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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Eidgenössisches Departement für Umwelt, Verkehr, Energie und Kommunikation UVEK; Bundesamt für Strassen, eds.,
2016.
Massnahmen und Potenziale im Bereich Verkehrsteilnehmende : Forschungspaket VeSPA Teilprojekt 1-M.
Zürich:
Schweizerischer Verband der Strassen- und Verkehrsfachleute (VSS).
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Locher, René,
2016.
IDP Environmetrics
; 6.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-1057
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2016.
Automated workforce scheduling in airport logistics.
In:
ICCL16 - 7th International Conference on Computational Logistics, Lisbon, Portugal, 2016.
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Templ, Barbara; Fleck, Stefan; Templ, Matthias,
2016.
Change of plant phenophases explained by survival modeling.
International Journal of Biometeorology.
61(5), pp. 881-889.
Available from: https://doi.org/10.1007/s00484-016-1267-z
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Fačevicová, Kamila; Hron, Karel; Todorov, Valentin; Templ, Matthias,
2016.
Compositional Tables Analysis in Coordinates.
Scandinavian Journal of Statistics.
pp. 962-977.
Available from: https://doi.org/10.1111/sjos.12223