All projects from the School of Engineering
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Development of an effective extraction method of insect-pathogenic granuloviruses for innovative and sustainable plant protection
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AETHER - Advanced Development Strategy for Hydrogen Burners
To compensate the volatile power generation from renewables, hydrogen-fired gas turbines will be an important part of the future energy system. Besides novel combustor architectures it is crucial to also provide retrofit solutions to achieve the CO2 reduction targets. The development process of today’s combustion ...
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A glance into the detailed operation of perovskite solar cells
The purpose of the project is to advance research on perovskite solar cells by applying advanced characterization to sophisticated device stacks. Perovskite solar cells have recently emerged and due to their exceptional optoelectronic properties and solution processability, they show high potential for low-cost ...
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certAInty – A Certification Scheme for AI systems
Certification of AI Systems by an accredited body increases trust, accelerates adoption and enables their use for safety-critical applications. We develop a Certification Scheme comprising specific requirements, criteria, measures, and technical methods for assessing Machine Learning enabled Systems. ...
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CYREN ZH: Cyber Resilience Network For The Canton Of Zurich
How can we better protect ourselves from cyber threats? The answer to this question is as complex as cyber security itself, because the right balance must always be found between technical possibilities and political, social and economic interests. The increasing digitalisation of critical infrastructures in ...
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MA4K8s: Machine advice for GitOps-managed Kubernetes configuration optimisation
The profitability of cloud providers is often negatively affected by misconfiguration of application resource constraints. In this research study, we check the feasibility of integrating ML on usage-dependent configurations into a GitOps workflow. The result will be a novel advisor service that tells GitOps ...
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Towards mechanically biocompatible implant materials for pelvic floor repair
Vaginal meshes, hazard or cure? This has been the topic of a recent PULS broadcasting on Swiss television.In fact, during the last few years, severe and frequent complications, such as erosions, pain and dyspareunia, inparticular related to transvaginal placement of meshes led to numerous lawsuits and in some ...
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TSN-based distributed precision measurement system
A new architecture allows flexible deployment of distributed sensor systems for magnetic field measurements in, e.g., marine, or geological applications. Sensor nodes are directly networked using TSN (time-sensitive networking) technology.
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TomGrowthAI
Crops growth management in greenhouses is fundamental for their economical and ecological sustainability. Typically, smaller size greenhouses have the challenge to grow more than one crop variety, each having different growth control strategies. A precise estimate of the expected harvest and crop balance allows ...
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Designing and simulating resilient supply chain networks: ensuring mission critical supplies in disruption with ripple effect
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DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning
We develop a distributed machine learning system to sort out defect plastic parts during production. Main challenge is the transferability of learnt process know-how from case to case; the solution builds on domain adaptation, continual data-centric deep learning and federated edge computing. ...
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Measurement and quantification of inertia on electrical power systems to support integration of renewables (QUINPORTION)
The ever-increasing integration of renewable energy sources within modern power systems has significant benefits from the economic and environmental point of view, but poses also some technological challenges that shall be addressed to guarantee a safe and continuous service. Distributed energy resources are ...
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Triggering conditions for autonomous cars
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Fault Prognostics under Data Scarcity: Data Augmentation using Transfer Learning
In this project we will develop methods for fault prognostics of process sensors. In particular, we will focus on the transferability and generalization of these methods for various types of process sensors in different field applications of these sensors and under diverse operatiive conditions. The methods combine ...
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Mobile Inclusion Lab
We create a Real-Lab (Mobile Inclusion Lab, “MobILe”) that enables experimental development of sustainable rehabilitation and assistive (R&A) technologies for people with disabilities. By providing a toolkit (hardware and software, e.g., 3D-printing, sensors, motors, human-computer interfaces) with teaching and ...
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Smart UMH: Smart urban multihub concept: Sustainable and liveable cities with low logistics visibility
Cities suffer from too much traffic, leading to congestion, air and noise pollution. Increased e-commerce popularity intensifies these challenges further. The Covid crisis has proven that our urban logistics systems are neither reliable, resilient, nor sustainable. Our objective is to develop a future urban ...
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Highly efficient and CO2-neutral power generation from biomass
The project analyzes the potential of a new process for highly efficient electricity generation from biomass in Switzerland. The innovative process uses high-pressure steam-gasification of biomass and is currently being developed by Phoenix Biopower. In addition to various types of biomass, hydrogen can also be used ...
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Customizable Injection Molded Products and Services with Interconnected Production Planning
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DermatoTherma
There are a wide variety of thermal treatment possibilities, one of them being radio frequency (RF) waves to introduce heat locally. For cutaneous Leishmaniasis (CL), a skin disease found in over 98 countries, such a treatment has been around for over 20 years. By reverse-engineering the only RF device widely used ...
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Green and sustainable digitalization for the textile industry
By optimizing production in the textile industry, digitalization can help to reduce power consumption and thus, emissions of pollutants. Yet, digitalization itself creates emissions, e.g., by using powerful AI algorithms. There is currently no transparency for how digitalization investments can reduce emissions. The ...
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NEPHELE – A Lightweight Software Stack and Synergetic Meta-Orchestration Framework for the Next Generation Compute Continuum
The main vision for the NEPHELE project is to enable efficient, reliable and secure end-to-end orchestration of hyper-distributed applications over programmable infrastructure that is spanning across the compute continuum from Cloud-to-Edge-to-IoT. Together with other 17 great partners from industry and academia, ...
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Practical data efficient deep learning trough contrastive self-supervised learning
Deep Learning is the key building block of most modern AI systems, but its data hunger is a problem - especially from an applied perspective. The goal of this project is to enable data efficient practical deep learning by developing novel contrastive learning methods.
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SpaceVote
Inurban development, local input and relevance is essential and often politicallyrequired. The repertoire of tools to capture those range from online petitions,through digital and physical participation campaigns and formal referenda tophysical protest; yet mostly they are not inclusive and lack ...
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CI/CD for PROFINET Conformance Test
The development and implementation of a comprehensive automated verification and validation CI/CD cloud framework for industrial communication protocol certification testing in-house. Resulting in reduced development cost and accelerating time to market for industrial field devices. Demonstrated with Profinet and ...
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Kinematik für MC- und MG-Anlagen
Entwicklung und Simulation von Algorithmen für die Transformation der Achskinematik von Unrundpräge-Maschinen.