Mail ✉ ibt@umwelt-campus.de Contact Trier University of Applied Sciences, Environmental Campus Birkenfeld Institut for Operations and Technology Management (IBT) Campusallee 9925 55768 Hoppstädten-Weiersbach Germany Navigation The

Expertise With over 30 years of experience in the field of particle and agglomeration technology, Prof. Dr.-Ing. Ulrich Bröckel has extensive knowledge. This includes not only the investigation of interparticle interactions but also the physical

Related links Working Group Green Software Engineering Artificial Intelligence research area of the Birkenfeld Institute of Technology GitLab of the Green Software Engineering working group GitLab of the Artificial

Related links Working Group Green Software Engineering Artificial Intelligence research area of the Birkenfeld Institute of Technology GitLab of the Green Software Engineering working group GitLab of the Artificial

Research at the Institute of Operations and Technology Management is integrated into the research focus "Intelligent Technologies for Sustainable Development (ITNE)" at the Trier University of Applied Sciences. The fields of work at IBT

Processes and production methods in the biotechnological and (bio-)pharmaceutical industry are characterized by technical complexity because of a high level of linkage of numerous sub processes. Furthermore economic, ethical, regulatory and

Materialien To give an insight into the possible materials, we show here an excerpt from VDI 3405-3:2015. Selective laser melting - SLM Selective laser melting is basically a powder-based printing process that works with light. Metallic

Back to overview Publications Listing to be added soon Current Projects Completed Projects Head of Research Department Competences The focus of research in the field of industrial robotics and automation technologies is on human-robot

How to find us By train From the train station "Neubrücke (Nahe)" the campus is within walking distance (approx. 200 m). A direct footpath (stairs) leads to the campus area opposite the station forecourt. current information By car The

Back to overview Urschel, B., Begic Fazlic, L., Morgen, M., Machhamer, M., Dartmann, G. and K. -U. Gollmer, "A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors," 2022 Sensor Data Fusion: Trends, Solutions,