Elena Zaitseva | Data Mining | Best Researcher Award

Prof. Dr. Elena Zaitseva, University of Zilina , Slovakia.

Professor Elena Zaitseva, Ph.D., is an accomplished academic and researcher in Applied Informatics, currently serving at the Department of Informatics, University of Žilina, Slovakia. With a strong foundation in Computer Science, her career spans over three decades across teaching, research, and editorial roles. Her expertise encompasses reliability analysis, multiple-valued logic, and data mining. She is actively involved in international collaborations, including IEEE and ESRA, and holds editorial positions in reputed journals. Known for her innovative contributions, she continues to advance knowledge in biomedical informatics and multi-state systems reliability.

Publication profile

Scopus

Googlscholar

Orcid

Education And Experiance

MSc in Computer Science (1989) – Radioengineering Institute, Minsk, Belarus.
Ph.D. in Computer Science (1994) – State University of Informatics and Radioelectronics, Belarus.
Associate Professor in Applied Informatics (1998) – Belarus State Economic University.
Professor in Applied Informatics (2015) – University of Žilina, Slovakia.
Teaching: Courses on Applied Informatics, C++, Neural Networks, Reliability Analysis, and Decision-Making Systems.
Research: Focus on multiple-valued logic, reliability analysis, and data mining applications.

Suitability For The Award

Prof. Dr. Elena Zaitseva is an exceptionally qualified candidate for the Best Researcher Award due to her remarkable academic career, innovative contributions to multiple research domains, and leadership roles in international scientific communities. With over three decades of professional experience, she has made significant advancements in applied informatics, reliability analysis, and multiple-valued logic, among other fields. Her work seamlessly bridges theoretical research and practical applications, particularly in data mining, healthcare reliability, and decision support systems.

Professional Development

Elena Zaitseva is a prominent member of various international organizations, including the Gnedenko Forum and IEEE Czechoslovakia Section Reliability Society, where she chairs significant committees. She has been co-editor and editorial board member for several journals, such as Mathematical Problems in Engineering and Innovative Technologies and Scientific Solutions for Industries. Her leadership extends to steering technical chapters in European Safety and Reliability Association (ESRA). Through her dedication to professional excellence, she mentors researchers worldwide, advances computational reliability, and fosters interdisciplinary collaboration. Her innovative spirit is reflected in her contributions to the reliability and biomedical informatics communities.

Research Focus

Elena Zaitseva’s research centers on reliability analysis, data mining, and multiple-valued logic, contributing to fields like biomedical informatics and multi-state systems reliability. Her innovative methodologies address healthcare system reliability and classification problems using decision trees. Elena’s work on analytical descriptions and optimization algorithms for logic functions has significantly impacted logic design. She also focuses on importance analysis in system reliability and human error modeling. Her multidisciplinary approach integrates computational methods to solve real-world challenges, driving advancements in applied informatics and complex system analysis.

Awards and Honors

Chair of IEEE Czechoslovakia Section Reliability Society Chapter (2018 – Present).
Chair of ESRA Technical Chapter on Information Technologies and Communication (2011 – Present).
Member of Editorial Boards for numerous international journals, including CERES and Mathematical Problems in Engineering.
Recognized for leadership in Gnedenko Forum and European safety initiatives.
Renowned for her impactful contributions to reliability and statistical studies in academia and industry.

Publoication Top Notes

Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities, and challenges (Cited by: 173, Year: 2022)
Construction of a reliability structure function based on uncertain data (Cited by: 93, Year: 2016)
Reliability analysis of multi-state system with application of multiple-valued logic (Cited by: 84, Year: 2017)
Review of some applications of unmanned aerial vehicles technology in the resource-rich country (Cited by: 70, Year: 2021)
Multiple-valued logic mathematical approaches for multi-state system reliability analysis (Cited by: 66, Year: 2013)
Importance analysis by logical differential calculus (Cited by: 65, Year: 2013)
A review of continuous authentication using behavioral biometrics (Cited by: 59, Year: 2016)

Prof Dr. Sathiyabhama Balasubramaniam | Data Mining | Women Researcher Award

Prof Dr. Sathiyabhama Balasubramaniam, Sona College of Technology, India

🎓 Dr. B. Sathiyabhama, with qualifications including a B.E., M.Tech., and Ph.D. from the National Institute of Technology, Tiruchirappalli, brings nearly three decades of teaching experience to the table. Her expertise spans Data Mining, Big Data Analytics, Computational Intelligence, and Health Informatics. With 63 publications to her name, she’s a prolific researcher. As Head of the Centre for Data Mining and Database System Design, she leads research and consultancy projects. Dr. Sathiyabhama’s leadership and technical prowess earned her recognition in the AICTE-UKIERI Leadership Development Programme 2020 and a WINNER title in the IITB-ISRO-AICTE Mapathon. 🏆

Research Interest :

🔍 Dr. B. Sathiyabhama’s research interests lie at the intersection of Big Data Analytics, Healthcare, and Data Mining. With a keen focus on leveraging data-driven insights to revolutionize healthcare practices, she delves into the vast realms of Big Data to uncover patterns and trends that can enhance medical decision-making and patient outcomes. Her passion for exploring the synergies between technology and healthcare drives her quest to harness the power of data for the betterment of society. 🏥💻

📚 Publication Impact and Citations :

📝 Publications: 34 documents indexed in Scopus.

📊 Citations: A total of 295 citations for his publications, reflecting the widespread impact and recognition of Dr. B. Sathiyabhama’s research within the academic community.

All Time:

Citations: 799 📖
h-index: 15 📊
i10-index: 25 🔍

Since 2018:

Citations: 595 📖
h-index: 13 📊
i10-index: 17 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