Stefan Huber

I am a computer scientist and mathematician. My academic background is primarily in algorithms, especially in geometry and topology, with links to machine learning and industrial application. My industrial background is in the machine and factory automation industry.

As a senior lecturer at the Salzburg University of Applied Sciences I am teaching and researching in the broader area of mechatronics and robotics.

My contact details are:

snail mail: Fachhochschule Salzburg (ITS)
Urstein Süd 1
5412 Puch/Salzburg
room: 419
e-mail: mail address
PGP key: A3D92FF7 785D43C8 F2C19BA2 CDD89BE5 0973919E
fon: +43 50 2211-1324

About me

In 2015–2019 I worked at B&R Industrial Automation, where I built up a fine team of R&D engineers with a focus on algorithms and mathematics. I was responsible for the PLC software operating the next-generation transport system ACOPOStrak, for which I initially developed the concepts and architectures, mathematical models and core algorithms.

Besides my industry job I kept teaching at the University of Salzburg and the Salzburg University of Applied Sciences.

I was a Postdoc researcher at the IST Austria (Institute of Science and Technology Austria) in the group of Herbert Edelsbrunner in the years 2013–2015 and worked in computational topology.

I had a Senior Scientist position at the Department of Mathematics (2012) at the University of Salzburg and I was a Postdoc at Martin Held’s Computational Geometry and Applications Lab (2011–2012) at the Department of Computer Sciences at the University of Salzburg.

I finished my Doctoral studies in 2011 at the Department of Computer Sciences at the University of Salzburg. Furthermore, I received a Master degree in Mathematics, a Master degree (Dipl.-Ing.) in Computer Science, a Bachelor degree in Mathematics and a Bachelor degree in Computer Science in the years 2009, 2008, 2007 and 2006.

What I cannot create, I do not understand.
Richard Feynman

Science is what we understand well enough to explain to a computer.
Art is everything else we do.
Donald Knuth

A picture may be worth a thousand words, a formula is worth a thousand pictures.
Edgar Dijkstra