic and applied research in the field of Information Systems, Knowledge Management, Collective Intelligence, Multi-agent Systems, Computational Intelligence, Machine Learning, Semantic Information Retrieval, Multimedia Information Processing, System Performance Analysis and Improvement, and E-Learning Methodologies. We regularly chair and co-organize three international scientific conferences: Asian Conference on Intelligent Information and Database Systems, International Conference on Computational Collective Intelligence, and International Conference on Multimedia and Network Information Systems.
Wroclaw University of Science and Technology is ERCIS member since 2017.
Computational collective intelligence; Knowledge management systems; Agents and multi-agent systems; Recommendation and personalization in Web systems; Ensemble and hybrid models of computational intelligence; Semantic Information Retrieval; Multimedia Information Processing; System Performance Analysis and Improvement; E-Learning Methodologies