Prof. Janusz Kacprzyk  is Professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences, WIT – Warsaw School of Information Technology, and Chongqing Three Gorges University, Wanzhou, Chinqgqung, China, and Professor of Automatic Control at PIAP – Industrial Institute of Automation and Measurements. He is Honorary Foreign Professor at the Department of Mathematics, Yli Normal University, Xinjiang, China. He is Full Member of the Polish Academy of Sciences, Member of Academia Europaea, European Academy of Sciences and Arts,  Foreign Member of the: Bulgarian Academy of Sciences, Spanish Royal Academy of Economic and Financial Sciences (RACEF),  Finnish Society of Sciences and Letters, and Flemish Royal Academy of Belgium of Sciences and the Arts (KVAB). He was awarded with 4 honorary doctorates. He is  Fellow of IEEE, IET, IFSA, EurAI and SMIA.
His main research interests include the use of modern computation computational and artificial intelligence tools, notably fuzzy logic, in systems science, decision making, optimization, control, data analysis and data mining, with applications in mobile robotics, systems modeling, ICT etc.
He authored 7 books, (co)edited more than 100 volumes, (co)authored more than 600 papers, including ca. 80 in journals indexed by the WoS. His bibliographic data are: Google Scholar: citations: 28094; h-index: 74, Scopus: citations: citations: 8416; h-index: 40, ResearcherID (M-9574-2014): citations: 9014; h-index=42 and Web of Science: citations: 6696 (5517 without self-citations) h-index: 34.
He is the editor in chief of 7 book series at Springer, and of 2 journals, and is on the editorial boards of ca. 40 journals.. He is President of the Polish Operational and Systems Research Society and Past President of International Fuzzy Systems Association


Prof. Vicenc Torra

Vicenç Torra is currently a professor at Umeå University (Sweden). He is an IEEE and EurAI Fellow. He has written several books including "Modeling decisions" (with Y. Narukawa, Springer, 2007), "Data Privacy" (Springer, 2017), and "Scala: from a functional programming perspective" (Springer, 2017), and edited several books including "Data science in practice" (with A. Said, Springer, 2019) and "Non-additive measures: theory and applications" (with Y. Narukawa and M. Sugeno, Springer, 2014).

Click here for The CV

Prof. Krassimir Atanassov

Born on 23.03.1954 in Burgas, Bulgaria.

Honorary titles and awards
  -Award “Pythagoras” of the Ministry of Education, Youth and Science of Bulgaria for established researcher in the area of Technical sciences, 2013
  -Fellow of the International Fuzzy Systems Association (since 2013)
  -Adjunct Professor of Raffles KvB Institute, Sydney (since 2007)
  -Honorary Fellow of the KvB Institute of Technology, Sydney (since 2004)
  -Honorary Associate of the University of Technology, Sydney (since 1995)
Click here for the CV

Prof. Ajith Abraham, Bennett University, India
Title of the Speach:  The World of Generative AI: Challenges and Opportunities
Dr. Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with Headquarters in Seattle, USA has currently more than 1,000 scientific members from over 100 countries. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China.

Click here for the CV 

Prof. Irina Perfilieva, Ph.D., received the degrees of M.S. (1975) and Ph.D (1980) in Applied Mathematics from the Lomonosov State University in Moscow,
Russia. At present, she is full professor of Applied Mathematics in the University of Ostrava, Czech Republic. At the same time she is head of Theoretical Research Department in the Centre of Excellence IT4Innovations, University of Ostrava, Institute for Research and Applications of Fuzzy Modeling.

Click here for the CV

Prof. Ahmet Fahri Özok, Ph.D.
Title of the Speech:Mathematical Modelinf and Fuzzy Logic

Abstract. Mathematical knowledge beginning with, very simple mathematical definitions to very complex expressions is necessary for mathematical modelling. The same reality is true for Fuzzy Logic. Researchers all over the world have to understand to some degree the fundamental concepts of advanced mathematics. Infinity, continuity, limit, theory of functions, symbolic logic, number theory, linear algebra, probability theory, and topology are some of these fundamental concepts. If any researcher without a sound mathematical background, applies only the Fuzzy Logic formulas, it will be very superficial. We have to keep in mind that to understand the mathematical philosophy of Fuzzy Logic, we must learn and digest a whole different area in mathematics. Like in every field of science understanding the main idea and philosophy of Fuzzy Logic is much more important than technical and operational features. Day by day the concept of Fuzzy Sets influences many different fields, particularly engineering systems, sociology, economy, semantics, data analysis, medicine, decision making, etc

Click Here for the CV