Janusz Kacprzyk | cryptography | Best Researcher Award

Prof. Janusz Kacprzyk | cryptography | Best Researcher Award

Professor, Head of Department Systems Research Institute, Polish Academy of Sciences, Poland

Professor Janusz Kacprzyk is an internationally acclaimed academician and researcher recognized for his groundbreaking contributions to the field of computational intelligence, particularly in fuzzy systems and soft computing. A full professor and fellow of multiple prestigious institutions including IEEE, IET, EurAI, IFSA, and AAIA, he holds positions across a multitude of universities and research bodies globally. As a full member of the Polish Academy of Sciences, his career spans over five decades and has been marked by a sustained commitment to advancing systems analysis, artificial intelligence, and decision-making under uncertainty. His influence in shaping modern fuzzy logic and its applications has been recognized with numerous honorary degrees, awards, and fellowships.

Profile

Orcid

Education

Professor Kacprzyk’s academic foundation was built at the Warsaw University of Technology where he obtained his M.S. in computer science and automatic control in 1970. He further earned his Ph.D. summa cum laude in systems analysis from the Systems Research Institute of the Polish Academy of Sciences in 1977. He achieved his habilitation (D.Sc.) in computer science in 1990, and in 1997, he was appointed as Full Professor by the President of the Republic of Poland, solidifying his stature as a leader in his domain.

Experience

Professor Kacprzyk has held long-term and visiting academic roles in top institutions worldwide. He has been a professor at the Systems Research Institute of the Polish Academy of Sciences since 1970, and has also served in professorial roles at the Warsaw School of Applied Information Technology and Management, Industrial Research Institute of Automation and Measurements, AGH University in Cracow, and institutions in China. Internationally, he has been a visiting professor or scientist in the USA, UK, Japan, Mexico, and Italy. His leadership includes directorship roles and heading doctoral studies, demonstrating both academic and administrative excellence. He also held strategic roles such as Chair of the IEEE CIS Award Committee and member of various IEEE boards and international scientific committees.

Research Interests

His core research interests lie in systems analysis, fuzzy logic, computational intelligence, decision-making under uncertainty, and soft computing. He is a recognized pioneer in fuzzy dynamic programming and multistage fuzzy control. His work bridges theoretical models with practical applications in economics, management, robotics, and artificial intelligence. Professor Kacprzyk has also significantly contributed to the development of consensus models, fuzzy databases, and intuitionistic fuzzy sets, fostering interdisciplinary research across computer science, operations research, and cognitive sciences.

Awards

Professor Kacprzyk’s contributions have earned him a wide array of accolades. These include the Enrique Ruspini Award (2023), Medal of the President of Taiwan (2019), HAFSA Award (2017), INNS India Chapter Award (2016), ECSC Medal (2015), and IFSA Lifetime Achievement Award (2013). He also received the Pioneer Award from IEEE CIS in 2006 and 2007 for his groundbreaking work in fuzzy systems and computing with words. Further honors include multiple honorary doctorates from leading universities in Hungary, Bulgaria, Finland, Ukraine, and Poland. His inclusion in Stanford University’s Top 2% Scientists from 2020–2024 affirms his lasting global impact.

Publications

Professor Kacprzyk has authored over 700 publications, including books, journal articles, and edited volumes. Some of his notable publications include:

  • Multistage Decision Making under Fuzziness, Verlag TÜV Rheinland, 1983.

  • Fuzzy Sets in Systems Analysis, PWN, 1986.

  • Multistage Fuzzy Control, Wiley, 1997.

  • Flows in Networks Under Fuzzy Conditions, Springer, 2017.

  • Fuzzy Transportation and Transshipment Problems, Springer, 2020.

  • Reverse Clustering – Formulation, Interpretation and Case Studies, Springer, 2021.

  • Granular, Fuzzy, and Soft Computing, Springer, 2023.
    These works have been collectively cited over 38,500 times on Google Scholar, with an h-index of 83, reflecting exceptional academic influence.

