Projects according to DDC 344: Labor, social, education and cultural law (CH)

• Accessibility of ZHAW Webpages

• Service User Involvement in Social Work Education

• DISCAP - Digital Infrastructure for Sustainable Consumption and Production

  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 ...

• Drone Alarm

• AC3T – AI powered CBCT for improved Combination Cancer Therapy

  The project enables a novel, combined, adaptive cancer therapy combining tumor treating field and radiation therapy due to significantly improved static (3D) and time-resolved (4D) low dose Cone Beam Computer Tomography images based on artificial intelligence image reconstruction algorithms.  ...

• Automated Composite Compression-Zahnrad

• C-Atoms for Circular Chemistry (CO2NVERT)

  In order to achieve the overarching goal of net-zero emissions by 2050, a paradigm shift toward a cir-cular economy for carbon has to be put in place. The systemic objective of the Flagship project is to provide the society with a viable case study of the CO2 circular economy applied to the chemical industry. The ...

• Concept Development for Trustworthy Phygital Marketplaces

  Concept Development for Trustworthy Phygital Marketplaces

• End-to-End Data Driven Design of After-Sales-Services for Digital Cutters

• Extracellular vesicles for targeted delivery of new antimicrobials

  Infectious disease caused by bacteria constitutes a major threat to human health. Although antibiotics control bacterial infections, their efficacy is mitigated by the rise of antibiotic resistance. Further challenging elimination of pathogenic bacteria, some species such as Staphylococcus aureus, responsible for a ...

• Gossik - The Productivity Assistant for the Young & Ambitious

  Gossik - The Productivity Assistant for the Young & Ambitious

• Optimisation of the tooth root geometry of plastic gears

  The use of plastic gears in drives is growing rapidly, especially in the module size range 0.5 to 1.5 mm and at maximum load cycles during the product life of 105 to 106. A key factor for reliability is the tooth root strength of the gears. Although injection moulding, which is the common production method for ...

• Needs Analysis for Intercultural Training of Higher Education Employees

  The R&D unit Language Management and Globalisation has the lead in a collaboration consortium consisting of BFH, HES-SO, SUPSI & ZHAW in the context of two ongoing Movetia projects 1. High-Impact Measures for the Comprehensive Internationalization of Curricula  (No. 2019-1-CH01-OF-0017) aimed at inter-university ...

• Empirical Market Potential Analysis for ResGuard Med – B2B Toolbox for Early Respiratory Crisis Warning

  Empirical Market Potential Analysis for ResGuard Med – B2B Toolbox for Early Respiratory Crisis Warning.

• Utilisation of data along the product and customer life cycle to optimise the triple bottom line

• DataInc – Intelligent Data Integration and Cleaning

  Clean, reliable data is crucial to an increasingly digitized financial industry. We currently observe a lack of consistent, high-quality data across asset classes which requires costly and time-intensive human intervention. We propose an AI-driven solution to address this issue.

• Developing novel and effective therapies for treatment of childhood brain cancers

  Brain cancers are a leading cause of mortality in children. Brainstem glioma constitutes 10% of all pediatric central nervous system tumors, the most common type being a high grade diffuse midline glioma (DMG). Preclinical discoveries fail to translate into clinical success due to: i) drug systemic toxicity, and ii) ...

• Infused Drinking Water from Dropz

  The aim is to introduce a patentable technology that allows Dropz to dissolve quickly and naturally, with minimum additives (clean label), and that creats differentation towards competitors.

• MaintAIn - AI supported hybrid Predictive Maintenance

  Current PdM approaches need large datasets, complex modelling and many sensors which do not scale to machines with little or no historical data. MaintAIn offers a new approach without prior data collection, as few sensors as possible and as simple analytical models as possible.

• Sensitivity improvement techniques for Raman scattering measurements

  Raman spectroscopy is an established measurement method in process and quality control. One of the major challenges in achieving good signal-to-noise ratios due to the weakness of the Raman signal. Since the effective cross-section is very small, interfering signals (such as stray light and interference from ...

• AUTODIDACT – Automated Video Data Annotation to Empower the ICU Cockpit Platform for Clinical Decision Support

  Monitoring diverse sensor signals of patients in intensive care can be key to detect potentially fatal emergencies. But in order to perform the monitoring automatically, the monitoring system has to know what is currently happening to the patient: if the patient is for example currently being moved by medical staff, ...

• ADHS-Digital: Testing of a «Roundtable-Boardgame»

• Competence for Cantonal Energy and Climate Policy ZHAW through expansion and communication of the Cantonal Clean Energy INDEX Switzerland (CEIS)

• Consumer Perceptions of Dark Patterns

• DEcarbonisation of Cities and Regions with Renewable GAses (DeCIRRA)

  Decarbonisation of cities and regions is one challenge which needs to be addressed in order to achieve the Net Zero Target by 2050. In an interdisciplinary and transdisciplinary setting the Flagship DeCIRRA addresses the following questions: How might we decarbonise cities and regions? How might we make best use of ...