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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Mohanty, Sharada Prasanna; Czakon, Jakub; Kaczmarek, Kamil A.; Pyskir, Andrzej; Tarasiewicz, Piotr; Kunwar, Saket; Rohrbach, Janick; Luo, Dave; Prasad, Manjunath; Fleer, Sascha; Göpfert, Jan Philip; Tandon, Akshat; Mollard, Guillaume; Rayaprolu, Nikhil; Salathe, Marcel; Schilling, Malte,
2020.
Deep learning for understanding satellite imagery : an experimental survey.
Frontiers in Artificial Intelligence.
3(534696).
Available from: https://doi.org/10.3389/frai.2020.534696
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Templ, Matthias,
2020.
Exploratives Lernen mittels Fallen stellen, Fehler provozieren und Feedback geben.
In:
IAS Tag der Lehre, Wädenswil, 8. Januar 2020.
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Templ, Matthias,
2020.
Functional data analysis in Bayes spaces with an application to spatio-temporal population data.
In:
uRos 2020 Abstracts.
Use of R in Official Statistics 2020 : 8th international conference, virtual, 2-4 December 2020.
Statistik Austria.
Available from: https://uros.hopto.org/
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Chen, Ying; Giudici, Paolo; Hadji Misheva, Branka; Trimborn, Simon,
2020.
Lead behaviour in Bitcoin markets.
Risks.
8(1), pp. 4.
Available from: https://doi.org/10.3390/risks8010004
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Bödi, Linda Helen; Grabner, Helmut,
2020.
Learning to ignore : fair and task independent representations.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-21602