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Institute for Data Science

AI-based methods for the benefit of society and economy.

Our interdisciplinary computer science institute develops artificial intelligence methods for projects that address real societal challenges. In collaboration with external partners, we develop new AI-based solutions in various sectors of society, including the economy, health, environment, and space sciences.

Our researchers teach in the Data Science and Computer Science programs. This provides students with the opportunity to participate in top-tier, international research projects.

Competencies

Machine Learning

Classification and regression models, predictive modeling, time series analysis, recommendation systems, deep learning

Natural Language Processing

Topic modelling, sentiment analysis, text analysis and generation, speech recognition

Exploratory Data Science

Explorative data analysis, descriptive statistics, data visualization, analysis of (social) networks

High Performance Computing

Parallelisation on distributed systems, performance optimisation in the use of GPUs, hybrid computing, design and construction of infrastructures for data management and processing

Image Analysis and Image Processing

Image reconstruction, image segmentation, object recognition, data compression and dimension reduction

Projects from the field of cooperation with business and industry

Pioneering Swiss Building Renovation with Computer Vision and Digital Twins

Buildings in Switzerland use about 40% of the country's energy. We are developing a system to create digital models of physical buildings to make the ...

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Marvel: Real-time pollen information

Together with our project partners, we develop zero-shot learning and other machine learning tools for recognising pollen particles anywhere in the world. As a ...

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Enhancing Third Party Patent Monitoring with Machine Learning and Natural Language Processing

Application of state-of-the-art NLP models increases efficiency of third party patent monitoring in the nutrition and bioscience industry.

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Projects from the fields of astroinformatics and space sciences

SKACH - The SKA Switzerland Consortium

When you build the world’s largest telescope, you end up collecting an astronomical amount of data. We help the international mega-science project SKAO manage ...

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STIX for Solar Orbiter

The Spectrometer / Telescope for Imaging X-rays (STIX) is an X-ray telescope that makes images and spectra of solar explosions called flares. It is one of the ...

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Euclid Space Telescope – dark energy and dark matter

A software infrastructure that enables efficient and robust pipeline processing of the vast amount of data in distributed processing sites.

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Projects from the field of digital society

SySTEM2020: Connecting Science Learning Outside The Classroom

Research participant recruitment, data collection and mapping STEAM initiatives in Switzerland.

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FHNW Myosotis Garden

Playing games with elderly people can be fun. It can facilitate communication between people from different generations.

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Speech Recognition for Swiss German

The FHNW Institute for Data Science is working on speech recognition technology to transform speech in various Swiss dialects to Standard German text.

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Our lab infrastructure

The Institute for Data Science has state-of-the-art laboratory and simulation infrastructure. Discover our labs!

Our lab infrastructure

FHNW School of Engineering, Brugg-Windisch

FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Engineering Bahnhofstrasse 6 CH - 5210 Windisch
More information about the location