Academia Key Notes

Synopsis: State-of-the-art data visualization and visual analytics approaches are key to address the big data challenge and to enhance data analysts’ decision making. In this talk, we will introduce both technologies and highlight our recent research efforts and interests within these areas. We will also provide a short outline of how visualization is related to AI/ML, recent trends and perspectives, as well as our collaboration interests with academia and industry. 

Synopsis: State-of-the-art on-line quality assurance tools in laser based powder bed fusion enable significant increase in robustness in AM processes that allows to increase the quality of AM components and minimize/avoid the need for expensive post-AM quality assurance. Industrial application of such systems requires efficient closed-loop control algorithms, development of which is challenging due to the  high process speed in AM and huge amount of data generated, that requires development of the efficient data mining and machine learning procedures.

Synopsis: Thanks to increased computational power, powerful software modules and a clever use of hardware components such as sensors, we can develop new cutting-edge manufacturing technologies and improve or better control existing manufacturing technologies. In this talk, we will show how research organizations such as Empa use digital tools to develop new manufacturing technologies and how new hardware components, advanced algorithms and integrated software modules can be used to better control advanced manufacturing processes.