Curriculum Vitae

Before starting my freelance career, I was Head of Machine Learning & GenAI at Germany's largest IT service provider, with 12,000+ employees and over €1.3B in annual revenue. Find more information on my professional experience on my CV.

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Publications

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A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes
Lars Leyendecker, Julius Haas, Tobias Piotrowski, and Maik Frye, Cora Becker, Bernd Fleischmann, Michael Hesse, Robert H. Schmitt
In Medical Imaging with Deep Learning – MIDL 2022, ETH Zürich, Switzerland, Jul 2022 (peer-reviewed publication)
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Benchmarking of Deep Learning Algorithms for Stem Cell Classification
Julius Haas
Master Thesis, Fraunhofer IPT, TH Köln, 2022
THESIS / SLIDES

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Control of an air conditioning device by recurrent neural networks (RNNs)
Julius Haas, and Karl Kohlhoff
Micro- and Nanotechnologies, Faculty of Information, Media, and Electrical Engineering, TH Köln, Jun 2021
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Probability of General Position
Niklas Hammerschmidt, Julius Haas, Ana Maria Gonzalez Degetau, Julian Hatzky, Tobias Sauer, Miriam Irding, Alexander Meinert
Faculty of Process Engineering, Energy and Mechanical Systems, Institute of Product Development and Engineering Design, TH Köln, Nov 2019
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Storage Related Degradation Mechanisms of Aluminum Electrolytic Capacitors
Julius Haas, Jennifa N.M. Li, Dr. Michael Azarian and Dr. Diganta Das
CALCE Institute, University of Maryland, MD, USA, Nov 2017
THESIS / SLIDES