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The 1st Hybrid Modeling Summer School was held on the 4th & 5th of September 2013. Consequently, the registration for the event is closed. The next Hybrid modeling summer school will be held in 2015. If you want to be informed once more information is available, please leave your contact information. Note we do NOT share the information with 3rd parties.

 

Background:

Hybrid models exhibit a number of advantages over other prevailing modeling concepts. The main advantage is a higher benefit/cost ratio to solve complex problems, which is a key factor for applied research. Yet hybrid models are rarely applied in both academia and industry. Hybrid models incorporate knowledge from different domains, e.g. process data and mechanistic knowledge. This incorporation is represented in hybrid models as combinations of parametric and nonparametric models, where parametric models are determined a priori on the basis of knowledge about the system and nonparametric models are determined exclusively from data. Hybrid modeling allows the exploitation of underused potential in several areas, such as Life Science or Chemical Engineering, and in turn provides the basis to enhance current process operation in an efficient way.

Objectives:

The objectives of this course are to:

  1. Provide detailed knowledge about the benefits and challenges of hybrid modeling, such that the participant is able to judge case by case the merits of a hybrid model application; and
  2. Enable the participant to independently develop and apply hybrid models.

 

Topics covered:

The topics, covering both hybrid modeling fundamentals and their application, will be presented by leading experts. While the fundamental part covers questions on “How to develop a hybrid model?”, “How to represent and identify unknown parts?”, “How to enhance the model quality by design of experiments?” and “How to compare different hybrid models?”, it will also let the participants in on tips and tricks for the efficient development of high quality hybrid models. Hands on training will support the learning process and result in a profound understanding of the fundamentals. The practice part covers the application of hybrid modeling for typical process systems engineering and its utilization to support the Quality by Design concept, as promoted by the Process Analytic Technology initiative (PAT). Hands on training will substantiate the presented topics, and leave the participants with the necessary knowledge and skills to try hybrid modeling on their own.

Participation:

Each participant is given the opportunity to present his/her work, in a concise and engaging three-minute pitch-presentation. Pitching will enable an increased knowledge exchange among participants and allow the lectures to direct the participants towards interesting studies and or facilitate their advice/feed-back.