Smart Steel Technologies
Markus Norden is a Machine Learning Engineer at Smart Steel Technologies since November 2020, previously holding the position of Machine Learning Working Student. Prior experience includes roles as a Student Research Assistant in the Machine Learning Group at the Berlin Institute of Technology from April 2018 to July 2021, where Markus contributed to developing an energy management system for microgrids focused on renewables, including a Python application for data retrieval and simulation visualization. Markus also worked on virtual 3D visualization for medical evaluation tools and developed thermo-chemical energy storage systems during earlier research assistant roles at the same institution. Markus holds a Master of Science in Physical Engineering and a Bachelor of Science in Energy Engineering and Process Technology, both from the Technische Universität Berlin, with a year spent at Universidad de Las Palmas de Gran Canaria as part of the ERASMUS program.
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Smart Steel Technologies
SMART STEEL TECHNOLOGIES - THE LEADER FOR AI IN STEEL Smart Steel Technologies supports the steel industry in the transformation towards intelligent AI-base production. SST delivers AI software products that improve quality, optimize energy demand and ensure accurate management of CO2 efficiency.Leading steel manufacturers both in Germany andabroad successfully use SST software 24/7 in production. Applications range from the production of high-quality automotive exposed steel grades to maximizing efficiency in the construction steel sector.SST achieves a permanent performance increase of 5-10% per process stage in 24/7 use. Across stages, this results in a significantly higher potential.At the same time, SST accompanies the steel manufacturer from the integration of the software to the complete achievement of the optimization goals with a high service level. For this, SST relies on its well-coordinated team of outstanding metallurgists, process experts and AI specialists.