Kilian Röhner, M.Sc.

Address:

TU München

Institut für Informatik

Boltzmannstr. 3

85748 Garching b. München

Office:

MI 02.05.041

Email:

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

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Teaching

• Lectures/Seminars/Exercises/Practicals:
  • Tutorials & Course Assistant Diskrete Strukturen, WT 2016/2017
  • Seminar Computational Aspects of Machine Learning, WT 2016/2017
  • Proseminar Data Mining, ST 2016
  • Seminar Computational Aspects of Machine Learning, WT 2015/2016
  • Tutorials & Course Assistant Algorithms of Scientific Computing, ST 2015
  • Proseminar Data Mining, ST 2015
  • Tutorials & Course Assistant Diskrete Strukturen, WT 2014/2015
  • Seminar Computational Aspects of Machine Learning, WT 2014/2015
  • Tutorials & Course Assistant Algorithms of Scientific Computing, ST 2014
  • Proseminar Data Mining, ST 2014
  • Tutor Diskrete Strukturen, WT 2012/2013
  • Tutor Diskrete Strukturen, WT 2010/2011
• Summer Schools:
  • Ferienakademie 2014 (course 5)
• University preparation courses
  • Central organisation Study Introduction Days WT 2012/2013
  • Main coordination Study Introduction Days WT 2011/2012
  • Tutor Vorkurs Mathematik für Informatiker, WT 2011/2012
  • Main coordination Study Introduction Days ST 2011
  • Main coordination Study Introduction Days WT 2010/2011
  • Tutor Vorkurs Mathematik für Informatiker, WT 2010/2011
  • Main coordination Study Introduction Days ST 2010
  • Central organisation Study Introduction Days WT 2009/2010
  • Tutor Vorkurs Mathematik für Informatiker, WT 2009/2010
  • Tutor Study Introduction Days WT 2008/2009
  • Tutor Vorkurs Mathematik für Informatiker, WT 2008/2009

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

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About me

• Ultimate Frisbee
  • Tiefseetaucher
  • Ultimate München
• Music
  • TUM JazzBand