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Watt Counts: This project addresses the rapidly growing energy consumption of LLM (Large Language Models) inference for SMEs. The goal is to develop a benchmark, a dataset, and a model to optimize energy efficiency, cost, and result quality.

This project will be carried out in collaboration with InCephalo, a preclinical-stage biotech company developing innovative therapies for CNS diseases. It focuses on further advancing the companies' proprietary C-Lock platform, mediating prolonged retention of therapeutic molecules within the CNS…

The Language Data Across Disciplines project aims to strengthen Open Research Data (ORD) practices in Switzerland for all researchers working with language data. By bridging disciplinary boundaries, LaDaD promotes FAIR-aligned, ethical, and sustainable approaches to collecting, processing,…

We develop a cloud platform and workflow characterising graphene and functionalised graphene surfaces based on images obtained from transmission electron microscopy (TEM) and scanning electron microscopy (SEM) including image data management and processing following by feature extraction based on…

Young women are disproportionately affected by mental health problems and encounter barriers to accessing the healthcare system. "Connect" is developing an integrated, interprofessional, and participatory solution in the Winterthur region to raise awareness of available services and strengthen early…

In this project we develop an AI-based screening pipeline of thiol-ene/yne click reactions for self-healing polymers. Combining semi-empirical calculations with density functional theory and machine learning, we identify optimal reaction pairs for sustainable materials design.

AVATAR lets visitors control a humanoid robot in VR, seeing through its eyes and manipulating objects via intuitive, body-based teleoperation.

Reducing food losses – data analysis and further development of tools to implement the action plan against food losses and waste in Switzerland

ADEPT (Adaptive Dimensionality-Reduced Encryption Protocol for Time-Series Sensors) investigates privacy-preserving encryption methodology for resource-constrained IoT devices by replacing computationally expensive fully homomorphic encryption with lightweight dimensionality reduction techniques…

Sustainable hydrogels from polyester waste efficiently remove emerging contaminants like PFAS, microplastics and pharmaceuticals from wastewater.

Pulmonary artery stenosis is a neonatal condition often linked to congenital heart disease. Patch augmentation may induce collapse through a lack of structural mechanical and fluid mechanical compatibility between patch and native tissue. This project analyzes pericardial microstructure and…

The primary objective of the SePRIO project is to investigate and integrate security and privacy into distributed learning techniques, with a focus on health use cases involving IoT, and to analyze the limitations and trade-offs. The project will lead to an open-source software asset,…

The project has two objectives: / Develop a novel diagnostic approach for lymphedema using microwave-based dynamic thermal imaging, specifically Active Microwave Thermography (AMT). / Design and fabricate polymer-based skin phantoms, perform microwave-stimulated thermal measurements, and analyze…

Development of an innovative hydrogel microbial material for removing nutrients and pollutants from wastewater inclusive validation.

PROFOREST-DSS develops a free, web-based decision-support system combining ForClim simulations and ProMCDA to transparently assess trade-offs, risks, and adaptive forest management options under climate change.