Dr. Michelle Karg

Angestellt, Machine Learning Expert and Computer Vision Developer, Halla DAS Lab Europe GmbH
Amtzell, Germany

Fähigkeiten und Kenntnisse

Machine Learning and pattern recognition
Statistics
Signal processing
Computer vision
Automated movement analysis
Software development in C/C++ and Matlab
Biomedical engineering
Nonlinear system theory and modelling

Werdegang

Berufserfahrung von Michelle Karg

  • Current 11 years and 5 months, since Jan 2015

    Machine Learning Expert and Computer Vision Developer

    Halla DAS Lab Europe GmbH

    Design and Development of machine learning and computer vision algorithms for advanced driver assistance system

  • 2 years and 11 months, Feb 2012 - Dec 2014

    Post-doctoral Fellow

    University of Waterloo, Canada

    Post-doctoral fellow: Research Focus on Machine Learning, Statistics, and Signal Processing applied to Automated Human Movement Analysis with Application to Sports Training, Motion Rehabilitation, and Clinical Movement Analysis

  • 4 years and 5 months, Sep 2007 - Jan 2012

    Doctoral Candidate

    Institute of Automatic Control, Technical University of Munich

    Research and Teaching Assistant

  • 1 year, Sep 2006 - Aug 2007

    Software Developer

    Willtek Communications GmbH, Ismaning

    Software Development

  • 11 months, Sep 2004 - Jul 2005

    Software Developer

    NXN Software AG

    Development of Automated Test Routines

Ausbildung von Michelle Karg

  • 4 years and 5 months, Sep 2007 - Jan 2012

    Electrical and Computer Engineering

    Technical University of Munich

  • 6 months, Jan 2006 - Jun 2006

    Electrical Engineering

    University of North Texas, Denton, USA

    Diploma Thesis at the Center of Network Neuroscience

  • 6 months, Aug 2005 - Jan 2006

    Electrical Engineering

    Lunds Tekniska Hoegskola, Lund, Sweden

  • 4 years, Sep 2001 - Aug 2005

    Electrical and Computer Engineering

    Technical University of Munich

  • 4 years and 3 months, Sep 2001 - Nov 2005

    Electrical and Computer Engineering

    Technical University of Munich

Sprachen

  • English

    C1 (Fließend)

  • German

    C2 (Verhandlungssicher / Muttersprachlich)

  • Swedish

    B1-B2 (Gute Kenntnisse)

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