Elena Zaitseva | Data Mining | Best Researcher Award

Elena Zaitseva | Data Mining | Best Researcher Award

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

Publication profile

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Education And Experiance

  • ๐ŸŽ“ย MSc in Computer Scienceย (1989) โ€“ Radioengineering Institute, Minsk, Belarus.
  • ๐ŸŽ“ย Ph.D. in Computer Scienceย (1994) โ€“ State University of Informatics and Radioelectronics, Belarus.
  • ๐ŸŽ“ย Associate Professor in Applied Informaticsย (1998) โ€“ Belarus State Economic University.
  • ๐ŸŽ“ย Professor in Applied Informaticsย (2015) โ€“ University of ลฝilina, Slovakia.
  • ๐Ÿ‘ฉโ€๐Ÿซย Teaching: Courses on Applied Informatics, C++, Neural Networks, Reliability Analysis, and Decision-Making Systems.
  • ๐Ÿง‘โ€๐Ÿ’ปย 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 Developmentย 

๐ŸŒย Elena Zaitsevaย is a prominent member of various international organizations, including theย Gnedenko Forumย andย IEEE Czechoslovakia Section Reliability Society, where she chairs significant committees. She has been co-editor and editorial board member for several journals, such asย Mathematical Problems in Engineeringย andย Innovative Technologies and Scientific Solutions for Industries. Her leadership extends to steering technical chapters inย 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.ย ๐ŸŒŸ

Research Focusย 

Awards and Honors

  • ๐Ÿ†ย Chairย of IEEE Czechoslovakia Section Reliability Society Chapter (2018 โ€“ Present).
  • ๐ŸŽ–๏ธย Chairย of ESRA Technical Chapter on Information Technologies and Communication (2011 โ€“ Present).
  • ๐Ÿ“œย Memberย of Editorial Boards for numerous international journals, includingย CERESย andย Mathematical Problems in Engineering.
  • ๐Ÿ…ย Recognized for leadership inย Gnedenko Forumย and European safety initiatives.
  • ๐ŸŒŸย Renowned for her impactful contributions toย reliability and statistical studiesย in academia and industry.

Publoication Top Notes

  • Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities, and challengesย (Cited by: 173, Year: 2022)ย ๐ŸŒŸ๐Ÿค–
  • Construction of a reliability structure function based on uncertain dataย (Cited by: 93, Year: 2016)ย ๐Ÿ“Š๐Ÿ”
  • Reliability analysis of multi-state system with application of multiple-valued logicย (Cited by: 84, Year: 2017)ย โš™๏ธ๐Ÿงฎ
  • Review of some applications of unmanned aerial vehicles technology in the resource-rich countryย (Cited by: 70, Year: 2021)ย ๐Ÿš๐ŸŒ
  • Multiple-valued logic mathematical approaches for multi-state system reliability analysisย (Cited by: 66, Year: 2013)ย ๐Ÿ”ข๐Ÿ“
  • Importance analysis by logical differential calculusย (Cited by: 65, Year: 2013)ย ๐Ÿ“–โšก
  • A review of continuous authentication using behavioral biometricsย (Cited by: 59, Year: 2016)ย ๐Ÿ–ฅ๏ธ๐Ÿ”‘

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

๐ŸŽ“ 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. ๐Ÿ†

Professional Profile:

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๐ŸŽ“ 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.

๐Ÿ“š 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.

๐Ÿ“ Publications:

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

๐Ÿ† 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.

๐Ÿ… 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 :

๐Ÿ” 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. ๐Ÿฅ๐Ÿ’ป

๐Ÿ“šย Publication Impact and Citations :

Scopus Metrics:

  • ๐Ÿ“ย Publications: 34 documents indexed in Scopus.
  • ๐Ÿ“Šย 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 ๐Ÿ“–
    • h-index: 15ย  ๐Ÿ“Š
    • i10-index: 25 ๐Ÿ”
  • Since 2018:
    • Citations: 595 ๐Ÿ“–
    • h-index: 13 ๐Ÿ“Š
    • i10-index: 17 ๐Ÿ”

๐Ÿ‘จโ€๐Ÿซ A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. ๐ŸŒ๐Ÿ”ฌ

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.