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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Meierhofer, Jürg; Stucki, Melissa,
2024.
Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.
asut-Bulletin.
2024(01).
Available from: https://asut.ch/asut/bulletin/view.xhtml?bulletinId=52&articleId=831
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Wulf, Jochen; Meierhofer, Jürg,
2024.
Wie LLMs die Automatisierung im Kundendienst fördern.
ServiceToday.
38(Sonderausgabe 2024), pp. 82-83.
Available from: https://bc-production.pressmatrix.com/de/profiles/3df31a994fc2/editions/2ed85b567c8dfa546626/pages/page/42
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Ulmer, Markus; Zgraggen, Jannik; Goren Huber, Lilach,
2024.
A generic machine learning framework for fully-unsupervised anomaly detection with contaminated data.
International Journal of Prognostics and Health Management.
15(1).
Available from: https://doi.org/10.36001/ijphm.2024.v15i1.3589
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Wulf, Jochen; Meierhofer, Jürg,
2024.
Automation of technical customer support with large language models[poster].
In:
9. F&E Konferenz zu Industrie 4.0, Zürich, Schweiz, 24. Januar 2024.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-33328
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Stucki, Melissa; Meierhofer, Jürg; Gal, Barna; Gallina, Viola; Eisl, Stefanie,
2024.
Data driven value creation in industrial services including remanufacturing[paper].
In:
5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), Lisbon, Portugal, 22-24 November 2023.
Elsevier.
pp. 2240-2248.
Available from: https://doi.org/10.1016/j.procs.2024.02.043