Technische Universität München Robotics and Embedded Systems
 

Dr. Martin Felder

 

Former Research Associate

E-Mail felder@in.tum.de
Room  
Phone  
Fax  
Address Institut für Informatik VI
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany
Homepage http://www6.in.tum.de/~felder/
Dr. Martin Felder
 

Curriculum Vitæ

Feb. 2007 - Dec. 2008 Technische Universität München
Postdoc researcher at the chair of Robotics and Embedded Systems under Prof. Schmidhuber
in the Machine Learning & Cognitive Robotics Group CogBotLab
2006 - 2007 Leibniz Computing Center, Garching
Enabling scientific software for HPC and managing Grid-Computing projects
2003 - 2005 NASA Goddard Space Flight Center, Greenbelt, MD
NRC PostDoc Associate, working on ozone assimilation
1998 - 2002 University of Bremen / ZSW Stuttgart
PhD in Environmental Physics, using neural networks for ozone retrieval
1997 Military Service in Donauwörth
After basic training mostly programming of DSPs in Assembler
1992 - 1997 University of Bayreuth
Study of Physics with focus on Geosciences, including
9 month exchange with University of St. Andrews, Scotland
1982 - 1992 Gymnasium Ernestinum Coburg
High school with main courses in Mathematics and Physics

Relevant Publications

[Note that my name was "Müller" prior to 2006.]

[1] Thomas Rückstieß, Martin Felder, and Jürgen Schmidhuber. State-Dependent Exploration for policy gradient methods. In W. Daelemans et al., editor, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2008, Part II, LNAI 5212, pages 234-249, 2008. [ .bib | .pdf ]
[2] Martin D. Müller, Anton K. Kaifel, Mark Weber, Silvia Tellmann, John P. Burrows, and Diego Loyola. Ozone profile retrieval from Global Ozone Monitoring Experiment (GOME) data using a neural network approach (Neural Network Ozone Retrieval System (NNORSY). Journal of Geophysical Research, 108(D16):4497-4515, 2003. [ DOI | .bib | .pdf ]
[3] Martin D. Müller, Anton Kaifel, Mark Weber, and John P. Burrows. Neural network scheme for the retrieval of total ozone from Global Ozone Monitoring Experiment data. Applied Optics, 41(24):5051-5058, 2002. [ DOI | .bib | .pdf ]
[4] Martin D. Müller. Bestimmung von atmosphärischem Gesamtozon und Ozonprofilen ausGOME Daten mit Hilfe des Neural Network Ozone Retrieval System(NNORSY). PhD thesis, University of Bremen, Institute of Environmental Physics (IUP), 2002. (in German). [ .bib | .pdf ]