All projects from the School of Engineering
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Advanced Optimization Algorithm
The project is about identifying advanced algorithms that can optimize production process parameters in the light of applying MSCC Massive Simultaneous Cloud Computing, numerical simulation as well as methods in regard to machine learning.
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Denner-Mobile: Sustainable Shopping Mobility
Analysis of the shopping behaviour of Denner customers and derivation of measures to promote sustainable mobility behaviour. This subproject examines the current state of Denner's shopping traffic.
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End-to-End Low-Resource Speech Translation for Swiss German Dialects
This project investigates the application of recent findings in Speech Translation to Swiss German. Speech Translation (ST) is the task of translating spoken utterances in one language into written text in a different language. It serves as an essential tool for breaking down language barriers in various ...
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Development of a intergas system for welding applications
Development of a shielding gas system for joint welding of high-grade materials.
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Ceramic air heaters for extreme process temperatures
Within the scope of the project, a new material technology and geometric design concept should be combined with the automated production of ceramic heating elements by injection molding process for the generation of air flows at extremely high temperatures for industrial industrial process applications. ...
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GeoCloud – Simulation Software for Cloud-based Digital Microstructure Design of New Fuel Cell Materials
This project is about a combination of numerical simulation, using the software platform GeoDict, cloud computing, using the cloud platform Kaleidosim and latest means of Artificial Neural Network Technology. An advanced online material database "GeoCloud" will be created where users can a) compute physical ...
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Automated Release Testing System (ARTS)
Acthera Therapeutics AG and ZHAW propose to build an Automated Release Testing System(ARTS) for mechanotherapeutic drugs. The device is important for Acthera for testing new drugliposome formulations, controlling quality, keeping an edge over competition and collaborating with regulatory bodies. ...
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Detection and Classification of Risks from Radar Data
The measure is in the security area. Flying objects are detected as risks from radar data. Machine learning algorithms classify these risks as drones or birds.
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DSS_Embrace: A collaborative environment to embrace deep uncertainties in decision making on climate risks
Climate change impacts will become more pronounced in the next decades. Decision on climate risks is riddled with deep uncertainties. We plan to co-design and deploy a decision support system which assist decision makers, businesses and city planners to deal with deeply uncertain problems for smart and robust ...
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ETH Accessible Video Player
This project is about analyzing the ETHZ Video Paella Player as well as other video editing tools regarding accessibility and advising the corresponding development team.
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Frigero - Towards energy autonomous temperature-controlled supply chains
In our vision, all Swiss supply chains of temperature-controlled products are energy autonomous. To achieve energy autonomy, transparency is needed as to where energy is used in the supply chain. Additionally, knowledge is needed of which energy efficiency measures, energy recuperation and production measures, and ...
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Low Power Actuator
Technologies for a low power actuator are specified, researched, developed and tested. The results are the basis for a new generation of low power access control devices.
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MixMyRide – Mixing public transport, carpooling and active mobility to reduce solo car use
MixMyRide develops a multimodal Mobility as a Service platform, which has public transport as its backbone, and exploits carpooling and active mobility as opportunities to extend public transport networks. The platform is tested in three one-year long, large-scale real-world trials, run in the regions of Lugano, ...
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Pathways and supportive policies for accelerating vehicle to grid (V2G) technology
A key issue in the ongoing transition to net zero transport is sector-coupling: an efficient mobilisation of complementary innovations in adjacent sectors such as electricity or ICT. A key concept at the intersection of all three sectors is V2G technology. In this project, we will identify viable socio-technical ...
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Sustainable Multimodal Mobility in Toggenburg
Project SUSMOBTOGG focuses on identifying sustainable mobility concepts for rural areas in Switzerland, with the example of Toggenburg as a case study. The overall aim is the reduction of private car usage and to foster multimodal, sustainable mobility, thereby increasing efficiency and decarbonising the system. The ...
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Swiss Smart City Survey
The Swiss Smart City Survey aims to regularly survey the current status of smart city developments, trends and corresponding implementation activities in Swiss cities and municipalities. In addition to the planned and implemented solutions, the current framework conditions within politics and administrations ...
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TAILOR – Trustworthy and sample efficient vision transformers
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Flexible Learning Research
In 2014, the School of Management and Law at the Zurich University of Applied Sciences (ZHAW) launched FLEX, a blended learning format that offers students more flexibility in when and where they want to learn. FLEX reduces classroom learning time by about half and provides a digital learning environment for ...
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Development of a waterbased coating for a recycable anti-slip cardboard
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Accessible Teaching in Higher Education
The project aims to improve the accessibility of teaching at Swiss universities and to guarantee it in the long term. One of the main problems is the lack of awareness among responsible faculty and staff of the diversity needs of their students, which is why the development of an online training and short films to ...
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Accessible digital map and navigation for pedestrians with disabilities
The aim of this research is to develop concepts for accessible urban trip-planning and navigation for pedestrians with visual and mobility impairments, and to implement two proof-of-concept mobile application for accessible trip-planning and map exploration.
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Automatic Data Selection for Machine Learning based Anomaly Detection
We develop and test a novel method for a fully unsupervised selection of appropriate training data for anomaly detection using machine learning methods.
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Ecological and economic process optimization in cement production through machine learning
The goal of this Industry 4.0 project is to stabilize and optimize the clinker burning process in a cement plant using machine learning and improved process analytics. This significantly reduces emissions of carbon dioxide, ammonia and nitrogen oxides, improves clinker quality and reduces the consumption of thermal ...
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Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication
NLP &ML tools for Swiss asset managers and owners for identifying inconsistencies in companies’ financial and non-financial communication
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Good practices for responsible development of AI-based applications in healthcare
This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices. ...