All projects from the School of Engineering
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Pilot study machine learning for injection molding processes
Researchers from the CAI and InES conduct a technical deep dive together to explore the possibilities of capturing process knowledge on injection molding in deep neural networks and transfer the results to novel usage scenarios.The groups of Prof. Stadelmann (Computer Vision, Perception & Cognition, ZHAW CAI) and ...
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Square Kilometre Array: Mock-observations via generative deep learning
In this project we use generative deep learning methods (GANs and VAEs) to produce realistic astronomical mock-observations of numerically simulated astrophysical objects, as they will be obseved by the Square Kilometre Array Telescope (SKA). This project contributes to the Swiss-wide activities for SKA of the SKACH ...
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Target Recognition using Artificial Intelligence (TRAI)
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Win.Lab – Strategierevision des Reallabors der Stadt Winterthur
Winterthur wants to remain a progressive and efficient city in which infrastructures are closely networked with modern technologies and urban stakeholders - a Smart City (SC). To this end, the city council adopted the strategy on 14.3.2018, defined the programme organisation and decided to create a specialist ...
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Optimization of powder preparation in 3D printing using Laser Powder Bed Fusion
Optimization of powder preparation in 3D printing using Laser Powder Bed Fusion (PBFLB/ P)
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Malicious node for the detection of lateral movement
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Machine Learning Enhanced Process Simulation in Laser Powder Bed Fusion (LPBF)
The project aims to develop and implement dedicated calibration procedures and parts that are tailored to critical applications of ABB and Sauber, to improve the accuracy of distortion predictions for specific components. Machine learning is then used to enhance simulations also beyond the calibrated regime. This ...
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ThermoPlaner3D
The decarbonisation of heating systems is a big challenge for the building economy. The project ThermoPlaner3D develops novel innovative products that allow energy suppliers to support the energy change in buildings in a profitable manner. ThermoPlaner3D provides detailed 3D building energy assessments over large ...
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Novel manufacturing process for tools for the production of implants
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Enhanced blood flow and pressure measurements with PhysioCath-microcatheter for reliable diagnosis of 'Ischemia with Non-Obstructive Coronary Artery' (INOCA)
The project aims to develop the next generation microcatheter for the full physiological study of epicardial and microvascular diseases, including vasomotion disorders. This will allow a more accurate and reliable diagnosis of currently 130 million patients suffering from angina pectoris. ...
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GraphQueryML – Using Machine Learning to Optimize Queries in Graph Databases (SNSF/DFG)
Optimizing the brain of databases with machine learning:Query optimization is one of the hardest problems of database systems research. A query optimizer can be considered as the “brain” of the system that makes sure that queries are executed efficiently. Even after several decades of research, many sub-problems of ...
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IR-cell for inline-monitoring of extractions with supercritical CO2
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Machine Learning-Aided Startup Investing (MALASI)
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Digital Services from the Building Cloud
This preliminary study shows how the spatial linking of IoT data can be realized in the three-dimensional building plan and how new insights into the building operating status can be gained using BIM metadata. Further research questions: How can, based on physical simulations, missing or faulty measurement data can ...
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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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My digital twin is revealing the biomechanics of safe and efficient strength training
Background: Muscular strength training interventions have long been a cornerstone in the prevention, non-surgical management and rehabilitation of the entire spectrum of musculoskeletal injuries and diseases. The key goal of strength training, especially during rehabilitation, is to regain healthy musculoskeletal ...
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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