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 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
Smart Services and Operations
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
Team IDP
Publikationen
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De Martinis, Valerio; Huber, Marius; Herrmann, Thomas; Wüst, Reimond Matthias,
2023.
Diskriminierungsfreie Ansätze für die Tourenplanung des Lokpersonals.
ETR – Eisenbahntechnische Rundschau.
2023(4), pp. 2-7.
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Barth, Linard; Schweiger, Lukas; Galeno, Gianluca; Schaal, Nikolas; Ehrat, Matthias,
2023.
Value creation with digital twins : application-oriented conceptual framework and case study.
Applied Sciences.
13(6), pp. 3511.
Available from: https://doi.org/10.3390/app13063511
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Bütikofer, Stephan; Wüst, Reimond Matthias,
2023.
Modelling approaches for travel chains of customers (in LinTim).
In:
Hot Topic Workshop: Integrated Planning in Public Transport, Münchweiler, Germany, 6-8 March 2023.
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Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt,
2023.
The role of data scientists in modern enterprises : experience from data science education.
SIGMOD Record.
52(2), pp. 48-52.
Available from: https://doi.org/10.21256/zhaw-27357
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Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D.,
2023.
Deconvolution of 1D NMR spectra : a deep learning-based approach.
Journal of Magnetic Resonance.
347(107357).
Available from: https://doi.org/10.1016/j.jmr.2022.107357