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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 shoulder is one of the most mobile but also one of the most complex joints in the human body. The muscles of the rotator cuff control its movement and stability. This project is developing an adaptive method that measures the effect of these muscles more precisely in order to create a better…

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…

Employers and their HR departments are looking for better assessment of candidates based on real proven skills. Paper certificates lack the detail and are also easy to forge. Digital certificates, especially in the form of (micro)credentials, solve this problem. Education institutions now compete…

The Living Lab develops and pilots an interdepartmental sustainability module in which students from Social Work, Architecture, and Environmental Sciences work together on real-world challenges and learn to address complex issues through the integration of diverse perspectives.

The project analyzes complaints received by the Independent Complaints Office for the Elderly (UBA) and examines patterns of intervention and barriers to access with the aim of contributing to the further development of the services offered by the Independent Complaints Office for the Elderly.

OrthoSense by Leg&airy revolutionizes ankle-foot orthotics by turning subjective brace fitting into data- driven care. Embedded sensors capture pressure data, enabling AI driven biomechanical algorithms to tailor each brace’s shape and fit to the individual patient while enabling patients tracking.

This project aims to systematically investigate and mitigate the effects of partial shading, bridging the gap between cell-level behavior and system-level performance.

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…

The innochque project named "Feasibility study on novel tilt-wing control allocation strategy" aims to enhance the Dufour Aero-200 UAV flight control systems by evaluating novel control allocation methods, which improves actuator use, energy efficiency during transition flight. ZHAW will implement,…

The SALVE project addresses a key challenge in intralogistics: enabling forklifts and related vehicles to operate autonomously in outdoor environments where current systems fall short. Most existing solutions are limited to indoor warehouses, flat floors, and standard pallets. Logistics operations,…

The project evaluates the profitability of photovoltaic systems on green roofs in Switzerland. The costs of green roofs and the additional costs for the photovoltaic system are taken into account.

In this project by the ZHAW Institute of Chemistry and Biotechnology, a depth filter layer based on cellulose fibers and various adsorbents is being developed to specifically remove polyfluorinated compounds (PFAS) from drinking water. The efficiency of the depth filter for PFAS is being…

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 "VegCHange: A toolbox to investigate anthropogenic changes in the Swiss flora and vegetation" is part of the National Research Program "Biodiversity and Ecosystem Services" (NRP 82). It aims at quantifying the changes in the flora and vegetation of Switzerland by combining extensive,…

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…

The project seeks to improve the explainability of large language models by applying systematic interventions, such as sparse autoencoders, to open-source reasoning models such as Qwen Deepseek-R1. Transparent AI-driven reasoning is especially important in the life sciences, where trustworthy…

Talking Bots: Interactive voice interface for humanoid robots in networking events with context-aware conversational capabilities.