Katarzyna Kaczmarek-Majer
Katarzyna Kaczmarek-Majer received her M.Sc. in mathematics and M.Sc. in computer Science from the University of Poznań, Poland. Then she got her Ph.D. with distinction in computer science in 2015 from the Systems Research Institute of the Polish Academy of Sciences. Katarzyna Kaczmarek-Majer is currently an Assistant Professor at the Systems Research Institute of the Polish Academy of Sciences and the Principal Investigator of the "BIPOLAR: Bipolar disorder prediction with sensor-based semi-supervised learning" project (http://bipolar.ibspan.waw.pl/).
Katarzyna's areas of expertise include soft computing, time series/data streams analysis and human-centered AI. She combines effectively her theoretical research with involvement in scientific projects with applications mainly in medicine and healthcare. She co-authored 40+ scientific publications. Some of them have been awarded at scientific conferences, e.g., with the Best Paper Award at FUZZ-IEEE 2022, Padova, Italy for article "Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring". She was a scientific committee member of many conferences and a reviewer of several scientific journals and international conferences. Katarzyna is also the President of the Information Technologies for Psychiatry Foundation and the vice-coordinator of the eHealth section of Polish Information Processing Society.
Stefania Boffa
Stefania Boffa received her bachelor and master degree with laude in
Mathematics from the University of Salerno, Italy. She got a Ph.D in Computer Science and Mathematics of Computation in 2018 at the University of Insubria, Varese, Italy. She worked on solving the OP RDE project as a post-doctoral researcher at the Institute for Research and Applications of Fuzzy Modeling (IRAFM), Ostrava, Czech Republic. She is currently a post-doctoral researcher at the University of Milano-Bicocca, Italy.
Stefania's research mainly focuses on Fuzzy Formal Concept Analysis and Rough Set Theory. She is co-author of more than 20 scientific articles, which are pubblished in international journal and proceedings of international conferences. She is a member of the editorial boards of the journal Soft Computing. Moreover, she was a scientific committee member of conferences and a reviewer of several scientific journals.
Vicenç Torra
Vicenç Torra is Professor on AI at Umeå University (Sweden). He is an IEEE and EurAI Fellow, and ISI elected member. He held positions at the Spanish Research Council (IIIA-CSIC), Maynooth University (Ireland), and Skövde University (Sweden). His fields of interests include privacy-preserving machine learning, and approximate reasoning (fuzzy sets and non-additive measures).
He has written several books including "Modeling decisions" (with Y. Narukawa, Springer, 2007), "Data Privacy" (Springer, 2017), "Guide to Data Privacy" (Springer, 2022). He is founder and editor of the Transactions on Data Privacy.
Zdenko Takáč
Zdenko Takac received the Graduate degree in teaching mathematics and physics from Comenius University Bratislava in 1998, and the PhD. degree in teaching mathematics with the thesis analysis of mathematical proof from Pavol Jozef Safrik University in Kosice in 2007. He is currently an Associate Professor and the Head of the Department of Mathematics, Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava.
His research interests include uncertainty modelling, fusion techniques, fuzzy sets and fuzzy logic, interval-valued fuzzy sets and type-2 fuzzy sets. He is the author or co-author of more than 40 scientific articles. He is a member of EUSFLAT board (the European Association for Fuzzy Logic and Technology).
Laura De Miguel
Laura De Miguel obtained in 2017 her PhD degree by the Universidad Publica de Navarra in the program Science and Industrial Technologies in October 2017, with her thesis entitled computing with uncertain truth degrees: a convolution-based approach under the supervision of Profs. Bustince, Induráin and De Baets. Since 2017, she has worked for Universidad Publica de Navarra, both as a researcher and as a lecturer.
She focus her research interests on developing theoretical models in the fuzzy set theory as well as an in-depth study of fusion functions (those whose aim is merging complex information represented through different mathematical tools). These functions, constantly applied in different Artificial Intelligence applications show different behaviours depending on the fulfilled mathematical properties and this is exactly her expertise area. She has published more than 22 full articles and she has presented more than 40 works in national and international conferences.
