is an Assistant Professor at the Computational Intelligence Laboratory (CILab) of the Department of Informatics, University of Bari, working on machine learning techniques applied to the Web Economy domain. Her research activity is focused on Computational Intelligence with a particular interest in data analysis. Three are the main themes she is currently working on Intelligent Data Analysis, Computational Intelligence for eHealth, and data stream mining. She is active in the computer science community as a reviewer for international journals and conferences such as Information Sciences, and the International Journal of Intelligent Systems. She is also involved in the organizing committees of international conferences such as the IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). She is Associate Editor of IEEE Transactions of Computational Social Systems, Soft Computing, and Journal of Intelligent and Fuzzy Systems and she is Guest Editor of several special issues. She was awarded the best paper at the FUZZY-IEEE 2022, and the IJCCI 2023 conferences. She is a Senior member of IEEE Society.  [Homepage]

has a doctorate in Technical Sciences from Johannes Kepler University Linz – JKU- Austria. Master in Electrical Engineering from the Federal University of Minas Gerais (2015)- Brazil. Graduated in Information Systems from Centro Universitário UNA (2009) with and Specialization in Informatics – Emphasis in Software Engineering from Universidade Federal de Minas Gerais (UFMG). He is a researcher at the Fondazione Bruno Kessler acting with artificial intelligence in the health area. He was an Information Technology-Development Analyst at the Federal Center for Technological Education of Minas Gerais – CEFET-MG. Author of more than 40 conference papers and high-impact journals on artificial intelligence and fuzzy systems. He worked as a professor of undergraduate courses at the UNA Faculty of Betim in Brazil. His main research interest is focused on intelligent hybrid models, mainly evolving Fuzzy neural networks. Data mining and pattern classification problems are also of interest. [Homepage]

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. 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 (International conference on Time Series and Forecasting, International Conference on Soft Methods in Probability and Statistics, etc.). Katarzyna is also the President of the Information Technologies for Psychiatry Foundation and the coordinator of the eHealth section of Polish Information Processing Society. [Homepage]

is a researcher in the Department of Computer Science, Data Science (DICE) Group, Paderborn University, Germany (as of Nov. 2023). For 11 years he was a professor and researcher at the UFLA and UFMG, Brazil; and UAI, Chile, in the areas of dynamical systems, fuzzy systems, neural networks, data mining, and control theory. He earned his Ph.D. (2012) from the State University of Campinas, UNICAMP, São Paulo; and was a postdoctoral fellow in the University of Ljubljana, UL, Slovenia (2019), and Federal University of Minas Gerais, UFMG, Brazil (2014). Daniel received the North American Fuzzy Information Processing Society NAFIPS Early Career Award (2017); and Ph.D. Thesis awards from the IEEE Computational Intelligence Society (2017), NAFIPS (2015), and Brazilian Computer Society (2014). He contributes as an Associate Editor of the Evolving Systems journal. His interests are in human-centered AI, machine learning, granular computing, neural networks and control systems. [Homepage]

is an assistant professor (non-tenure track) at the University of Bari Aldo Moro and is a member of the Computational Intelligence Laboratory. He is working on "Understandability of AI systems" within the NRRP project "FAIR - Future Artificial Intelligence Research," Spoke 6 - Symbiotic AI. He is the project coordinator for the research project titled "Computational Models based on Fuzzy Logic for eXplainable Artificial Intelligence," which is funded for one year under the "Research Projects GNCS 2023" grant. He is a Guest Co-Editor of the Special Issue "Computational Intelligence in Healthcare" in Bioengineering (MDPI) and an Associate Editor for the Journal of Intelligent & Fuzzy Systems (IOS Press). He is a reviewer for several international journals published by leading publishers, including Elsevier and Springer. [Homepage]