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Perovskite solar cells (PSCs) have emerged as one of the most promising candidates for next-generation photovoltaic technology, achieving impressive power conversion efficiencies of more than 26 %. However, their widespread application is hindered by issues related to instability under real-world…

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…

Inspired by neuroscience, this AI approach mimics how the brain builds internal world models through interaction. This shift from passive pattern recognition to active learning aims to create more efficient and transparent AI with a deeper, causal understanding, enabling true planning for next-gen…

We aim to develop a sustainable, scalable framework to boost production performance, enable multiline integration at ABB, and deploy an LLM-based chatbot for intuitive interaction with the solution. All are driving toward zero-defect manufacturing and reduced scrap rates required for green…

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 aims to develop an advanced digital rehabilitation system for post-stroke trunk control, integrating motor learning principles, adaptive difficulty, and innovative VR technologies. The system combines VR exercises with a sensor-equipped mobile seat to capture real-time stability metrics.

The project EZRA aims to integrate all required network equipment of a 5G network into a single compact device. The deployment of the 5G network will become as straightforward as setting up a Wi-Fi router, while delivering a network with the carrier-grade reliability, security, and ultra-low…

This project develops a design method for displacement-insensitive bevel gears. By optimizing the contact pattern and using additive manufacturing with tailored finishing, complex tooth shapes can be produced—independent of conventional processes—enabling broader application and improved gear…

Production of a pilot series of a modularised, cost-effective and retrofittable lift system for the home for people with disabilities.

The MANTA project is developing an innovative MEMS-based nano-mechanical-testing device that enables simultaneous 3-axis (X/Y/Z) force measurement with nanonewton sensitivity and MHz acquisition rates. This will enable advanced applications in semiconductor, pharmaceutical, and materials…

Capture of Bio-data from the air to reveal hidden Dynamics of life, from biodiversity patterns to pests and pathoden risks, transforming invisible biological signals into actionable intelligence.

The project investigates the feasibility of AI-supported conversation simulations in XR for professional communication training. The innovative focus is on capturing and evaluating para- and nonverbal communication signals.

This project proposes an innovative approach to improve product quality through early detection of potential manufacturing defects that could lead to premature device failures. It is based development of machine learning models on manufacturing, testing, and field data.

The aim is to further develop and refine the concept as well as to prepare and implement a pilot project in Winterthur’s Old Town. The project focuses on supporting local retail, promoting sustainable mobility, and enhancing the attractiveness of the city center as a space for shopping and social…

The main goal of this research project is to conduct a comprehensive investigation into AI methodologies for Intrusion Detection Systems, with a strong emphasis on the identification of explainable AI (XAI) techniques that are most suitable for improving interpretability and doing an initial…

SPACER will create high‑power‑density, low‑cost electrodes for redox‑flow batteries using hierarchical, multi‑scale structures. Multiscale modelling will guide pore design, followed by micro‑ (stereolithography), meso‑ (3D printing) and macro‑ (textile) prototyping, EPR validation, and mini‑stack…

This research project is focused on development of an artificial intelligence-based method for optimizing the control functionality of Belimo's HVAC field devices in order to significantly reduce the energy consumption in buildings.

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