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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Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, 17-20 June 2019.
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Templ, Matthias,
2019.
Applied compositional data analysis.
In:
4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Langkawi, Malaysia, 23-24 April 2019.
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Bütikofer, Stephan; Köchli, Joël; Frick, Kevin; Weber, Christoph,
2019.
Automatisierte Linienplanung im öffentlichen Verkehr.
ETR – Eisenbahntechnische Rundschau.
19(4), pp. 68-72.
Available from: https://doi.org/10.21256/zhaw-17897
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2019.
Workforce planning in airport logistics : a real-world business application.
In:
CMS-MMEI-2019 : collection of abstracts.
16th Conference on Computational Management Science (CMS 2019), Chemnitz, Germany, 27-29 March 2019.
European Working Group on Stochastic Programming and Applications.
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Monstein, Raphael; Capone, Pierluigi; Dettling, Marcel,
2019.
Determination of model structure from flight test with generalized additive models.
Journal of Aircraft.
Available from: https://doi.org/10.2514/1.C035171