Research Centre for Digital Labs & Production
The Research Centre for Digital Labs & Production connects people, spaces and processes in the life sciences. From mixed-reality digital twins via progressive web applications to machine-to-machine interfaces, we connect physical and digital worlds through data and analytics.
About us
The centre combines specific methodological and technological expertise in the digitization and virtualization of laboratories, processes and production facilities in the life sciences. This includes, on the one hand, the networking of devices, processes and people using interfaces, data pipelines and data management and, on the other hand, the mapping of physical systems and infrastructures to models and simulation environments. Digital twins are a good example of how these topics interact.
Three research groups are active in this field.
Simulation & Optimization
Strategic, tactical and operational process optimization using modelling and simulation tools are the focus of the research group. This includes the modelling and simulation of the dynamics of heterogeneous, complex systems as well as the investigation, optimization and control of their behaviour.
Group leader: Prof. Dr. Lukas Hollenstein | Learn more about the research group Simulation & Optimization
Data Management & Visualization
The research group specializes in the development of systems for data aggregation, transformation and management. Processing pipelines are designed and implemented to take data from their sources (e.g. graphic user interfaces, wearable sensors, measuring probes) through preparation steps (incl. quality control and homogenization) to storage solutions, analysis and visualization of results and insights.
Group leader: Dr. Robert Vorburger | Learn more about the research group Data Management & Visualization
Edge Computing & Interfaces
The research group combines dynamic physical structures with digital environments using sensor, actuators, and edge computing. The group supports automation and decentralized intelligent data processing in the life sciences by connecting people, machines, and contexts.
Group leader: Dr. Christian Glahn
Teaching Activites
The centre offers courses at BSc and MSc level in the fundamentals of data science, in mathematical and physical modelling (with a focus on simulation-based process optimization), in data management (with a focus on database technologies and visualization), and in physical computing (sensors and actuators) as well as cloud and edge computing.
The specialization Digital Labs & Production of the BSc ADLS is coordinated by this centre and corresponding Bachelor and Master theses are offered.
- Bachelor of Science (ZHAW) in Applied Computational Life Sciences
- Master of Science in Life Sciences - Specialisation Applied Computational Life Sciences
In addition, the centre is involved in programs and activities in the field of science education beyond the university level and offers continuing education courses.
Projects
As part of the reorganization of the research database, the previous lists of research projects are no longer available. Die Zukunft geht in Richtung Volltextsuche und Filterung, um bestmögliche Suchergebnisse für unsere Besucher:innen zur Verfügung zu stellen.
In the meantime, you can easily find the projects via text search using the following link: «To the new search in the project database»
Publications
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Burkhard, Marcel; Kauf, Peter,
2015.
Forschung und Praxis : optimierte Absatzprognosen für den Lebensmittelhandel : Tagungsreferat.
In:
Best Practice in der Lebensmittellogistik, Hamburg, Deutschland, 1. September 2015.
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Lötscher, Adrian; Hollenstein, Lukas,
2015.
Komplexe Anlagen einfach simuliert : Past, Present, Future.
Transfer.
2015(3), pp. 4.
Available from: https://doi.org/10.21256/zhaw-2052
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Cardona, Wilmar; Hollenstein, Lukas; Kunz, Martin,
2014.
The traces of anisotropic dark energy in light of Planck.
Journal of Cosmology and Astroparticle Physics.
2014(7), pp. 032.
Available from: https://doi.org/10.1088/1475-7516/2014/07/032
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Nef, Annina; Glüge, Stefan; Ott, Thomas; Kauf, Peter,
2014.
Causality detection in complex time dependent systems examplified in financial time series [paper].
In:
Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014).
Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014.
IECE.
pp. 176-179.
Available from: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf
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Zbinden, Erich; Eggel, Thomas,
2014.
Transfer.
2014(1), pp. 4.
Available from: https://doi.org/10.21256/zhaw-2781