Research
Research Agenda
Our research agenda covers the following areas and is conducted within the confines of projects executed with industry partners:
- Database and Big Data technology
- Data Mining, Statistics and Predictive Modeling
- Machine Learning and Graph Analytics
- Information Retrieval and Natural Language Processing
- Business Intelligence and Visual Analytics
- Data Warehousing and Decision Support
- Communication and Visualization of Results
- Privacy, Security and Ethics
- Entrepreneurship and Data Product Design
R&D Projects
This list gets directly filled from ZHAW's project database. Not all projects may show up due to interlinkage aspects.
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AI-BRIDGE - A Think-and-Do-Tank for Responsible Development and Societal Alignment of Artificial Intelligence Systems (AI-BRIDGE)
AI-BRIDGE brings responsible AI to the ground by bridging the gap between societal values and development of AI technology and solutions. The AI-BRIDGE Think-and-Do Tank will help organizations to exploit the potential of AI while complying with legal requirements and being compatible with societal…
ongoing, 04/2025 - 12/2029
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dAIrector – Automated multi-camera live production for events
The dAIrector automates multi-cam live productions of concerts, theatre, comedy, musicals through creative AI direction following the dramaturgy on stage. It provides small stages, events, festivals, and artists access to a worldwide audience via YourStage.live.
ongoing, 01/2025 - 12/2027
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Digital Manufacturing as a Service Technology (DMAAST)
Digital Manufacturing as a Service Technology (DMaaST) is designed to improve the manufacturing ecosystem's resilience and adaptive capacity to external events through a Smart Manufacturing Platform structured into four layers: The data layer establishes a foundation for interoperable data exchange…
ongoing, 05/2024 - 05/2028
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Study on semi-automatic poster cataloguing at the Swiss National Library (SemPla)
Numerous new posters and bills arrive daily at the Swiss National Library to be added to its catalogue. How can the process of poster cataloguing be enhanced by current AI systems?
completed, 05/2024 - 11/2024
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Brain Research International Data Governance & Exchange - Phase II
The goal of this project is to develop an International Data Governance Framework (IDGF) that can advance responsible international brain research and innovation. This will start with the identification of the technical, legal, ethical and organizational challenges to IDGF and the development of…
completed, 04/2024 - 04/2025
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Apéro Digital: Event Series
In the midst of societal digital transformation, post-pandemic economic recovery, and geopolitical tensions around the globe, the need for a carefully curated space for deliberation and networking presents unprecedented urgency. Against this backdrop, we propose the creation of an intellectually…
ongoing, 03/2024 - 08/2025
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NLP Community Building (ComBi)
SwissNLP would like to take concerted action to better network Swiss players from industry, science and administration in the field of Natural Language Processing (NLP). For this reason various activities are to be carried out until the end of 2025 such as expert group meetings, applied conferences,…
ongoing, 12/2023 - 01/2026
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Deep Dive ML on Simulated Enzyme-Electrolysis Performance
The goal of this pilot study is to research requirements needed to develop a computational model that simulates the fluidic and electro-biochemical dynamics in the power-to-liquid process in order to optimise the performance, efficiency and longevity of enzymes.
completed, 11/2023 - 03/2024
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Brain Research International Data Governance & Exchange
The goal of this project is to develop an International Data Governance Framework (IDGF) that can advance responsible international brain research and innovation. This will start with the identification of the technical, legal, ethical and organizational challenges to IDGF and the development of…
completed, 11/2023 - 04/2024
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AI for REAL-world NETwork operation (AI4REALNET)
The scope of AI4REALNET covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic management) modelled by networks that can be simulated, and are traditionally operated by humans, and where AI systems complement and augment human abilities. It…
ongoing, 10/2023 - 03/2027
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Stability of self-organizing net fragments as inductive bias for next-generation deep learning
We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets.
ongoing, 09/2023 - 08/2025
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Intelligent planning for robot-based manufacturing
The proposed research seeks to merge data-driven methods, symbolic knowledge, and domain expertise to enhance the planning, optimization, and control of industrial robots and processes in robot-based manufacturing. By incorporating sensor data, we can leverage additional information to monitor and…
ongoing, 08/2023 - 07/2027
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Consulting Service for the preparation of the GESDA Anticipation Observatory
The Geneva Science and Diplomacy Anticipator (GESDA) is developing the “Anticipation Observatory". The observatory is aimed at equipping decision-makers with the necessary navigation tools to best support research and policy-making in technology and their applications in society. By understanding…
ongoing, 07/2023 - 12/2025
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Machine Learning for Body Composition Analysis (ML-BCA)
The Centre for Artificial Intelligence (CAI) of the ZHAW, together with the Cantonal Hospital Aarau, has laid the foundations for machine learning-supported body composition analysis on image files of the KSA within the framework of preliminary studies and has achieved promising results. The aim of…
completed, 04/2023 - 03/2025
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Digital Health Zurich: a practice lab for patient-centred clinical innovation
Digital Health Zurich researches digital health solutions in the hospital context and implements them efficiently and with practical relevance. Core topics are Patient Reported Outcome Measure (PROMs), remote monitoring, integrated care and related technologies as well as empowerment of patients and…
ongoing, 02/2023 - 01/2028
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Towards a Voice-Based Chatbot for Language Learners (ChaLL) (ChaLL)
We take first steps towards developing ChaLL, a voice-based chatbot that provides language learners with opportunities to practice speaking in both focused and unfocused task-based conversations and receive feedback, free from the time constraints and pressures of the traditional classroom setting.
completed, 02/2023 - 07/2024
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3D-Master for a Digitized Manufacturing Platform
We enhance Bossard's Real Time Manufacturing Services by automatically creating quotes for special parts. The core is an AI-created 3D Master that unifies all available part information, enabling pricing and feasibility evaluation for many manufacturing technologies incl. additive…
completed, 12/2022 - 05/2025
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INODE4StatBot.swiss – Application of new algorithms for automatic natural language translation into database query language SQL (NL-to-SQL)
The goal of this project is to apply the major algorithms developed in the EU-Project INODE (Intelligent Open Data Exploration, https://www.inode-project.eu/) to Swiss Open Data. The focus is on developing multi-lingual extensions for so-called Natural Language to SQL systems (NL-to-SQL) where a…
completed, 12/2022 - 12/2023
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certAInty – A Certification Scheme for AI systems (certAInty)
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…
completed, 11/2022 - 12/2024
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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.
completed, 10/2022 - 03/2025
SNF/NRP project: Bio-SODA
One of the major promises of Big Data lies in the simultaneous mining of multiple sources of data. This is particularly important in life sciences, where different and complementary data are scattered across multiple resources. To overcome this issue, the use of RDF/semantic web technology is emerging, but querying these systems often proves to be too complex for most users—thereby hampering wide development and adoption of these technologies.
