Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups
Advanced scientific tools for solutions in the financial industry
Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques
Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems
Generating insights, creating value and fostering innovation in business processes and services
Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
News
Team IDP
Publikationen
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Goren Huber, Lilach; Notaristefano, Antonio,
2022.
Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall Photovoltaikanlagen.
fmpro service.
2022(3), pp. 24-25.
Available from: https://doi.org/10.21256/zhaw-25292
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Gioia, Stefano; Bütikofer, Stephan; Wüst, Reimond Matthias,
2022.
In:
22nd Swiss Transport Research Conference (STRC), Ascona, Switzerland, 18-20 May 2022.
Institute for Transport Planning and Systems, ETH Zurich.
pp. 18.
Available from: https://www.strc.ch/2022/Gioia_EtAl.pdf
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Fröhlich, Klemens; Brombacher, Eva; Fahrner, Matthias; Vogele, Daniel; Kook, Lucas; Pinter, Niko; Bronsert, Peter; Timme-Bronsert, Sylvia; Schmidt, Alexander; Bärenfaller, Katja; Kreutz, Clemens; Schilling, Oliver,
2022.
Nature Communications.
13(1), pp. 2622.
Available from: https://doi.org/10.1038/s41467-022-30094-0
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Meierhofer, Jürg; Kugler, Petra; Vogt, Helen; Dobler, Martin; Benedech, Rodolfo Andres; Strittmatter, Marc; Treiterer, Manuel,
2022.
In:
Bigdeli, Ali; Rapaccini, Mario; Saccani, Nicola; Adrodegari, Federico; Baines, Tim, eds.,
Achieving Net-Zero through Servitization.
Spring Servitization Conference (SSC), Florence, Italy, 9-10 May 2022.
Birmingham:
Aston University.
pp. 86-94.
Available from: https://doi.org/10.21256/zhaw-25047
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Schweiger, Lukas; Meierhofer, Jürg; Barbieri, Cosimo; Rapaccini, Mario,
2022.
End-to-end digital twin approach for near-real-time decision support services[paper].
In:
West, Shaun; Meierhofer, Jürg; Mangla, Utpal, eds.,
Smart Services Summit : smart services supporting the new normal.
Fourth Smart Services Summit, Zurich, Switzerland, 22 October 2021.
Cham:
Springer.
pp. 67-75.
Progress in IS.
Available from: https://doi.org/10.1007/978-3-030-97042-0_7