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The ISGAN-SIRFN initiative provides collaborative testing and evaluation capabilities for the international community, supporting the improved design, implementation, and validation of smart grids and their functionalities. A key focus is the reliable integration of clean energy technologies into…

The Lifecycle Compass examines how lifecycle-based financial advice can be translated into an understandable, usable, and scalable digital advisory solution.

Fish farms in remote tropical regions, such as Lake Tanganyika in Tanzania, face significant challenges with limited and unreliable access to electricity and inefficient resource utilization. This leads to high production costs and limited investment opportunities in local aquaculture…

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…

We investigate sustainable nanomaterials using ultra-broadband terahertz (THz) spectroscopy to understand their fundamental properties and enable new functionalities for next-generation THz technologies.

We will develop language technologies for imperfect Swiss German speech. These technologies are crucial to build AI applications for persons with speech disorders, e.g chatbots for children in speech therapy or diagnosis tools for patients with Parkinson’s Disease.

VINTAGE – Vineyard INTelligence for Agronomic Guidance & Evaluation. The project explores how agronomic, climatic, and georeferenced field data can be transformed into management recommendations.

This EU Horizon project focuses on developing scalable cultivation systems for macroalgae (seaweed) to create regenerative, bio-based value chains. The envisioned end products include food, cosmetics, and insulation building materials. A life cycle sustainability assessment (LCSA) as well as a…

The project EZRA aims to integrate and further optimise all required network equipment of a 5G network into a single compactdevice. Increased data throughput is addressed by hardware acceleration of the most complex components like FFT and LDPCcoder as well as by improvements in the analog signal…

Deepfake voice technology enables deceptively realistic voice clones that are used for fraud and manipulation. Neither humans nor machines can reliably detect deepfakes. The project investigates whether brain signals can capture unconscious distinctions between real and artificial voices. Neural…

This project investigates age-friendly urban development in Afghanistan, Bangladesh, India, and Iran. Through stakeholder perspectives, it develops a context-sensitive understanding of ageing, governance, participation, and urban inclusion across diverse socio-political, cultural and economic…

Innosuisse project evaluating WindtracX box-wing configurations via a coupled aerodynamic–tether flight mechanics model. ZHAW develops the simulation framework, runs geometry trade-off studies across box-wing arrangements and tether attachment options, and recommends optimal designs for performance,…

The SAGE project responds to the increasing demands placed on Zurich law enforcement agencies (LEAs) like the Zurich Forensic Science Institute (FOR) or the Office of the Public Prosecutor, Zurich) for the processing of legally acquired speech audio data. It will provide cutting edge speaker number…

We are developing the first clinically usable platform for automated speech and language analysis in Swiss German. By combining advanced speech recognition with language and voice biomarkers, the system will support faster, more accurate diagnosis and monitoring of disorders such as developmental…

The intensive care unit requires rapid decision-making based on large volumes of multimodal patient data. Existing tools typically address isolated tasks without integrating across systems. The project team proposes a multi-agent system for real-time medical reasoning in critical care to reduce…