Find research projects

This project leverages AI to automate audit workflows. It uses Prewen's anonymization software to mask client data in a context-preserving manner before every LLM call, enabling AI deployment while fully upholding professional confidentiality obligations. As an initial use case, we are developing an…

The E-Mobility Study in the city of Zurich examines, through a standardized survey of car-owning residents of the city of Zurich, which barriers and obstacles prevent them from purchasing an electric car and which factors encourage the transition. The role of public charging stations is also…

AirTwin DPP develops an AI-powered digital twin for pneumatic systems in machine tools. It detects and localizes compressed-air leaks in real time and reduces consumption by 5–10%. Via the Asset Administration Shell and Digital Product Passport, it generates standardized, auditable energy and CO₂…

The ELAKE project is establishing a cross-border electric boat pilot route on Lake Constance, and the ZHAW is conducting scientific research into the charging infrastructure, user behavior, and new business models.

Collaborative project between ZHAW and SymBioVault GmbH investigating methods for / the collection, / safety screening, / multi-omics analysis and / long-term cryopreservation of autologous human microbiome samples. The study aims to validate technical feasibility and sample viability for…

We investigate how movement, behavioural, and biometric data can be translated into personalised, evidence-based coaching interventions. The project establishes the scientific and technical foundation for adaptive AI coaching that supports sustained healthy behaviour.

Wildfires have become a rapidly escalating global threat, with major economic, ecological, and social consequences. Single events can cause multi-billion losses, and climate change is increasing the frequency and intensity of fire outbreaks through higher temperatures, prolonged dry periods, and…

A structured inventory of potential use cases is developed for onboard satellite AI compute, organised across application domains and AI capability types, with key system assumptions and qualitative assessments of feasibility, novelty, and impact. Selected use cases are then refined into detailed,…

Translated texts are inadequately discoverable in library catalogues, prolonging a long tradition of their invisibilisation that ultimately undermines multilingual open science. This project will identify data management and retrieval practices that feed into “discovery layers”, with the aim of…

QUARTR will propose performance models for DME navigation to support RNP. This will enable the operation of RNP procedures during major interference events against GNSS.

The project develops an AI-supported solution to make handwritten children’s vaccination records digitally usable and available in a standards-compliant format.