Projects
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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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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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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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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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Indoor Navigation for Personalised Shopping
Smart personalised shopping is enabled by a number of cyber-physicaltechnologies including electronic shelf labels (ESLs), beacons, sensors,connected point-of-sales (POS) and so forth. In this project, thealready known product location and quantity information associated withthe ESLs shall be complemented by ...
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Accessibility of ZHAW Webpages
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DECIDE - Digital Enabling of Circularity, Innovation, Development and Environment (UNEP)
The goal of this project is to lay the technological foundations for empowering various stakeholders to make fact-based decisions to achieve sustainable consumption and production. In particular, we will evaluate how various data science, machine learning and artificial intelligence methods can be used to extract ...
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Digital Transformation at the Local Tier of Government in Europe: Dynamics and Effects from a Cross-Countries and Over-Time Comparative Perspective (DIGILOG)
Background: Digital transformation constitutes one of the most important innovations at the local level of government and is expected to reshape local service delivery, public administration, and governance in Europe fundamentally. Most recently, the COVID-19 pandemic has shown the fundamental importance of a ...
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Surgical Proficiency – Data-driven transformation of surgical education for proficiency-based performance
Training on patients according to the principle of “see one, do one and teach one” no longer corresponds to today’s requirements and technical opportunities regarding education of surgical residents. During the Covid-19 pandemic, most hands-on training had to be discontinued, leading to an almost complete ...
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Runtime-Optimised Business Object Transformation (ROBOT)
In the ROBOT project, new scalable methods and technologies to map strongly distributed data models, with as few lossy intermediate representations as possible, are being investigated. A key concern in that is raising the abstraction levels and resource planning compared to conventional big data programming ...
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DataInc – Intelligent Data Integration and Cleaning
Clean, reliable data is crucial to an increasinglydigitized financial industry. We currently observe alack of consistent, high-quality data across assetclasses which requires costly and time-intensivehuman intervention. We propose an AI-drivensolution to address this issue.
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Smart Hospital – Integrated Framework, Tools & Solutions (SHIFT)
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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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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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Machine Learning for Software User Interface Testing
In this project, various technical aspects for tracing functional/non-functional requirements within user interface test cases were investigated. Originally, this project aimed to detect bugs in user interfaces automatically by using machine learning algorithms. During the execution of the project, we decided to ...
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Malicious node for the detection of lateral movement
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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 ...