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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. Paul Breiding
Prof. Dr. Winfried Bruns
Prof. Dr. Tim Römer
Postdocs
Dr. Dinh Le Van
Dr. Manh Toan Nguyen
Dr. Pierpaola Santarsiero
PhD Students
Viktoriia Borovik
Sarah Eggleston
Elima Shehu
Mandala von Westenholz
Secretary
Former Members
Dr. Alexandros Grosdos Koutsoumpelias
Dr. Khazhgali Kozhasov
Dr. Ulrich von der Ohe
Dr. Samantha Kay Fairchild
