Mikhail Zabezhaylo | Data Mining | Worldwide Innovation in Research Analytics Award

Prof Dr. Mikhail Zabezhaylo | Data Mining | Worldwide Innovation in Research Analytics Award

Federal Research Center “Informatics and Management” of the Russian Academy of Sciences | Russia

Author Profile

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Early Academic Pursuits 🎓

Mikhail I. Zabezhaylo, born in 1956, graduated from the Moscow Institute of Physics and Technology (MIPT) in 1979, specializing in Applied Mathematics and Artificial Intelligence (AI). Under the guidance of Prof. D.A. Pospelov and Prof. V.K. Finn, he earned his Ph.D. in Mathematical Cybernetics in 1983 at MIPT, marking the beginning of his deep academic foundation in theoretical computer science.

Professional Endeavors 💼

Dr. Zabezhaylo has held significant positions at major scientific institutions in the USSR and Russia, starting with the All-Union Institute of Scientific and Technical Information (VINITI) and later at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS). His career spans roles like Senior Researcher, Associate Professor, and Chief Researcher, and he currently leads the Laboratory “Intelligent Data Analysis”.

Contributions and Research Focus on  Data Mining 🔬

Dr. Zabezhaylo’s research primarily revolves around Artificial Intelligence (AI), data mining, information systems, and decision support systems. He has been involved in high-profile projects with major organizations such as Gazprom, Russian Railroads, and Siemens, focusing on real-world AI applications. His contributions include leading significant R&D projects, like the Skolkovo Foundation’s “Software Defined Networks” mega-grant.

Impact and Influence 🌍

With 180+ scientific publications, Dr. Zabezhaylo has had a major impact on AI and data analysis methodologies, shaping both theoretical and applied computer science. His work is recognized globally, influencing industries, academia, and governmental bodies. His ability to bridge theory and practice has made him a thought leader in AI-powered systems.

Academic Citations 📚

Dr. Zabezhaylo’s work is highly cited, with over 180 publications referenced in major academic journals and conferences. His research on artificial intelligence, decision support systems, and data analysis continues to be a valuable resource for scholars and professionals alike.

Technical Skills 🖥️

Dr. Zabezhaylo is proficient in mathematical modeling, AI, data mining, and decision support systems. His skills extend beyond theory, as he is adept at leading large-scale R&D projects and collaborating with commercial and governmental entities, applying his expertise in real-world solutions.

Teaching Experience 🧑‍🏫

Dr. Zabezhaylo has over 20 years of teaching experience at MIPT, Moscow State University, and other prominent universities. As a professor, he has lectured and conducted seminars on Artificial Intelligence, shaping the future of AI research and training the next generation of AI professionals.

Legacy and Future Contributions 🔮

Dr. Zabezhaylo’s legacy in AI and computer science is firmly established. He continues to lead advancements in data analysis and AI technologies through his work at FRC CSC RAS. His future contributions will likely continue to drive innovation in AI systems and their applications across diverse sectors.

 Notable Publications  📑

On Some Current Myths about Modern Artificial Intelligence

Authors: Zabezhailo, M.I., Mikheyenkova, M.A., Finn, V.K.

Journal: Pattern Recognition and Image Analysis

Year: 2024

On the Problem of Explaining the Results of Intelligent Data Analysis

Authors: Zabezhailo, M.I.

Journal: Pattern Recognition and Image Analysis

Year: 2024

On Some Possibilities of Using AI Methods in the Search for Cause-And-Effect Relationships in Accumulated Empirical Data

Authors: Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E.

Journal: Lecture Notes in Networks and Systems

Year: 2024

Probabilistic Models for Detection of Causal Relationships in Data Sequences

Authors: Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E.

Journal: Lecture Notes in Networks and Systems

Year: 2024

Statistical Causality Analysis

Authors: Grusho, A.A., Grusho, N.A., Zabezhailo, M.I., Samouylov, K.E., Timonina, E.E.

Journal: Discrete and Continuous Models and Applied Computational Science

Year: 2024

Yong Chen – Innovation in Data Analysis – Best Researcher Award

Dr. Yong Chen - Innovation in Data Analysis - Best Researcher Award 

China University of Petroleum (East China) - China

Author Profile

Early Academic Pursuits

Dr. Yong Chen embarked on his academic journey in petroleum engineering at China University of Petroleum (East China), laying the groundwork for his future research endeavors. His undergraduate studies equipped him with fundamental knowledge in the field, fostering a strong foundation upon which he would later build his advanced research. During his master's program, Chen delved deeper into the intricacies of hydraulic fracturing in unconsolidated sandstone reservoirs under the guidance of Assoc. Prof. Chuanliang Yan, demonstrating his commitment to exploring innovative solutions to industry challenges.

Professional Endeavors

Dr. Chen's professional journey extended beyond academia, as evidenced by his involvement with esteemed organizations such as the Guangzhou Marine Geological Survey and CNOOC Research Institute Co., Limited. These experiences provided him with invaluable insights into real-world applications of his research, preparing him for a career dedicated to advancing the field of petroleum engineering.

Contributions and Research Focus

Dr. Chen's research focus spans various aspects of petroleum and natural gas engineering, with a particular emphasis on the development of hydrate reservoirs. His contributions to the field include pioneering studies on medium clogging mechanisms and sand control methods in hydrate reservoirs, as well as investigations into the feasibility of hydraulic fracturing in challenging geological formations. Through his interdisciplinary approach, Chen seeks to address critical issues facing the oil and gas industry, from reservoir stability to carbon capture and storage techniques.

Accolades and Recognition

Dr. Chen's research efforts have garnered significant recognition, both domestically and internationally. His publications in prestigious journals such as Powder Technology and Journal of Cleaner Production underscore the impact of his work on the scientific community. Additionally, Chen's patent portfolio highlights his innovative contributions to sand control pipe design and reservoir simulation technologies, positioning him as a leading figure in the field of petroleum engineering.

Impact and Influence

Dr. Chen's research has the potential to revolutionize the way we extract and utilize natural resources, with implications for energy sustainability and environmental conservation. By exploring novel approaches to reservoir management and carbon sequestration, Chen's work has the power to shape the future of the oil and gas industry, ensuring its continued relevance in an evolving global landscape.

Legacy and Future Contributions

As a Ph.D. candidate at China University of Petroleum (East China), Chen is poised to leave a lasting legacy in the field of petroleum engineering. His dedication to advancing knowledge and solving complex challenges serves as an inspiration to future generations of researchers. Moving forward, Chen's work will continue to push the boundaries of scientific understanding, paving the way for innovative solutions to the pressing issues facing the energy sector. With a focus on collaboration and interdisciplinary research, Chen remains committed to driving positive change in the industry and beyond.

Notable Publication