Kilian Röhner, M.Sc.: Difference between revisions

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== Talks ==
== Talks ==
<pubsccs>persid=100&nocaption=1&lang=en&utypid=1120&noauthor=1</pubsccs>
<pubsccs3 pubid=670479 person="Röhner" type="dt-nv-Vortrag|dt-konferenzbeitrag" postfilter="type=dt-konferenzbeitrag ~ contribution-type=Vortrag / Präsentation"/>
 
== Teaching ==
== Teaching ==
* Lectures/Seminars/Exercises/Practicals:
* Lectures/Seminars/Exercises/Practicals:
Line 55: Line 56:


=== Open ===
=== Open ===
If you are interested in doing a student project, please contact me via e-mail and provide some ideas, what the project should be about.
'''I don't advise any more student projects!'''


=== Running ===
=== Running ===
* D. Lehmberg: '''Estimating Potential Power Supply of an Offshore Wind Farm using Machine Learning'''<br>Master's thesis, Fakultät für Informatik, Technische Universität München, since August 2017
* V. Bautista Anguiano: '''Itegration and Visualization of Sparse-Grid based Clustering Methods in the SG++ Datamining Pipeline'''<br>Master's thesis, Fakultät für Informatik, Technische Universität München, since October 2019
* T. Waegemans: '''Image Classification with Geometrically Aware Sparse Grids'''<br>Bachelor's thesis, Fakultät für Informatik, Technische Universität München, since June 2017
* N. Stotzem: '''Normalization of Datasets for Sparse Grids Datadriven Methods in the SG++ Datamining Pipeline'''<br>Forschungspraktikum, Fakultät für Informatik, Technische Universität München, since July 2019


=== Finished ===
=== Finished ===
<pubsccs>betreuerid=100&nocaption=1&lang=en</pubsccs>
<pubsccs3 pubid=670479 advisor="Röhner" type=dt-thesis sort=-year />
 
== About me ==
== About me ==
* Ultimate Frisbee
* Ultimate Frisbee

Latest revision as of 14:53, 21 November 2019

Address:
TU München
Institut für Informatik
Boltzmannstr. 3
85748 Garching b. München
Office:
MI 02.05.041
Email:
Roehnermail.png
Phone:
(089) 289 18 638
Fax:
(089) 289 18 607
Office hours:
by arrangement

Research interests

  • Online Data Mining
  • Machine Learning with Big Data
  • Sparse Grids Methods

Talks

<pubsccs3 pubid=670479 person="Röhner" type="dt-nv-Vortrag|dt-konferenzbeitrag" postfilter="type=dt-konferenzbeitrag ~ contribution-type=Vortrag / Präsentation"/>

Teaching

Student Projects

Open

I don't advise any more student projects!

Running

  • V. Bautista Anguiano: Itegration and Visualization of Sparse-Grid based Clustering Methods in the SG++ Datamining Pipeline
    Master's thesis, Fakultät für Informatik, Technische Universität München, since October 2019
  • N. Stotzem: Normalization of Datasets for Sparse Grids Datadriven Methods in the SG++ Datamining Pipeline
    Forschungspraktikum, Fakultät für Informatik, Technische Universität München, since July 2019

Finished

<pubsccs3 pubid=670479 advisor="Röhner" type=dt-thesis sort=-year />

About me