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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 Dive into the research topics where Julius Tschannerl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2016 2019

Edge detection
Travel time
seismic data
travel time
Gas oils

Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination

Tschannerl, J., Ren, J., Zhao, H., kao, F-J., Marshall, S. & Yuen, P., 31 Oct 2019, In : Optics and Lasers in Engineering. 121, p. 352-357 6 p.

Research output: Contribution to journalArticle

self organizing systems
image reconstruction
Image reconstruction
Light emitting diodes
light emitting diodes

Prizes

Best Paper Award

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

Prize: Prize (including medals and awards)

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