Bio: Stefania Boffa received her bachelor's and master's degrees with laude in Mathematics from the University of Salerno, Italy. She got a PhD in Computer Science and Mathematics of Computation in 2018 at the University of Insubria, 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 also was a research fellow at the University of Salerno and a visiting researcher at the University of Buenos Aires, Argentina. She is currently a post-doctoral researcher at the University of Milano- Bicocca, Italy. Stefania's research mainly includes Rough Set Theory and Fuzzy Formal Concept Analysis. She is the co-author of more than 30
scientific articles published in international journals and proceedings of international conferences. She is a member of the editorial board of the journal Soft Computing. Moreover, she was a scientific committee member and a co-organizer of special sessions for international conferences.

Bio: James F. Peters, B.Sc. (Math), M.Sc.(Math), Ph.D. (Proof Theory), Postdoctoral Fellow, Syracuse University and Researcher in the Rome AI Laboratory, Griffiss Air Force Base, New York (1991), Asst. Prof., University of Arkansas, 1991-1994, and Researcher in the Mission Sequencing and Deep Space Telecommunications Divisions at the Jet Propulsion Laboratory/Caltech, Pasadena, California (1991-1994), Full Professor, ECE Department, University of Manitoba, 1995-present. He also serves as Professor in the Department of Mathematics at Adiyaman University, Turkey. His main research interests are signal waveforms, topology and proximity spaces in the mathematics of near sets with applications in Computer Vision.
He started working on descriptively near sets in 2002 (informally introduced in a poem entitled How Near with Z. Pawlak) and formally introduced in 2007, tolerance near sets in 2009, descriptive proximity spaces in 2011, topology and proximity spaces in 2012, computational proximity in 2016, computational geometry, topology and physics of digital images in 2017-2021. Since 2013 he has published 5 books:

Bio: Usman Qamar has over 15 years of experience in data science both in academia & industry. He has a Master's from UMIST, UK and his MPhil and PhD are from University of Manchester, UK. He is currently a Tenured Professor of Data Science at the National University of Sciences and Technology, Pakistan and director of the Knowledge and Data Science Research Centre. He has authored over 200 peer-reviewed publications and 5 books with Springer which includes 2 books on Rough Set Theory and 3 textbooks. His textbook titled "Data Science Concepts and Techniques with Applications" was awarded the top publications for the United Nations Sustainable Development Goal, SDG4: Quality Education. Whereas his textbook "Applied Text Mining", covers the concepts, theories, and implementations of text mining and natural language processing. He is the Editor-in-Chief of the journal, Informatics in Medicine Unlocked as well as Associate Editor of Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence and Applied Intelligence.

Bio: Andrzej Skowron, ECCAI (EurAI), AAIA and IRSS Fellow, Member of Academia Europaea (MAE), Member EU Academy of Sciences, Web Intelligence Academy founding Fellow (WIA), Advisory Board member of Web Intelligence Consortium, received the Ph. D. and D. Sci. (habilitation) from the University of Warsaw in Poland. In 1991 he received the Scientific Title of Professor. He is Full Professor in the Systems Research Institute, Polish Academy of Sciences. He is Emeritus Professor in Faculty of Mathematics, Computer Science and Mechanics at the University of Warsaw. Andrzej Skowron is the (co)author of more than 400 scientific publications and editor of many books, special issues of journals and volumes of conference proceedings. His areas of expertise include reasoning with incomplete information, approximate reasoning, soft computing methods and applications, rough sets, rough mereology, (interactive) granular computing, intelligent systems, (adaptive) complex systems, perception based computing, machine learning. He was the supervisor of 22 PhD Theses. In the period 1995-2009 he was the Editor- in-Chief of Fundamenta Informaticae journal. He is on Editorial Boards of many others international journals. Andrzej Skowron was the President of the International Rough Set Society (1996-2000). He has delivered numerous invited talks at international conferences including a plenary talk at the 16th IFIP World Computer Congress (Beijing, 2000), a keynote talk at the 8th Joint Conference on Information Sciences (JCIS 2005) (encompassing 12 individual conferences and workshops) (USA, 2005), an invited talk at the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006) and on Web Intelligence (WI 2006) (Hong Kong, 2006),and a plenary talk at the 2nd World Congress on Biologically Inspired Computing (Japan, 2010). He was serving as (co- )program chair or PC member of more than 200 international conferences. He was involved in numerous research and commercial projects including dialog-based search engine (Nutech), fraud detection for Bank of America (Nutech), logistic project for General Motors (Nutech), algorithmic trading (Adgam), control of UAV (Linköping University), and medical decision support (e.g., in Polish-American Pediatric Clinic in Cracow). Andrzej Skowron was on the ICI Thomson Reuters/ Clarivate Analytics lists of the most cited researchers in Computer Science (globally) in 2012, 2016, 2017. H-index=66 (Google Scholar).

