Gia SIRBILADZE | Fuzyt Dynamic Systems | Best Researcher Award

Prof. Gia SIRBILADZE | Fuzyt Dynamic Systems | Best Researcher Award

Prof., Ivane Javakhishvili Tbilisi State University (Georgia), Georgia

๐ŸŒŸ Professor Gia Sirbiladze is a prominent figure in intelligent simulation modeling and decision-making in uncertain environments, with over 40 years of teaching and research experience. Currently, he serves as a Professor of Applied Informatics at the Department of Computer Sciences at Iv. Javakhishvili Tbilisi State University (JTSU) in Georgia. ๐Ÿ“˜ As an author and editor of more than 150 papers and two monographs, he has made significant contributions to expert knowledge engineering and fuzzy technologies in decision-support systems. Additionally, Professor Sirbiladze is a member of several international computer science societies, including IEEE, WSEAS, IFSR, and MCDM, and sits on the editorial boards of multiple international journals. ๐ŸŒ

Publication Profile

ORCID

Education

๐ŸŽ“ Professor Sirbiladze holds a deep-rooted academic background in computer science and applied informatics, specializing in systems science, fuzzy technologies, and decision-making.

Experience

๐Ÿ“š With over four decades of experience at JTSU, Professor Sirbiladze has shaped research and teaching in applied informatics and computer sciences, especially within intelligent modeling and complex decision-making problems.

Research Interests

๐Ÿ” His research interests span several advanced areas of computer science, including systems science and engineering, fuzzy technologies, decision-support systems, control and filtration of extreme dynamic systems, and fuzzy discrete optimization in management.

Awards

๐Ÿ… Professor Sirbiladze has been recognized for his exceptional contributions to intelligent systems and decision-making, earning honors in his field and serving on editorial boards of international journals.

Publications

“Divergence and Similarity Characteristics for Two Fuzzy Measures Based on Associated Probabilities”
Published in: Axioms โ€“ 2024-11-09
DOI: 10.3390/axioms13110776

“Associated Probabilities in Insufficient Expert Data Analysis”
Published in: Mathematics โ€“ 2024-02-07
DOI: 10.3390/math12040518

“Possibilistic Simulation-Based Interactive Fuzzy MAGDM Under Discrimination q-Rung Picture Linguistic Information: Application in Educational Programs Efficiency Evaluation”
Published in: Engineering Applications of Artificial Intelligence โ€“ 2023-08
DOI: 10.1016/j.engappai.2023.106278

“Associated Probabilities Aggregations in Multistage Investment Decision-Making”
Published in: Kybernetes โ€“ 2023-03-24
DOI: 10.1108/K-09-2021-0908

Young-Chan Lee | Generative AI | Excellence in Research

Prof. Young-Chan Lee | Generative AI | Excellence in Research

Professor, Dongguk University, South Korea

๐ŸŒŸ Dr. Young-Chan Lee is a distinguished professor at Dongguk University, Korea, where he has been serving since 2004. With a rich academic and leadership background, he also holds key roles such as Dean of the Continuing Education Institute and the Institute of Ecology Education. Dr. Lee’s contributions extend globally, including positions at universities in Vietnam and Malaysia. His dedication to information systems and management science has earned him a stellar reputation in both academia and industry.

Publication Profile

ORCID

Education

๐ŸŽ“ Dr. Lee completed his Ph.D. in Management Science from Sogang University in 2003, specializing in data mining, system dynamics, and e-commerce strategy. He also holds an M.A. in Management Science from the same institution, where he concentrated on multi-objective decision-making models, and a B.A. in Business Administration with a focus on finance, econometrics, and management science.

Experience

๐Ÿ’ผ Over his career, Dr. Lee has taken on leadership roles at Dongguk University, including Dean of the School of Business Administration and Office of International Affairs. He has also worked internationally as an Adjunct Professor at Ton Duc Thang University in Vietnam and as a Senior Researcher at INTI International University in Malaysia. His academic career is complemented by editorial roles in several prestigious journals.

Research Focus

๐Ÿ”ฌ Dr. Lee’s research interests lie in data mining, machine learning for business analytics, knowledge management, system dynamics, and fintech innovation. He is particularly known for applying systems thinking and multi-criteria decision-making to tackle complex business and management challenges.

Awards and Honours

๐Ÿ† Dr. Lee has received numerous accolades, including multiple Best Paper Awards from leading associations such as the Korea Association of Information Systems. His work has also earned recognition on a global scale, including the Most Cited Paper Award from Elsevier and the Top Downloaded Paper Award from Wiley.

Publication Top Notes

Enhancing Financial Advisory Services with GenAI: Consumer Perceptions and Attitudes Through Service-Dominant Logic and Artificial Intelligence Device Use Acceptance Perspectives

Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation

Enhancing Financial Advisory Services with GenAI: Consumer Perceptions and Attitudes through SDL and AIDUA Perspectives