I'm Johann Schmidt

I'm a Scientist.

I'm a Researcher.

I'm a Developer.


based in Magdeburg, Germany.

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About Me

Let me introduce myself

I'm Johann Schmidt, PhD Student in Deep Learning

I work in the AILab of the Otto-von-Guericke University in Magdeburg, Germany as a researcher, where my daily business are deep neural network. My research focuses on fortifying these networks against vulnerabilities caused by variances in the input.

Take, for instance, an image classifier. It will break if issued with a rotated replicate of the training data. I develop solutions using the immense power of group theory. Join me on my quest to make neural nets exponentially more powerful and stable.

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2007 - 2014

A Levels

Privatgymnasium Tangermünde, Germany

During this shaping period, my fascination with electrical circuits, programming and math emerged, igniting a passion that continues to fuel my academic and professional pursuits.

2014 - 2018

Bachelor: Electrical Engineering

University of applied Science Magdeburg-Stendal, Germany

Although adept at designing electrical circuits, my true passion was unveiled in computer science - breathing life into these circuits.

Bachelor Thesis

Institut for Automation and Communication (ifak) e.V. Magdeburg, Germany

I developed a GUI for a clamp-on ultrasonic sensor system on an embedded controller in C, as well as analysed and evaluated the overall measurement system.

2018 - 2020

Master: Digital Engineering

Otto-von-Guericke University Magdeburg, Germany

I delved into advanced computer science courses, dedicating countless hours to self-study to bridge gaps in my knowledge. It was within the realm of deep learning that I found my niche—a domain where I finally felt at home.

Master Thesis

Fraunhofer Institute for Factory Operation and Automation IFF Magdeburg, Germany

I developed and integrated a vision-based human action recognition deep learning model for human-machine interaction in an industrial environment.

2020 - today

PhD in Deep Learning

Otto-von-Guericke University Magdeburg, Germany

I cultivated a robust expertise in deep learning, immersing myself in diverse research domains. I mentored students, refined scientific writing through conference publications, delivered presentations, and adeptly facilitated and guided small groups, cementing both theoretical and practical facets of the field.

PhD Thesis

AILab, Otto-von-Guericke University Magdeburg, Germany

I invent algorithms to efficiently search the Affine Group and canonicalize input signals of Deep Neural Networks boosting their stability when issued with out-of-distribution data.


2013 - 2016

Internships and Student Jobs

TCS AG Genthin, Bachmann GmbH Magdeburg, Enercon GmbH Magdeburg

I first came in touch with the development and assembling of electrical circuit boards. I analysed and evaluated of wind turbine data and helped with cabling of control cabinets of wind turbines.

2020 - 2022


BMBF-funded Project

During this BMBF-funded project we supported a regional semi-conductor company (Tectron Worbis GmbH) by developing an AI to tackle an NP-hard scheduling problem.

2022 - 2022


BMBF-funded Project

We created a novel Bachelors study program teaching the theories of artificial engineering intertwined with practical applications in several engineering disciplines (hands-on and student-centred with OERs).

2022 - today


BMBF-funded Project

Currently, we are lifting traffic control to the 21st century by developing an AI-based traffic signal control system using real-time V2X data.





Fluent in German (native) and English (daily use), I seamlessly navigate international professional environments. My linguistic repertoire extends to multiple programming languages, acquired throughout my career. This diverse language skill set, both human and computer, enables me to adapt quickly to various technical challenges and communicate effectively across disciplines.