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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2022.
Enhancing the calibration of train resistance parameters with power measurements[paper].
In:
Pombo, J., ed.,
Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance.
Fifth International Conference on Railway Technology, Montpellier, France, 22-25 August 2022.
Civil-Comp Press.
Civil-Comp Conferences ; 1.
Available from: https://doi.org/10.4203/ccc.1.31.20
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Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk,
2022.
Deconvolution of NMR spectra : a deep learning-based approach[poster].
In:
Prisner, Thomas, ed.,
EUROMAR 2022 Abstractbook.
European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
pp. 242.
Available from: https://doi.org/10.21256/zhaw-27336
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Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach,
2022.
Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data[paper].
In:
Do, Phuc; Michau, Gabriel; Ezhilarasu, Cordelia, eds.,
Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022.
7th European PHM, Turin, Italy, 6-8 July 2022.
State College:
PHM Society.
pp. 530-540.
PHM Society European Conference ; 7.
Available from: https://doi.org/10.36001/phme.2022.v7i1.3342
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Viganò, Eleonora; Hertweck, Corinna; Heitz, Christoph; Loi, Michele,
2022.
In:
Faact '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.
5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21–24 June, 2022.
New York:
Association for Computing Machinery.
pp. 2293-2301.
Available from: https://doi.org/10.1145/3531146.3534643
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2022.
Scheduling with time-dependent processing time functions of V-shaped linear pieces.
In:
18th Swiss Operations Research Days (Swiss OR Days 2022), Winterthur, Switzerland, 2-3 June 2022.