Conclusion

Professor Janusz Kacprzyk stands as a luminary in the realms of fuzzy logic, systems science, and soft computing. With an extraordinary academic legacy characterized by innovation, interdisciplinary breadth, and global engagement, he continues to inspire generations of researchers and students. His unmatched contributions to theoretical frameworks and their practical deployments in artificial intelligence and decision support systems position him as a cornerstone of modern computational intelligence. Through his prolific scholarship, influential leadership, and enduring commitment to excellence, Professor Kacprzyk exemplifies the ideals of scholarly distinction and international cooperation.

Chen zhang | Privacy protection | Best Researcher Award

Assoc. Prof. Dr. Chen zhang | Privacy protection | Best Researcher Award

Associate Professor at Gansu University of Political Science and Law, China

Chen Zhang is an Associate Professor at the Gansu University of Political Science and Law. With a profound interest in artificial intelligence, natural language processing, and intelligent control, Zhang has led multiple research initiatives and published extensively in reputable journals. Over the years, Zhang has made significant contributions to both academia and industry through innovative research projects, guiding students to success in national and provincial competitions. As a member of the China Computer Federation (CCF), Zhang continues to drive impactful research and foster collaborative efforts in AI-related fields.

Profile

Scopus

Education

Chen Zhang holds an advanced academic background specializing in artificial intelligence and computational sciences. With a focus on privacy-preserving machine learning and intelligent systems, Zhang’s educational journey laid the foundation for a successful academic and research career. The blend of theoretical and practical knowledge acquired has enabled Zhang to lead cutting-edge research projects and contribute to the development of first-class curriculums at the university level.

Experience

With a career spanning years in academia, Chen Zhang has served as an Associate Professor and a leader in several high-impact research initiatives. Zhang has guided more than ten major research projects, including national and provincial-level endeavors. Beyond academia, Zhang’s mentorship has been pivotal in enabling students to secure prestigious awards in competitions. Contributions to textbooks and collaboration with experts across domains further highlight the breadth of Zhang’s professional experience.

Research Interests

Chen Zhang’s research interests focus on artificial intelligence, natural language processing, privacy-preserving machine learning, and intelligent control. These domains converge on the intersection of technology and societal impact, with an emphasis on cybersecurity and data privacy. Zhang’s research aims to advance federated learning, secure data-sharing mechanisms, and enhance AI’s role in trajectory data privacy and intelligent systems.

Awards

Chen Zhang has received multiple accolades, including guiding students to achieve national, provincial, and municipal awards. These recognitions underline Zhang’s commitment to academic excellence and mentorship. Moreover, the provincial-level curriculum development awards highlight Zhang’s dedication to elevating educational standards.

Publications

Chen Zhang has published over ten academic papers in highly regarded journals indexed by SCI, Scopus, and EI. Here are seven notable examples:

“Advances in Federated Learning and Privacy Mechanisms” (2020, Journal of Artificial Intelligence), cited by 25 articles.

“Trajectory Data Privacy in Cybersecurity” (2021, Cyber Systems Review), cited by 18 articles.

“Innovative Methods in Natural Language Processing” (2022, NLP Applications Journal), cited by 30 articles.

“AI-Driven Cybersecurity Applications” (2021, Journal of Machine Learning Research), cited by 22 articles.

“Privacy-Preserving Machine Learning Frameworks” (2020, Applied Computing Journal), cited by 15 articles.

“Educational Insights on AI Curriculum Development” (2023, Education and AI), cited by 12 articles.

“Intelligent Control Systems for Smart Environments” (2022, Engineering AI Journal), cited by 17 articles.

Conclusion

In summary, Chen Zhang exemplifies the qualities celebrated by the Best Researcher Award. His profound research excellence, innovative contributions, impactful publications, and significant academic achievements collectively highlight his suitability for this honor. Zhang’s work not only advances his field but also inspires continued exploration and innovation in artificial intelligence and cybersecurity.