Bio: Dominik Ślęzak received Ph.D. in Computer Science in 2002 from University of Warsaw in Poland. In his early academic career, he worked at Polish-Japanese Academy of Information Technology. In 2003-2006, he worked as Assistant Professor at University of Regina in Canada. He cooperated also with McMaster University and York University. In 2008, he re-joined University of Warsaw where he now holds position of Full Professor at Institute of Informatics. He is co-author of over 200 papers in the fields of Data Mining, Databases, Intelligent Systems and Rough Sets. He delivered plenary talks at over 20 conferences. In 2020, he was awarded with scientific title of Professor by President of the Republic of Poland.
Dominik actively contributes to the growth of academic community. He chaired over 20 scientific conferences in Asia, Europe and both Americas. He regularly co-organizes sessions and - using KnowledgePit platform which he co-created - Data Science Contests at IEEE Big Data and FedCSIS conferences. He is Associate Editor and Editorial Board Member for scientific journals including Information Sciences and Intelligent Information Systems. He is Vice-President of Polish Artificial Intelligence Society. He was President of International Rough Set Society and Vice- President of IEEE CS Technical Committee on Intelligent Informatics. He was one of Founding Editors of Communications in Computer and Information Science.
Dominik is also continually engaged in the industry and commercial projects. In 1999, he co-founded QED Software - Polish company at which he leads development of Artificial Intelligence and Machine Learning solutions. In 2005, he co-founded Infobright - international company at which he co-designed Analytical Database Technology based on Rough Sets and Information Granulation. In 2021, he co-founded OnstageAI - US-based company which uses Sound Processing and Uncertainty Modeling to automize Concert Video Production. He cooperates or cooperated also with several other companies including Arahub, DeepSeas, OvuFriend and Toolbox for HR. He is also co-inventor in over 20 US patents and patent applications.

Bio: Arkadiusz Wojna received the PhD from University of Warsaw in Poland. He is software development architect at DeepSeas. His interests include artificial intelligence, data mining, explainable machine learning, classification visualization, dialog-based decision systems and interactive classifiers. He was involved in various scientific and commercial projects including: Rough Set Exploration System (Warsaw University), the open source rough set and machine learning library Rseslib 3 (Warsaw University), the platform QMAK for interaction with machine learning models and visualization of classification process (Warsaw University), dialog-based search engine Excavio (Nutech), fraud detection for Bank of America (project Merix, Nutech), algorithmic trading (system InMan, Adgam), knowledge grid based data warehouse for analytics (Infobright) and approximate query engine for cybersecurity (Security On-Demand and DeepSeas). He served as PC member of several conferences on rough sets and artificial intelligence. He is co-author of five patents in United States.

Bio: Yiyu Yao is a professor of computer science with the Department of Computer Science, University of Regina, Canada. His research interests include three-way decision, granular computing, Web intelligence, rough sets, fuzzy sets, interval sets, formal concept analysis, information retrieval, machine learning, and data mining. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing. He has published over 400 papers. He was selected as a highly cited researcher by Clarivate from 2015 to 2019. He is the President of Web Intelligence Academy.
Personal homepage: http://www2.cs.uregina.ca/~yyao/