Conferences and Seminars

The free online seminar provides insights into various application areas of OCT in industry. In particular, about the development of a high-resolution OCT system for thin films and the application of OCT for additive and subtractive manufacturing.

The online seminar will give an overview of the possibilities of using smart fiber optic sensors in components to increase their lifetime. First, the measuring principle of fiber optic structure health monitoring including different measuring methods as well as the current state of research will be presented. In the further course, possible integration options and the use for different industrial application areas will be discussed.

Look forward to a varied weekend full of challenges, networking and exciting insights into our work. Together with our staff and our partners from the International Center for Networked, Adaptive Production, you will face the challenges of Industrie 4.0 in a real manufacturing environment and use your coding knowledge, technical skill and team spirit to solve them.

Under the overall topic “Empower Green Production” AWK’23, which will take place on May 11 and 12, 2023, in a hybrid event format both at the Aachen Eurogress and digitally, will show how new technologies and concepts for more crisis-resistant and at the same time green production could look in the future, overcoming dependence on conventional energy suppliers.

In order to make full use of the potential of your data, this seminar teaches essential methods of data preparation. Based on a concrete production use case, data is prepared in hands-on sessions to gain knowledge of how to achieve high data quality. Thus, the necessary steps to achieve high data quality consisting of integrating, handling missing data and outliers, scaling features, encoding data, reducing dimensions and sampling data are discussed and implemented.

The 9th International Conference "Polymer Replication on Nanoscale" (PRN) will again take place in Aachen, Germany, on June 1 and 2, 2023! The conference series, which has already been hosted since 2023 at alternating research locations in Denmark, Switzerland and Germany, focuses on methods for more efficient production of functional nanostructured surfaces and presents possible solutions. The program includes plenary lectures by invited keynote speakers as well as a number of scientific contributions and posters determined by the call-for-paper selection process. The two-day event will be framed by a social program of guided tours and an evening networking event. The program includes plenary lectures by invited keynote speakers as well as a number of scientific contributions and posters determined by the call-for-paper selection process. The two-day event will be framed by a social program of guided tours and an evening networking event.

During the seminar, you will learn, which steps are necessary to implement AI in production using concrete use cases as examples. The individual steps are accompanied by practical exercises in which you as a participant preprocess data sets, train ML algorithms and evaluate the results of these models yourself using the Python programming language.

The online seminar will give you insights into different approaches to virtualization: virtual machines, Kubernetes, containers and Kata containers. You will be taught concrete use cases in industrial production and the respective architectures. Finally, all participants will have the opportunity to ask individual questions. In addition, you will receive the presentation slides or a script with equivalent content after completion of the online session.

In this seminar, we provide a brief introduction to the components of an embedded system for IoT sensors, focusing on microcontrollers and communication media. We will also provide you with a methodology for selecting the right components for building the IoT sensor system.

Within seven modules, the most relevant phases and principles for applying ML and AI in production are presented. In every step, a comprehensive methodological overview and hurdles to be overcome within an AI implementation are presented. The theoretical sessions are further accompanied by practical exercises through hands-on programming modules, in which the participants are implementing ML models.