Norman Günther

Mr. Günther is a mechanical engineer specializing in assistance systems and production optimization in manufacturing. He is the head of Mittelstand-Digitalzentrum Spreeland at TH-Wildau and has expertise in human-centered production approaches and socio-cyberphysical production systems. His research focuses on using new technologies to improve production processes and increase efficiency, and he has experience in process modelling and developing user-friendly solutions for manufacturing businesses.

Dr. Ron van de Sand

Dr. van de Sand is the deputy head of the research group IC3 and is active in the field of Machine Learning/AI with special focus on industrial applications, such as Predictive Maintenance, Robotics and Production Optimization. His expertise further includes Python (including frameworks as Scikit-Learn, Pytorch, Keras/Tensorflow, Scipy, Transformers, etc), Javascript/Typescript/React, REST/GraphQL APIs, SQL/NoSQL databases, etc. He also has basic knowledge of several AI fields, such as Natural Language Processing, Graph Theory and Computer Vision.

Prof. Alexander Stolpmann

Prof. Dr. Alexander Stolpmann holds the professorship for image processing in industrial production at the Wildau University of Technology (TH Wildau). His field of research is intelligent image processing systems using soft computing methods such as neural networks and genetic algorithms.

Prof. Jörg Reiff-Stephan

Prof. Dr.-Ing. Jörg Reiff-Stephan if the vice-president of the Wildau University of Technology (TH Wildau), the head of the Institute for Cyber-physical Production Systems (iCPPS) and of the research group IC3 and founding member of the An-Institute for Materials, Development and Production (iMEP) at the TH-Wildau . His research work is in the field of information acquisition and processing as well as its use in intelligent processes.

3D-Druck Next Level Workshop

11.07.2023

Long night of business (Lange Nacht der Wirtschaft LDS)

30.06.2023

With the roadshow MOBILE DIGITAL FACTORY, you will get to know diverse application examples in the field of digitalisation and artificial intelligence in the manufacturing industry. 
Immerse yourself in the exciting world of innovative technologies and discover the opportunities they offer for your company.
Prior registration is not required - just come along and be part of it!

More about the event: https://t1p.de/e3piw
More about LONG NIGHT OF BUSINESS: https://t1p.de/f0g05

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