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Former projects at the chair

In SFB 823 "Statistics of Nonlinear Dynamical Processes" (2009 - 2017, funded by DFG).

  • Subproject B3: Statistical modeling of temporally and spectrally highly resolved audio data
  • Subproject B4: Statistical process modeling in the processing of inhomogeneous mineral substrates
  • Subproject C2: Optimal experimental design for dynamic statistical models

In SFB 475 "Complexity reduction in multivariate data structures" (1997 - 2009, funded by DFG)

  • Subproject A4: Statistical methods and machine learning (1997 - 2009)
  • Subproject C5: Analysis and modeling of the deep drilling process with methods of statistics and neural networks (2000 - 2009)
  • Subproject B3: Multivariate determination and investigation of business cycles (1997 - 2006)
  • Subproject A2: Efficient Model Building by Optimal Design of Experiments (1997 - 2000)

In the Research Training Group "Statistical Modeling" (2004 - 2013, funded by DFG)

  • Project B3: Multi-objective optimization of correlated quality attributes using the desirability index
  • Project C4: Statistical modeling of music: from its generation to its perception
  • Project D2: Problem-specific optimization of an ECOC class binaryization for multiclass classification problems
  • Project D3: Cluster and classification methods in spectral analysis
  • Project D4: Numerical properties of algorithms of statistical learning methods

In the Research Training Group "Applied Statistics" (1993 - 2003, funded by the DFG)

  • Subproject C: Technometrics and Industrial Statistics (1997 - 2003)

Further projects

  • "Industrial Data Science - Qualification Concept for Machine Learning in Industrial Production" (InDaS), funded by BMBF (2017 - 2019).
  • "Development, integration and validation of innovative processes and QA methods in the production of large-format lithium-ion cells" (QS-Zell) as part of the ProZell research network / competence cluster, funded by the BMBF (2016 - 2019)
  • Subproject 5 "Adaptive Modeling and Real-Time Identification of Transcontinental Power Systems" in the DFG Research Group "Protection and Control Systems for Reliable and Safe Electric Power Transmission" (2011 - 2017).
  • Climate Information Platform for Copernicus (CLIPC), funded in the 7th Framework Programme of the European Union (2013 - 2016).
  • Support vector machines for extremely large data sets (funded by Mercator) (2013 - 2015).
  • Software development for Daimler AG (2013 - 2015).
  • Research work in statistical methodology (Unilever) (2012 - 2015)
  • NRW research school "Energy efficient production and logistics" (2009 - 2014)
  • Multi-objective optimization of automatic music classification based on higher order features using computational intelligence methods (funded by Klaus Tschira Foundation) (2009 - 2012)
  • International NRW Graduate School of Production Engineering and Logistics (2003 - 2009)
  • Diagnostic Classification Algorithms in Heterogeneous Populations (funded by Roche Diagnostics GmbH, Penzberg) (2005 - 2008)
  • Post Cochlea Processing (funded by Fraunhofer Institute Digital Media Technology, Ilmenau) (2004 - 2007)
  • Analysis of Statistical Methods for Standardization of Diagnostic Assays (funded by Roche Diagnostics GmbH, Penzberg) (2003 - 2006)

Calendar

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Location & approach

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

From Dortmund Airport, it takes just over 20 minutes to get to Dortmund Central Station by AirportExpress and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.