Elena Zaitseva | Data Mining | Best Researcher Award

Elena Zaitseva | Data Mining | Best Researcher Award

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

Publication profile

Scopus
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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 

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 | 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. 🏆

Professional Profile:

Scopus

Google Scholar

🎓 Qualification:

Dr. B. Sathiyabhama holds a B.E., M.Tech., and Ph.D. from the National Institute of Technology, Tiruchirappalli. She completed her M.Tech project internship at the Bioinformatics Centre, IISC, Bangalore, where she obtained a University rank.

📚 Experience:

With 29 years and 10 months of teaching experience, Dr. Sathiyabhama’s expertise spans various domains including Data Mining, Big Data Analytics, Computational Intelligence, Health Informatics, and more.

📝 Publications:

She has contributed to 63 international and national journal and conference publications, demonstrating her research prowess.

🏆 Major Contributions:

Dr. Sathiyabhama serves as the Head of the Centre for Data Mining and Database System Design, driving research, development, and consultancy projects. She has organized and coordinated various conferences and conventions and actively contributes to professional society activities.

🏅 Awards and Recognitions:

She was selected as one of the 100 participants for the AICTE-UKIERI Leadership Development Programme 2020 and was recognized as a WINNER in the IITB-ISRO-AICTE Mapathon, showcasing her leadership and technical skills.

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 :

Scopus Metrics:

  • 📝 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.

Google Scholar Metrics:

  • 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. 🌐🔬

Publications Top Notes :

  1. A survey on partition clustering algorithms
    • Published in International Journal of Enterprise Computing and Business Systems in 2011.
    • 103 citations.
  2. Bearing fault diagnosis using wavelet packet transform, hybrid PSO and support vector machine
    • Published in Procedia Engineering in 2014.
    • 69 citations.
  3. A novel feature selection framework based on grey wolf optimizer for mammogram image analysis
    • Published in Neural Computing and Applications in 2021.
    • 60 citations.
  4. T2FL-PSO: Type-2 fuzzy logic-based particle swarm optimization algorithm used to maximize the lifetime of Internet of Things
    • Published in IEEE Access in 2021.
    • 57 citations.
  5. Energy and delay aware data aggregation in routing protocol for Internet of Things
    • Published in Sensors in 2019.
    • 55 citations.