Daniel Seebacher
Scholar

Daniel Seebacher

Google Scholar ID: j05VWWTr95cC
University of Konstanz
Machine LearningVisual AnalyticsSpatio-Temporal Events
Citations & Impact
All-time
Citations
753
 
H-index
13
 
i10-index
17
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Mentions some publications, but does not list specific titles or other academic achievement details.
Research Experience
  • Involved in several research projects, including BigGIS (Scalable GIS for Predictive and Prescriptive Analytics) and ASGARD (Analysis System for Gathered Raw Data). These projects focus on geographic information systems and how to utilize big data for in-depth analysis.
Education
  • Specific educational background details are not provided, but he is mentioned as a PhD student at the University of Konstanz.
Background
  • I have been a research associate and PhD student at the Data Analysis and Visualization group of Daniel Keim at the University of Konstanz since 2016. My research interests include the visual analysis of spatio-temporal events and their context. Concrete research examples include, for example, the analysis of the spread of invasive species, the study of intra-city meteorological phenomena, or the study of actions and interactions in sports such as soccer or tennis.
Miscellany
  • Contact Information:
  • - Email: [via email link]
  • - Address: University of Konstanz, Data Analysis and Visualization, Building ZT, Room 823
  • - Phone: +49 (0) 7531 88-2780
  • - Fax: +49 (0) 7531 88-3268