Dr. Arthur Zimek

Professor

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Biography

Arthur Zimek is a Professor and Head of Section at the University of Southern Denmark, specializing in Data Science and Digital Democracy. He has an academic background in Computer Science with a Doctorate from Ludwig-Maximilian University of Munich. Zimek's research encompasses several areas including Algorithms, Data Mining, Machine Learning, and the challenges associated with processing Large Datasets. He is also an active contributor to the academic community, having participated in numerous peer reviews and conferences. In addition to his role at the University of Southern Denmark, Zimek has held guest professorships and postdoctoral positions at prestigious universities such as the University of Alberta and Vienna University of Technology. His scholarly profile includes works in high-dimensional data analysis and anomaly detection, reflecting his focus on advancing the field of Data Science through innovative research. Zimek's commitment to education is evident in his teaching portfolio, where he supervises students in various topics within spatiotemporal data analysis and statistical learning, preparing the next generation of researchers.

Research Interests

Experience

Professor

2016-01-01 — Present

University of Southern Denmark • Odense, Denmark

Leading research and teaching in Data Science and Digital Democracy.

Postdoctoral Fellow

2012-04-01 — 2013-03-31

University of Alberta • Alberta, Canada

Conducting advanced research in Data Science.

Research Associate

2008-10-01 — 2016-07-31

Ludwig-Maximilian University of Munich • Munich, Germany

Collaborating on various research projects in Computer Science.

Guest Professor

2014-04-01 — 2014-06-30

Vienna University of Technology • Vienna, Austria

Teaching and research in Data Science.

Awards

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Author Service Award

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Research Paper Award (SIAM SDM 2024)

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21st ACM Annual Computing: Notable Article

Requirements for University of Southern Denmark

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Overall
Required:6.5
TOEFL
Total
Required:88
PTE
Overall
Required:58
Prerequisites
Relevant Bachelor's degree in Science, Engineering, or Humanities Specific ECTS requirements in core subjects of the chosen field
Application Checklist
  • Official Bachelor's degree diploma
  • Transcripts of records
  • Course descriptions for prerequisite verification
  • Proof of English language proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
Specialization Notes

Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.