This project develops a digital spatio-temporal MCDA tool integrating GIS, computational methods, and real-time data to support informed decisions. Case studies and stakeholder input will assess its effectiveness in managing dynamic, real-world challenges.

The project provides for the following: The ParticlePAT4Mills project intends to integrate real-time particle-size monitoring and control into wetmilling equipment. With those next generation wet-mills, grinding processes for solids will become more efficient in terms of cycle time, energy…

Automation of software processes to secure and expand markets and increase efficiency analyses the feasibility of automating processes in existing software systems.

For the further development of an intraoral scanner (IOS), various AI stereo matching algorithms are being examined for their suitability for use in the product. The aim is to identify a suitable model for training and implementation, to convert it to TensorRT and to optimize the real-time…

Architecture has a major influence on the climate and is currently looking for solutions. However, this is not new: topics such as re-use or regenerative materials were already being investigated and incorporated into experimental buildings after the Second World War. This project aims to…

The Swiss Integration Agenda requires refugees to actively integrate into local social structures and neighborhoods within seven years of receiving their asylum decision. But how can this be achieved when a large proportion of refugees perceive their own health status as poor and the asylum centre…

The goal of the project is to strengthen surveillance of antimicrobial resistance in animals and food products, with a focus on international travelers. The project will explore (and quantify the uncertainty of) using AI-based text and image mining techniques to extract data on the prevalence of…

The TRAI project examines how artificial intelligence (AI) is transforming academic work, particularly when students write their Bachelor’s theses.

This project aims to develop and evaluate AI applications to support evidence-based, unbiased decision making in child protection. Using administrative data and case notes, we will build predictive models that estimate intervention success, ensure algorithmic fairness, and explore practitioner…

The objective of the proposed project is to follow the fate of essential fatty acids from the primary producer through three trophic levels of a model freshwater food chain. This work is carried out by three research partners from Bulgaria, Romania, and Switzerland, which all contribute their…

The development of competence grids serves as the basis for a differentiated and competence-oriented assessment system that can contribute to the continuous improvement of degree programs. With a suitable feedback system, program heads, lecturers and students receive central information for focusing…

Both internationally and in Switzerland, the mental distress of youth has increased in recent years. Researchers are investigating risk and protective factors for mental (ill) health. UNICEF has commissioned the ZHAW to review the international and Swiss literature on this topic.

ViscoControl employs Residual Reinforcement Learning to create novel control algorithms to compensate for the viscosity fluctuation of recycled plastic in injection molding. The combination of stability with adaptive, self-learning capabilities will boost the processing of recycled materials. This…

Development of a fuel-flexible, modular burner for retrofitting gas turbines. The aim of the project is to use the scalable burner to significantly improve the efficiency, operating behavior and emissions of gas turbines.

By combining machine learning and computer vision methods, existing products consisting of elements of a modular system will be captured. Recognized product modules can then be reconfigured, repaired, or refurbished to support a circular business strategy.

This project aims to sensibly improve the safety and success rate for long-horizon tasks of autonomous robots leveraging GenAI “robotic brains” (e.g. LLMs, VLMs) in unstructured environments.

Background: The proposed project aims to explore when and why local administrative leaders consider co-production to be an important governance approach and the conditions needed for co-produced services to be successful. Co-production refers to arrangements in which a municipality’s…

This project involves a feasibility analysis of a video transmission method capable of supporting video formats up to 8K at 60 frames per second, with ultra-low latency not exceeding 17 milliseconds. In addition, various solution approaches are evaluated to achieve precise synchronization between…

A scientific experiment will be used to test the suitability of AR technology in the form of headsets for training air traffic controllers. If the results are positive, the quality of air traffic controller training can be improved.