Research Output per year
I am currently a PhD student in the field of image processing and pattern recognition where I am trying to develop new algorithms for efficient data mining of hyperspectral image data and developing cost-effective mobile imaging devices.
Having completed my B.Sc. and M.Sc at the University of applied Sciences, Munich, Germany in Computer Science, I gained very good knowledge in software engineering and development. Specialising in Image Processing and Pattern Recognition during my masters, I was able to apply those skills and extend my knowledge in the field of image processing and machine learning and was able to work as a research assistant helping to develop state of the art algorithms for a computer vision library. A joint masters project with the University of Strathclyde where i developed a cost-effective mobile hyperspectral camera system introduced me to hyperspectral imaging and paved the way for my PhD.
My work as a freelance software developer next to my studies enabled me to acquire excellent time and self management skills as I had to conceptualise, coordinate and implement whole software projects with clients and colleagues. The strong industrial focus of my PhD led me to further develop my skills in industrial engagement and communication.
Master of Science, University of Applied Sciences
1 Oct 2013 → 31 Mar 2016
Bachelor of Science, University of Applied Sciences
1 Oct 2008 → 31 Mar 2012
- hyperspectral Imaging
- Machine Learning
- Feature Selection
Potential of UV and SWIR hyperspectral imaging for determination of levels of phenolic flavour compounds in peated barley maltTschannerl, J., Ren, J., Jack, F., Krause, J., Zhao, H., Huang, W. & Marshall, S., 1 Jan 2019, In : Food Chemistry. 270, p. 105-112 8 p.
Research output: Contribution to journal › Article
Research output: Contribution to conference › Abstract