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TU Berlin

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Subject Areas

Depending on your wishes, a theoretical or a practical subject will be assigned to you for your bachelor's or master's thesis. Occasionally we also supervise selected topics in machine learning and computer science. We are also open for theses in cooperation with industry. This will be discussed in detail during the first meetings. In particular, you may choose one of the following subject areas. Of course, your own proposals are also most welcome.

Some of the research areas are described in detail here. For some examples we refer to thr current theses.

Possible Subject Areas
Applied Harmonic Analysis (Wavelets, Shearlets, etc.)
Image and Video Processing (Analysis, Compression, etc.)
Compressed Sensing, Sparse Approximation, Sparse Recovery
Data Science
Frame Theory
Functional Analysis
High-Dimensional Data Analysis
Interdisciplinary Theses
Learning Theory/Machine Learning
Partial Differential Equations (Adaptive Solution Methods,...)
Signal Analysis (Audio Signals like Music, etc.)

As mentioned before, we are also open for cooperation with industry, in particular, with the following companies:

Cooperation with Industry
Medical Image Processing
Imaging Science, Data Analysis
TERAKI (Start-Up for Internet of Things)
Compressed Sensing, Data Science
Some exemplary topics

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