Our research focuses on topics relevant to industry and society. Find out more about what we’re doing in our diverse research projects.
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Automatic Data Selection for Machine Learning based Anomaly Detection
We develop and test a novel method for a fully unsupervised selection of appropriate training data for anomaly detection using machine learning methods.
Good practices for responsible development of AI-based applications in healthcare
This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices. ...
Investigation of the Train driver productivity and job satisfaction
The complex, internal relationship between rail schedules and staff rotation is here addressed for a complete analysis of the current performance of train drivers. The potential for performance improvement in relation to the constraints imposed by the timetable and the corresponding shift plans (e.g., use of buffer ...
Novel high-speed, low latency distributed data link for precision measurement systems in demanding environments
SPECS Zurich GmbH provides measurement systems for scanning probe microscopy and quantum transport applications. During this project, a new plug&play-capable high- speed serial interface with ultra low latency and optical transmission shall be developed, such that it can be used in demanding environments such as ...
Tech4SDG – Guiding Swiss Asset Managers towards High-Impact SMEs
High-impact, social SMEs remain broadly unknown to impact investors and asset managers due to limited information and identification problems. To overcome the asymmetry of information and provide reliable guidance to Swiss asset managers, we aim to create an automated big data platform for the identification, ...
Hadengue, Bruno; Morgenroth, Eberhard; Larsen, Tove A.; Baldini, Luca,
Available from: https://doi.org/10.1016/j.apenergy.2021.117677
Fiorentini, Massimo; Baldini, Luca,
Applied Thermal Engineering.
Available from: https://doi.org/10.1016/j.applthermaleng.2021.117518
Tzinnis, Efstratios; Baldini, Luca,
Available from: https://doi.org/10.1016/j.apenergy.2021.117455
Cunningham, Clare; Hall, Christopher J., eds.,
Vulnerabilities, Challenges and Risks in Applied Linguistics.
2021(54), pp. 11.
Available from: https://impact.zhaw.ch/detail/die-zukunft-gehoert-der-blended-university?tx_magazine_main%5BarticleSequence%5D=739%2C738%2C717%2C716%2C756%2C710%2C740%2C741%2C711%2C751%2C752%2C753%2C701%2C703%2C744%2C748%2C749%2C746%2C745%2C723%2C724%2C719%2C736%2C737%2C722%2C731%2C734%2C735%2C696%2C697%2C700%2C704%2C640%2C669%2C620%2C681%2C621%2C643%2C642%2C622%2C625%2C682%2C612%2C630%2C685%2C611%2C672%2C670%2C655%2C683%2C659%2C661%2C629%2C627%2C673%2C636%2C667%2C662&tx_magazine_main%5BarticleSequenceHash%5D=fb0f4959f94860ae7dfd115c13fc7de8ef35c44d&cHash=2bf7abeeb68ff30ae6f2e293ff9b344a