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
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
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Team IDP
Publikationen
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Hecht, Bert; Sick, Beate; Wild, Urs P.; Deckert, Volker; Zenobi, Renato; Martin, Olivier J. F.; Pohl, Dieter W.,
2000.
Scanning near-field optical microscopy with aperture probes : fundamentals and applications.
The Journal of Chemical Physics.
112(18), pp. 7761.
Available from: https://doi.org/10.1063/1.481382
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Prummer, Michael; Hübner, Christian G.; Sick, Beate; Hecht, Bert; Renn, Alois; Wild, Urs P.,
2000.
Single-molecule identification by spectrally and time-resolved fluorescence detection.
Analytical Chemistry.
72(3), pp. 443-447.
Available from: https://doi.org/10.1021/ac991116k
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1999.
Detection of compatible turning-points and signal-extraction of non-stationary time series[paper].
In:
Operations Research Proceedings 1998.
International Conference on Operations Research, Zurich, 31 August - 3 September 1998.
Heidelberg:
Springer.
pp. 293-299.
Operations Research Proceedings ; 1998.
Available from: https://doi.org/10.1007/978-3-642-58409-1_29
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Breymann, Wolfgang; Ghashghaie, Shoaleh,
1999.
Hierarchical structures in financial markets : a "turbulent approach" to stochastic volatility[paper].
In:
Kertész, János; Kondor, Imre, eds.,
Econophysics: an emergent science : proceedings of the 1st workshop on econophysics, Budapest, 1997.
1st International Workshop on Econophysics, Budapest, 21-27 July 1997.
Dordrecht:
Kluwer.
pp. 92-106.
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Dieterich, Wolfgang; Dürr, Oliver; Pendzig, Peter; Bunde, Armin; Nitzan, Abraham,
1999.
Percolation concepts in solid state ionics.
Physica A: Statistical Mechanics and its Applications.
266(1-4), pp. 229-237.
Available from: https://doi.org/10.1016/S0378-4371(98)00597-4