Smart Steel Technologies
Vladimir Finkelshtein is a seasoned mathematician and engineer with extensive experience in optimization and machine learning, currently serving as the Team Lead Optimization and Machine Learning Engineer at Smart Steel Technologies since July 2021. Previously, Vladimir held the position of Postdoctoral Researcher at the University of Göttingen from September 2017 to July 2021, focusing on homogeneous dynamics and group theory, with a strong record of published research and international collaboration. Additional experiences include a brief tenure as a S2DS Data Science Fellow at Crane Co., where hands-on data science skills were developed, and positions as a Research and Teaching Assistant at the University of Illinois Chicago and Technion - Israel Institute of Technology. Vladimir's academic foundation includes a PhD in Mathematics from the University of Illinois Chicago, a Master's degree from Technion, and a Bachelor's degree also from Technion.
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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.