Sebastian Stober

Professor For Artificial Intelligence at Artificial Intelligence Lab (AILab) - OvGU

Magdeburg, Saxony-Anhalt, Germany
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Summary

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Senior
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Sebastian Stober is a Professor for Artificial Intelligence and Head of the AILab at Otto-von-Guericke-Universität Magdeburg with 11 years of focused experience in applied machine learning and information retrieval. He leads interdisciplinary “humans-in-the-loop” research that bridges cognitive science, brain–computer interaction, and real-world retrieval systems. His career includes running a junior research group at the University of Potsdam and postdoctoral work on music imagery and BCI, reflecting a rare blend of experimental neuroscience and algorithmic engineering. He has a summa cum laude Dr.-Ing. and a distinguished diploma in Computer Science, and a long track record of EU and DFG-funded projects spanning multimedia, semantic annotation, and creative information discovery. Known for organizing international workshops and supervising hands-on student projects, he combines deep theoretical insight with practical system-building and mentorship. Based in Magdeburg, Germany, he often focuses on making interactive AI systems that respect human constraints and support creative exploration.
code12 years of coding experience
job13 years of employment as a software developer
bookDr.-Ing., Computer Science, summa cum laude, Dr.-Ing., Computer Science, summa cum laude at Otto-von-Guericke-Universität Magdeburg
languagesGerman, English, Spanish, French, Latin
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Github Skills (10)

neuroimaging9
python9
visualization9
neuroscience9
statistics9
machine-learning8
information-retrieval7
mir6
deep-learning4
wireless1

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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sstober/openmiir

Aug 2016 - Aug 2017

a public domain dataset of EEG recordings for music imagery information retrieval
Contributions:1 release, 2 commits, 18 pushes in 1 year
information-retrieval
sstober/deepthought

May 2016 - May 2016

a library for decoding brain activity using deep learning
Contributions:1 release, 3 commits, 79 pushes in 2 days
deep-learning
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