CommittEes

Gabriella Casalino is currently an Assistant Professor (Tenure Track) at the Computational Intelligence Laboratory (CILab) of the Informatics Department of the University of Bari. Her research is focused on Computational Intelligence methods for interpretable data analysis. She is actively involved in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence. Her work primarily focuses on the medical and educational domains. She holds membership in the IEEE Task Force on Explainable Fuzzy Systems, the Interdepartmental Center for Telemedicine of the University of Bari- CITEL, and the HELMeTO Task Force, which concentrates on Higher Education Learning Methodologies and Technologies Online. She is an active member of the computer science community and contributes by organizing committees of workshops and special sessions in prestigious international conferences such as ECAI and IEEE WCCI. Additionally, she is an Associate Editor for the international journals Scientific Reports, IEEE Transactions on Computational Social Systems, and Soft Computing. She is a Guest Editor for several special issues in IEEE SMC Magazine, IEEE Transactions on Computational Social Systems, and IEEE Systems Journal. She is a Senior member of the IEEE Society and has received several awards for her research, including the prestigious FUZZ-IEEE Best Paper award.

Giovanna Castellano is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, where she coordinates the Computational Intelligence Laboratory (CILab). Her research interests are in the area of Computational Intelligence and Computer Vision. She has been responsible for the local unit of several research projects and is currently the Principal Investigator of the WP 6.4 "Understandability of AI systems" in the NRRP "FAIR - Future Artificial Intelligence Research" project, Spoke 6 - Symbiotic AI. She is an Associate Editor of several international journals. She has been a Guest Editor of special issues and participated in organizing scientific events. She is a reviewer for several international journals published by leading publishers, including Elsevier, IEEE, and Springer, and a member of the program committee of several international conferences. She is a member of the IEEE Society, EUSFLAT Society, INDAM-GNCS Society, IAPR Technical Committee 19 (Computer Vision for Cultural Heritage Applications), CINI-AIIS laboratory, CINI-BIG DATA laboratory, CITEL telemedicine research center, GRIN, MIR laboratories. She is also a member of the IEEE CIS Task Force on Explainable Fuzzy Systems.

Katarzyna Kaczmarek-Majer is an Associate Professor at the Systems Research Institute of the Polish Academy of Sciences. She holds dual M.Sc. degrees in Mathematics and Computer Science from the University of Poznań and earned her Ph.D. with distinction in Computer Science in 2015 from the Systems Research Institute of the Polish Academy of Sciences in Warsaw. From 2022 to 2023, Katarzyna served as the Principal Investigator for the "Bipolar Disorder Prediction with Sensor-Based Semi-Supervised Learning" project (BIPOLAR), funded by Norway Grants. Currently, she leads the "Explainable Artificial Intelligence for Monitoring Acoustic Features Extracted from Speech" project (ExplainMe), funded by the European Regional Development Fund. Additionally, she contributes to the "Research of Excellence on Digital Technologies and Wellbeing" project at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic. Katarzyna's expertise includes computational intelligence, explainable and trustworthy AI, granular computing, and data stream analysis, with a particular focus on applications in medicine and healthcare. She has co-authored over 50 scientific publications, some of which have been recognized with prestigious awards, such as the Best Paper Award at FUZZ-IEEE 2022 in Padova, Italy, for her work titled "Confidence Path Regularization for Handling Label Uncertainty in Semi-Supervised Learning: A Use Case in Bipolar Disorder Monitoring." She serves on the scientific committees of numerous conferences and is a reviewer for several academic journals and international conferences. Katarzyna is also the President of the eHealth Section of the Polish Information Processing Society.

Raffaele Scaringi is a PhD Student at the Computational Intelligence Laboratory (CILab) of the Informatics Department of the University of Bari. He holds a Ph.D. scolarship in Computer Science and Mathematics from the University of Bari, with a dissertation on "Analysis and Enhancement of Artistic Heritage using Artificial Intelligence". His research, conducted within the framework of an Innovative Doctorate with Industrial Connotation, is co-financed by Exprivia S.p.A., focuses on the development of AI-driven methodologies for the analysis, restoration, and valorization of cultural assets. He is also working on different research projects on Explainable Artificial Intelligence and Fuzzy Models using Graph Representation Learning.  He is a reviewer for several international journals and conferences published by leading publishers, including Elsevier and Springer.

Gianluca Zaza is an assistant professor at the University of Bari Aldo Moro and is a member of the Computational Intelligence Laboratory (CILab). 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 senior member of the IEEE Society, and he is also a member of the IEEE CIS Task Force on Explainable Fuzzy Systems. He reviews several international journals published by leading publishers, including Elsevier and Springer.