Priv.-Doz. Dr. Dominik Kowald is research area manager of the FAIR AI team at the Know-Center, one of Europe's leading research centers for trustworthy AI, and at the Institute of Interactive Systems and Data Science of Graz University of Technology (ISDS group site). He has a Habilitation (Priv.-Doz.) in Applied Computer Science, as well as a PhD. (with hons), MSc. (with hons) and BSc. in Computer Science from Graz University of Technology. He has finished his PhD in October 2017 on cognitive-inspired recommender systems based on the cognitive architecture ACT-R. Additionally, in June 2024, he has finished his Habilitation (post-doctoral thesis) on the topic of transparency, privacy, and fairness aspects of recommender systems. Currently, he is working as key researcher in the DDIA COMET module, and in several other applied research projects (see full CV for details). He is review and research topic editor of Frontiers in Big Data - Recommender Systems section, and his research interests are in the fields of trustworthy AI, recommender systems, privacy, fairness and biases in algorithms, Web science, and computational social systems. His research on fairness in AI and bias in recommender systems was awarded with the Mind-the-gap gender and diversity award of Graz University of Technology in 2022, and was presented in several news outlets, e.g., by APA science. Full CV: ( .pdf) Team lead certificate: ( .pdf) Lectures: ( content) ( videos) Teaching certificates: ( advanced) ( basic) Open theses: ( link)
Please also have a look at my GoogleScholar, ORCID (0000-0003-3230-6234), ResearchGate, Scopus, and DBLP profiles.
dkowald [AT] know [MINUS] center [DOT] at / dominik.kowald [AT] gmail [DOT] com
+43 (316) 873-30846
Dominik Kowald, Know-Center GmbH, Sandgasse 36/4, 8010 Graz, Austria