Vladimir Tarasov

Associate Professor Computer Science
Department of Computing , School of Engineering
Ph.D. in Science

Research

Knowledge representation and semantic technologies have been among Vladimir Tarasov's main research interests during the last years. Knowledge representation based on the use of semantic technologies such as ontologies, knowledge graphs, and logic reasoning can be utilized for solving different tasks in real-life applications.

He has applied his research in a number of domains such as software testing, materials engineering, competence management and healthcare. His recent research activities include ontology-based generation of software test cases, modelling of mechanical properties of cast components with the help of a fuzzy logic system, reshoring decision-making supported by fuzzy ontology, and hybrid reasoning in knowledge graphs. 

He has been a member of the Examination Committees for doctoral thesis defence and a supervisor for Ph.D. students. He has also served as a reviewer for journals such as Journal of Industrial Information Integration, Business & Information Systems Engineering, Complex Systems Informatics and Modeling Quarterly (CSIMQ), and international conferences such as International Conference on Knowledge Engineering and Knowledge Management (EKAW), the European Semantic Web Conference (ESWC).

Biography

Vladimir Tarasov joined the School of Engineering, Jönköping University in 2004. He is Associate Professor of Computer Science at the Department of Computing and also a member of Jönköping AI Lab. He received M.Sc. in Mathematics from Petrozavodsk State University (1990). In 1991-1993 he did Ph.D. studies in St. Petersburg Institute for Informatics and Automation, RAS. He received a Ph.D. in Computer Science from Petrozavodsk State University (1996). He holds a title of associate professor (docent) of Computer Science since 2013.

His teaching interests are in computer science, artificial intelligence, and software engineering. He has been a manager of several educational programmes during his work at the School of Engineering. His research focuses on applied semantic technologies, particularly knowledge representation techniques in real-life applications. He has participated in several national and international research projects.