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

 

Andrzej Ślebarski | Excellence in Research | Data Analysis Innovation

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Andrzej Ślebarski | Excellence in Research - Award Winner 2023

Prof Dr Andrzej Ślebarski : Data Analysis Innovation

Congratulations to Prof. Dr. Andrzej Ślebarski, a true trailblazer in the realm of Data Analysis Innovation! Your unwavering commitment to excellence in research has earned you the prestigious International Research Data Analysis Excellence Award. Your groundbreaking contributions and innovative approaches in data analysis have not only set a new standard but have also significantly advanced our understanding of complex datasets. Your dedication and achievements inspire us all. Here's to celebrating your well-deserved success and the impact you continue to make in the field. Cheers to a visionary leader and award winner!

Professional Profiles:

Early Academic Pursuits:

Andrzej Ślebarski began his academic journey at the University of Silesia in Katowice, where he obtained his Master's degree in Physics in 1973. Subsequently, he pursued his doctoral studies at the same university, earning his Ph.D. in 1978. His early research focused on structural and magnetic investigations of ternary Laves phases, particularly in the GdMn2-GdAl2 system.

Professional Endeavors:

Dr. Ślebarski's academic career has been extensive and impactful. He joined the Institute of Physics at the University of Silesia in 1973, starting as an Assistant and gradually progressing through various roles, including Adiunkt, Assistant Professor, Associate Professor, and finally reaching the position of Full Professor in 2003. His responsibilities included both teaching physics to students and conducting scientific research in experimental solid-state physics.

In 2021, he transitioned to become a Full Professor at the Institute of Low Temperatures and Structure Research, Polish Academy of Sciences, Wrocław, following his retirement from the University of Silesia in Katowice.

Contributions and Research Focus:

Dr. Ślebarski's research has primarily centered around solid-state physics, with a specific focus on the electronic structure of intermetallic compounds of rare earths. His experimental techniques involved X-ray spectroscopy, including XPS (X-ray photoelectron spectroscopy), XES (X-ray emission spectroscopy), BIS (Bremstrahlung isochromat spectroscopy), XANES, and others. His investigations delved into specific heat, electric and heat transport, and magnetic properties of metals and alloys containing rare earths, exploring phenomena such as fluctuant valency, Kondo effect, heavy fermion properties, and quantum phase transitions.

His interest extended to strongly correlated electron phenomena in d- and f-electron materials, encompassing superconductivity, magnetism, heavy fermion behavior, and non-Fermi liquid behavior. Notably, he focused on unconventional superconductivity arising from atomic disorder.

Accolades and Recognition:

Throughout his career, Dr. Andrzej Ślebarski has received prestigious awards, including the award of the Polish Academy of Sciences in 1990 and 1982, as well as the award of the Minister of Science and Education in 1983, 1979, and 2021. His contributions have been recognized both nationally and internationally.

Impact and Influence:

Dr. Ślebarski's international collaborations and numerous visits abroad have further enriched his research and contributed to the global scientific community. Noteworthy are his collaborations with institutions such as the University of Cologne, University of Osnabrueck, and University of California, San Diego, where he engaged in fruitful scientific exchanges and research programs.

Legacy and Future Contributions:

As a Vice President of the Committee of Physics of the Polish Academy of Sciences and a member of various scientific councils, Dr. Ślebarski continues to play a significant role in shaping the direction of physics research in Poland. His extensive experience, both in administration and academia, positions him as a valuable figure in the scientific community. The legacy of his research, mentorship, and leadership will likely continue to influence the field of solid-state physics for years to come.

Notable Publications:

Citations:

A total of  665  citations for his publications, demonstrating the impact and recognition of his research within the academic community.

Citations                665

h-index  19            16

i10-index                25