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The Research Group Applied Algebra and Data Analysis
The main research areas of the research group are based on applications of algebraic methods especially in data analysis, machine learning, and signal processing. A key focus are techniques from commutative algebra
and important research topics are
algebraic statistics and probability theory,
combinatorial algebra,
computer algebra,
convex optimization,
and discrete geometry.
Members:
Professors
Prof. Dr. Winfried Bruns
Prof. Dr. Tim Römer
Postdocs
PhD Students
Alexandros Grosdos Koutsoumpelias
