Projects
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Remote, Hands On Computer Networks Lab
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Synthetic data generation of CoVID-19 CT/X-rays images for enabling fast triage of healthy vs. unhealthy patients
The automatic analysis of X-ray/CT images through artificial intelligence models can be useful to automate the clinical scanning procedure. Nonetheless, the limited access to real COVID patient data leads to the need of synthesizing image samples. The goal of this project is to use existing CT/X-ray image datasets ...
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Predictive replenishment of urban distribution centres for the decentralised food supply
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Virtual Kids - Virtual characters to improve the quality of child interrogations
If children are questioned in preliminary proceedings about their own experiences or observations relevant to criminal law, it depends decisively on the quality of the questioning whether their statements can be used in criminal proceedings or whether decisions can be made on this basis and appropriate consequences ...
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Fog-Cloud Continuum Framework for Near-Data Computing
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Marketing insights from open/public data
The company's platform leverages public open data sources for marketing campaign optimisation. The effectiveness of such a campaign depends crucially on external factors such as political opinion, weather, surrounding demographics and even district-level trends. Research questions are: How can data sources be ...
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OptiPhish – Effective and Measurable Phishing Awareness Training
In this project, LUCY - a system for phishing awareness training - will be significantly extended in order to put such training on a scientific basis and to bring it to a new level of quality. The goal is to provide completely automated, effective and individualized phishing awareness training with measurable ...
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Smart policy-driven scanning of Docker images
Docker has become the de-facto standard for containerised application delivery. Hundreds of companies in Switzerland develop, deploy and operate Docker-packaged software regularly, often involving publicly available Docker images produced by third parties. For banks, insurances and other companies with high ...
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DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes
Project DIR3CT aims at improving the image quality of CBCT images by deep learning (DL) the 3D reconstruction from X-ray images end-to-end. This enables a novel CBCT product to be used during radiation therapy and will allow the use of these images for adaptive treatment.
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Voice Swap
This demonstration shows to the participants the exciting possibilities of machine learning applied to speech, showcasing their benefits in various scenarios like helping regain the voices of the speech-impaired and improvement of dubbing technologies. Also, crucially, it helps demonstrate the evergrowing threats ...
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TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization
The main ambition of TAILOR is to build the capacity of providing the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centers with a technical focus on combining research excellence in the areas of learning, optimisation and reasoning . The current scientific ...
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Accessible Video Portal ETH
ETH Zurich is planning to make its online video portal (website, video player) accessible for everyone, including persons with disabilities. ETH Zurich is currently collaborating with international academic partners to develop the software needed for its OpenCast project. Within the context of this project, OpenCast ...
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Supporting the adoption of FAIR and reproducible digital scholarship with Renku
The goal of this project is to significantly increase the visibility of a mature solution, anticipating the adoption of Renku as a tool to improve research management in Switzerland, leveraging existing knowledge, resources and networks built in the context of past and current projects supported by ...
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HostDetective – Next Generation Active and Passive Web Server Rating System
This project extends Exeon Analytics' ExeonTrace product with HostDetective Next Generation (HD.ng), a tool to identify and mitigate Web-related data breaches. HD.ng implements a novel active and passive Web server assessment method to determine the type, purpose and risk score of a Web server. This project builds ...
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INODE – Intelligent Open Data Exploration (EU Horizon 2020)
Data growth and availability as well as data democratization have radically changed data exploration in the last 10 years. Many different data sets, generated by users, systems and sensors, are continuously being collected. These data sets contain information about scientific experiments, health, energy, education ...
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Intelligent Security and PervasIve Trust for 5G and Beyond (INSPIRE-5Gplus)
INSPIRE-5Gplus aims to make a revolutionary shift in the 5G and Beyond (B5G) security vision by progressing 5G Security and by devising a smart, trustworthy and liability-aware 5G security platform for future connected systems, while contributing to its realization. It will allow, for the first time, the advancement ...
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Intelligent Viticulture
Applied research and development in the area of “Computer Vision, Machine Learning and Augmented Reality” to foster data-driven improvements for the cultivation of vineyards.
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ZKB: Accessible digital channels
The aim of this project is to provide know-how and to raise awareness of digital accessibility issues among software developers and other stakeholders at the ZKB. To that end, a combination of training, consulting and accessibility testing is offered.
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Smart City Simulation Platform
An IoT system consists of hundreds of thousands of sensors, connectivity media, cloud analytics, and users. Building such a large and complex IoT system such as smart-city requires careful planning, selection of the right set of hardware and software technology and development of scalable computing infrastructure ...
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RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand
ScorePad’s sheet music scanning service works for high quality input; to scale up business, it should work as well for smartphone pictures, used sheets etc. Project RealScore enhances the successful predecessor project by making deep learning adapt to unseen data through unsupervised learning. ...