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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Stadelmann, Thilo; Keuzenkamp, Julian; Grabner, Helmut; Würsch, Christoph,
2021.
The AI-Atlas : didactics for teaching AI and machine learning on-site, online, and hybrid.
Education Sciences.
11(7), pp. 318.
Available from: https://doi.org/10.3390/educsci11070318
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2021.
IISE Transaction Award für Artikel zur algorithmischen Laufwege-Optimierung am Fliessband.
ZHAW Industrie 4.0.
Available from: https://blog.zhaw.ch/industrie4null/2021/06/01/iise-transaction-award-fuer-artikel-zur-algorithmischen-laufwege-optimierung-am-fliessband/
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Zimmermann, Anja; Meierhofer, Jürg; von dem Berge, Karina; Schweiger, Lukas,
2021.
Servicekultur als Katalysator für Serviceinnovationen.
ServiceToday.
35(2), pp. 72-73.
Available from: https://doi.org/10.21256/zhaw-22653
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2021.
Line side placement for shorter assembly line worker paths.
In:
IISE Annual Virtual Conference & Expo 2021, 23-25 May 2021.
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Meierhofer, Jürg; Züst, Simon; Lu, Jinzhi; Schweiger, Lukas; Kiritsis, Dimitris,
2021.
Enabling decision support services in industrial ecosystems by digital twins[paper].
In:
Bigdeli, Ali; Baines, Tim; Rapaccini, Mario; Saccani, Marco; Adrodegari, Federico, eds.,
Proceedings of the Spring Servitization Conference 2021.
Spring Servitization Conference 2021 : A Pathway Towards A Resilient, Productive And Sustainable Future, virtual, 10-12 May 2021.
Birmingham:
Aston University.
pp. 138-146.