Martin Wutke

RESEARCH


PhD-Thesis: “Investigation of animal behavior and suitability of animal housing systems through the use of deep learning algorithms”


Research Fields and Interests

  • Unsupervised- and semi-supervised learning
  • Computer Vision and Deep Learning
  • Statistical Modeling


Curriculum Vitae


Academic Experience

Period Occupation
Since 10/2019 Doctorate in the Breeding Informatics group, University of Goettingen, Germany
04/2017 - 10/2019 Master of Science in Applied Statistics, University of Goettingen, Germany
10/2015 - 06/2017 Master of Science in Management, University of Goettingen, Germany
10/2012 - 04/2015 Bachelor of Science in Business Administration, University of Goettingen, Germany

Work Experience

Period Occupation
Since 10/2019 Research Associate, University of Goettingen, Germany
Since 10/2019 Teaching Associate for Data Analysis with R and Machine Learning, Breeding Informatics group, University of Goettingen, Germany
08/2014 - 07/2016 Intern, mod Services GmbH, Einbeck, Germany
04/2013 - 10/2019 Teaching Associate for Mathematics, Revision course Mathmatics, Statistics and Further Mathematics: Optimisation, Chairs of Statistics and Econometrics, University of Goettingen, Germany

Publications


Authors Title Journal
M Wutke, AΟ Schmitt, I Traulsen, and M Gültas Investigation of Pig Activity Based on Video Data and Semi-Supervised Neural Networks AgriEngineering
F Heinrich, M Wutke, PP Das, M Kamp, M Gültas, and AO Schmitt Identification of Regulatory SNPs Associated with Vicine and Convicine Content of Vicia faba Based on Genotyping by Sequencing Data Using Deep Learning Genes
M Wutke, M Gültas, I Traulsen, and AO Schmitt Automatische Unterscheidung von Verhaltensmustern bei Schweinen auf der Basis von Anomalieerkennung durch ein neuronales Konvolutionsnetzwerk 40. GIL-Jahrestagung, Digitalisierung für Mensch, Umwelt und Tier

See also ResearchGate.