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

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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

Orcid

Scopus

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

Priya L – Cognitive analytics – Excellence in Innovation 

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Dr Priya L - Cognitive analytics - Excellence in Innovation 

Rajalakshmi engineering college - India

Author Profile

Early Academic Pursuits

Dr. L. Priya embarked on her academic journey with a strong foundation in engineering, completing her Bachelor's in Electronics and Communication Engineering (B.E. ECE) from AVC College of Engineering, Mayiladuthurai. She further honed her expertise with a Master's in Technology (M.Tech) in Information Technology from M.I.T Campus, Anna University. Her academic pursuit reached its pinnacle with a Ph.D. in Computer Vision from Anna University, showcasing a deep commitment to advancing her knowledge in the field.

Professional Endeavors

With an illustrious career spanning 23 years, Dr. L. Priya has been a stalwart in the field of Information Technology. Since 2009, she has served as a Professor in Information Technology at Rajalakshmi Engineering College (REC). Her dedication to teaching and research is evident in her significant contributions to the academic community.

Contributions and Research Focus

Dr. Priya has made substantial contributions to the field of Computer Vision and Machine Vision. Her consultancy work, involving over 40 projects, focuses on enhancing the quality control processes using Machine Vision technologies. Noteworthy projects include advancements in areas like Smart Boat technology, tele radiology software for Private PACS, and quality inspection systems for automotive components and consumer products.

Her expertise extends to the editorial domain, where she holds positions in reputed publications, contributing to the dissemination of knowledge in the academic realm. Dr. Priya's research focus spans diverse areas such as image processing for timely detection of stemborer infection, digitally fusing traditional knowledge for promoting millets as a nutritious alternative, and various machine vision applications.

Accolades and Recognition

Dr. L. Priya's significant impact in the Information Technology field has been acknowledged through numerous accolades. She has been honored with a Lifetime Achievement Award for outstanding professional and research achievements by the Institute of Researchers, recognized by the Ministry of MSME, Govt. of India. Additionally, her Academic Excellence Award in the Aram Awards 2023 highlights her substantial contributions to industry-academia collaboration.

Legacy and Future Contributions

As a recognized authority in her field, Dr. Priya has left a lasting legacy through her role as a Governing Council Body Member in the Federation of Industry and Management Association (FIMA) and as a Lifetime Member of the Indian Society for Technical Education. Her leadership in the MSME Business Incubation Center of REC has led to the successful establishment of an Incubation Center, fostering innovation and entrepreneurship.

Looking forward, Dr. L. Priya continues to contribute to the academic and industrial landscape, with a focus on research, mentorship, and the application of cutting-edge technologies. Her commitment to excellence and innovation sets a benchmark for future generations in the field of Information Technology.

Notable Publication

 

Zhe YUAN | Best Researcher Award | Data-informed Decision Making

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YUAN - Pôle universitaire Léonard de Vinci - Data-informed Decision Making🏆

Dr Zhe YUAN : Data-informed Decision Making

Professional profile:

Early Academic Pursuits

Zhe Yuan's academic journey began with a Bachelor's degree in E-commerce from the Management School of Information System, Hubei University of Economics, China, in 2013. This foundational education was followed by an MSc in Logistics Engineering from Huazhong University of Science & Technology, China, in 2015. His pursuit of knowledge culminated in a PhD in Industrial Engineering from Centrale Supelec, University of Paris Saclay, France, in 2019. His early academic pursuits laid the groundwork for a career focused on industrial engineering, logistics, and e-commerce.

Professional Endeavors

Post his academic achievements, Zhe Yuan has made significant strides in academia and research. Since 2019, he has served as a Professor-Researcher at EMLV, Paris la Defense, France. Concurrently, he has been actively involved in multiple research projects, notably partnering with esteemed organizations such as the National Natural Science Foundation of China. His role as a Project Coordinator for Erasmus+ Agency projects since 2019 further underscores his commitment to academic and research excellence.

Contributions and Research Focus

Zhe Yuan's research interests are vast and highly relevant in today's digital age. His primary areas of focus encompass Smart Services, AI, Big Data, E-commerce, Optimization, and Sustainable Information Systems. His scholarly contributions include numerous peer-reviewed articles published in renowned journals such as the International Journal of Production Economics, Regional Studies, and IEEE Transactions On Engineering Management. Additionally, he has actively participated in conferences worldwide, presenting his research findings and contributing to academic discourse.

Accolades and Recognition

Throughout his academic and professional journey, Zhe Yuan has garnered recognition for his exemplary work. His research projects have received substantial funding, including grants from the National Natural Science Foundation of China. His publications in esteemed journals and his active participation in academic committees highlight his stature in the academic community. Furthermore, his role as a reviewer for prestigious journals like the International Journal of Production Research and Energy Economics underscores his expertise and contributions to the field.

Impact and Influence

Zhe Yuan's research and pedagogical activities have had a profound impact on the fields of Industrial Engineering, Logistics, and E-commerce. His research on AI, Big Data, and Optimization has paved the way for innovative solutions in Smart Services and Sustainable Information Systems. Moreover, his teaching endeavors, supervising master's theses, and guiding Ph.D. students have shaped the next generation of scholars and professionals in these domains.

Legacy and Future Contributions

As a distinguished Professor-Researcher, Zhe Yuan's legacy is characterized by his relentless pursuit of knowledge, commitment to excellence, and impactful contributions to academia and research. His research focus on Smart Services, AI, and E-commerce continues to be highly relevant, given the evolving technological landscape. Moving forward, he is poised to further expand his research horizons, mentor budding scholars, and contribute significantly to addressing contemporary challenges in Industrial Engineering and related fields.

In summary, Zhe Yuan's early academic pursuits, professional endeavors, groundbreaking research, accolades, and future contributions collectively underscore his prominence in Industrial Engineering, Logistics, and E-commerce. His legacy as a visionary scholar and educator will undoubtedly inspire generations to come.

Notable Publication: