No Risk is Fun - Traditional optimization methods based on a priori functions
Institutskolloquium
- Date: Dec 6, 2024
- Time: 10:30 AM - 12:00 PM (Local Time Germany)
- Speaker: Dr. Raphael Kiesel
- Raphael Kiesel is working as Senior Vice President, Business Unit Lighting at ARRI, the global market leader for camera and lighting technology for the media and entertainment industry. Prior to that, he worked as a Senior Vice President, Quality Management in the same company. Raphael Kiesel studied Industrial Engineering and Mechanical Engineering at RWTH Aachen University, as well as UW Madison-Wisconsin. After his studies, he worked as a research assistant and group leader at Fraunhofer IPT and conducted a PhD in Production Technology with focus on Quality Management. In parallel, he completed an MBA at Collège des Ingenieurs in cooperation with Siemens.
- Location: IPP Garching und Greifswald
- Room: Günter-Grieger Lecture Hall (Greifswald) and Zoom
- Host: IPP
- Contact: dmitry.moseev@ipp.mpg.de
When solving complex problems, we tend to look for scalable laws that are derived from existing data (a-posteriori). This approach seems intuitive, but can lead to suboptimal designs in complex systems. Approaches based purely on past data run the risk of overlooking causal relationships. However, complex problems require proactive modeling and not just retrospective adaptation. A-priori principles provide a sound basis by introducing predefined laws and systematic considerations. They enable potential solution spaces to be structured and navigated in a targeted manner. The presentation will use various practical examples to illustrate why the use of a-priori principles is efficient and effective in solving complex problems. It will further present some methodologies that can be used in IPPs daily work.