All projects from the School of Engineering
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SWEET DeCarbCH – Decarbonisation of Cooling and Heating in Switzerland
DeCarbCH is a research project sponsored by the Swiss Federal Office of Energy’s “SWEET” programme (Call 1-2020) and coordinated by the University of Geneva. The DeCarbCH project addresses the colossal challenge of decarbonisation of heating and cooling in Switzerland within three decades and it prepares the grounds ...
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Digitally assisted intelligent retrofitting of office buildings
The digital assistance of the planning methodology and the BIM linkage allow a scaling of a methodology for smart refurbishments that is already established but still dependent on individual know-how carriers. The dissemination of this knowledge can thus benefit from the dynamics in which the construction industry ...
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Hydrogen In Distributed Energy Systems (HIDES)
The HIDES project investigates the use of hydrogen as energy carrier in distributed energy systems. In this context, the two dimensions of technology and value creation are investigated and optimized. Technical aspects are the generation of green electricity, the separation and storage of hydrogen, the reconversion ...
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In situ IR spectroscopic approach to elucidate reaction mechanisms of exhaust gas purification catalysts
In situ IR spectroscopic approach to elucidate reaction mechanisms of exhaust gas purification catalysts.
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Multidisciplinary Optimization of an Axial Fan for Heat Pumps
Air-source heat pumps typically feature an external unit with an axial fan to blow airthrough the heat exchanger. Due to the annoyance (and regulations) ofthe noise emissions of the fan, manufacturers try to achieve as low-noiseconfiguration as possible while keeping the target pressure and volume flow. Thisproject ...
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Raman spectroscopy for material analysis
Raman spectroscopy is a highly sensitive measurement method for non-destructive chemical analysis, which is becoming increasingly widespread in process and quality control. In the project a new modular setup will be set up for flexible experimental testing.
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To be liked or not to be liked – what makes a photo interesting?
Photos are a wonderful medium in corporate and science communications to showcase what faculty, staff, and students do at the ZHAW. But which photos are interesting and which are not? The aim of our project is to better understand the aesthetic and semantic characteristics of the photos in relation to the academic ...
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Win.Lab – Living Labs for Energy Decarbonisation
Living Labs for Energy Decarbonisation develops and operates activities to promote technological and social innovation through a public, private, people partnership, transferring knowledge and co-designing solutions using open innovation and design thinking methods. WinLab is one of 10 Living Labs in Switzerland ...
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Actionable Insights and Business Intelligence based on Applied Sciences Messaging Patterns
Researchers in an applied sciences context, including at Zurich University of Applied Sciences, have no adequate means to gain insights into their past e-mail and chat communication. Usually this communication archive is a treasure - a hidden gem - when trying to remember contacts, project opportunities, ...
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A standardized Sustainable Energy Finance solution for SMEs’ implementation of low-carbon energy solutions
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DOSSMA – Detection of Suspicious Social Media Activities
The DOSSMA project will investigate suspicious and malicious behaviour on social media platforms. In a first phase, we will compile an extensive survey report on the areas that are currently being researched, including the respective state-of-the-art, existing solutions and initiatives. This report will serve as a ...
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Extension SARS-CoV-2 Intervention modelling
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FASTscan: Fully Automated Security Testing with scanmeter
In this R&D project, scanmeter - a service for the automated security analysis of IT systems - is being extended by three innovative components. This will significantly increase the level of automation and test coverage, significantly improve customer benefits, and expand the fields of applications. Specifically, ...
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SWEET PATHFNDR – Pathways to an efficient future energy system through flexibility and sector coupling
PATHFNDR is a research project sponsored by the Swiss Federal Office of Energy’s “SWEET” programme (Call 1-2020). The project consortium is represented by seven research partners - ETH Zurich, Empa, PSI, ZHAW, HSLU, UNIGE, and EPFL - and 25 cooperation partners. The project aims to develop and analyze transition ...
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Predictive Process Tuning - PreTune
This Innosuisse funded project aims to implement an innovative, predictive process control enabled by an AI-supported multiperspectivedata analysis embedded in the process Digital Twin. The outcome will significantly improve the current level of productquality and enable more ecological semiconductor production. ...
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Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning
Over the last few years, Reinforcement Learning (RL) has gained significant attention as a framework for learning optimal decisions even in complex environments. Moreover, RL is currently considered one of the most promising research areas in machine learning and has already demonstrated immense potential for ...
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Nowcasting SME Insolvency Risk
This project aims to identify nowcasting indicators to predict SME insolvency Risk.
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Accessible Scientific PDFs for All
PDF is the most popular document format to provide and distribute information on the internet. It was developed by Adobe 1996 but has been an open format since 2008. It was estimated in 2015 that more than 2.5 trillion PDF documents exist on the internet, covering all aspects of life and research, and their number ...
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ARES - AI for fluoREscence Spectroscopy in oil
Extra virgin olive oil is very beneficial to our health due to its anti-inflammatory and antioxidant activity. Only a fifth of the extra virgin olive oils sold in Switzerland met the quality's requirements. This project aims to investigate a new method for the analysis of extra virgin olive oils through optical ...
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NEAPTIDE – Numerical Prediction and Experimental Assessment of Drone Noise
The project deals with the development of a method to characterise aircraft noise generated by drones. For this purpose, a corresponding noise database will be created, which will serve to identify the most relevant noise generation mechanisms (so-called acoustic footprint) in order to contribute to limiting the ...
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Reliable Wildlife Camera Trap Based on 3D Time-of-Flight Technology
We are developing an innovative camera trap system based on 3D time-of-flight and complementary sensor technology that allows researchers, conservationists and professional photographers/filmmakers to remotely monitor and photograph wildlife in a uniquely reliable, user-friendly and autonomous way. ...
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Scansor 2.0 – AI driven monitoring of complex system landscapes
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Statistical consulting for regional trend analyses in the soil monitoring program of the Canton of Zurich
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User Assistance Systems for Smart Commercial Buildings
ZHELIO: A User Assistance System (workbench platform) for building operators combining automation, information technology, IoT sensors, optimisation and digital modelling of assets. The envisioned system empowers users to use, interact and optimise living buildings and promote digital transformation ...
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BAZL LAB
Development and delivery of assessor training on behalf of the Swiss Federal Office of Civil Aviation.