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Personal profile

Personal Statement

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.

Education/Academic qualification

Master of Science, University of Applied Sciences

1 Oct 201331 Mar 2016

Bachelor of Science, University of Applied Sciences

1 Oct 200831 Mar 2012

Keywords

  • hyperspectral Imaging
  • Machine Learning
  • Feature Selection

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2016 2019

Potential of UV and SWIR hyperspectral imaging for determination of levels of phenolic flavour compounds in peated barley malt

Tschannerl, 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 journalArticle

Flavor compounds
Radio Waves
flavor compounds
malt
Hordeum

Low cost hyperspectral imaging using deep learning based spectral reconstruction

Tschannerl, J., Ren, J. & Marshall, S., 10 Oct 2018 2 p.

Research output: Contribution to conferenceAbstract

Open Access
File
Color
Mobile devices
Imaging systems
Light emitting diodes
Costs

Prizes

Best Paper Award

Julius Tschannerl (Recipient), Jinchang Ren (Recipient) & Stephen Marshall (Recipient), 11 Oct 2018

Prize: Prize (including medals and awards)

File