Current projects that we participate in:




Neuromorphic hardware mimics the human brain in that logic and memory are not physically separated. This enables massive parallelization and avoids the energy-intensive and time-consuming data transfer that is one of the major bottlenecks of today's computers.
The goal of NeuroSys is to establish the greater Aachen area as the world's leading location for research, development and exploitation of neuromorphic hardware in artificial intelligence (AI). The long-term goal is to transform the excellent basic research in Aachen and at Forschungszentrum Jülich on memristive materials and devices into a viable technology base for future European AI hardware. The vision is the technological independence of Europe in this ethically and economically sensitive area.

The German Federal Ministry of Education and Research (BMBF) funds this project in the "Clusters4Future" competition. "Clusters4Future" is part of the German government's High-Tech Strategy 2025. The open-topic competition focuses on regional innovation networks that combine the strengths of the players, tap into emerging fields of innovation and develop solutions for the challenges of the future.



The project “bridgingAI: Building Brigdes to AI Across Disciplines” seeks to provide students with relevant AI competencies, regardless of discipline studied. RWTH is thus tackling a challenge currently faced by many universities. Drawing on the University’s AI expertise, the goal is to develop scalable solutions that can be made available to other higher education institutions in the form of Open Educational Resources (OER). The aim of bridgingAI is to provide students with the necessary skills to use, assess, and develop artificial intelligence applications, enabling them to contribute to shaping science, industry and society in the age of artificial intelligence. It is one of the strategic goals of RWTH as an interdisciplinary, integrated university of technology to develop and maintain interdisciplinary AI competencies.




Artificial intelligence (AI) promises significant improvements in healthcare and is considered pioneering technology in precision medicine. Especially as regards diagnostics, where AI can be used to automatically collect, evaluate, merge data and make therapeutic decisions, the benefits for patients can be enormous. The main goal of ELSA-AID is a sensitive analysis of ethical, social and professional questions of artificial intelligence (AI)-based diagnostics in the context of precision medicine. The aim of the project is to facilitate the understanding of the effects of AI in diagnostics on doctors from various disciplines and their relationship with patients and to create the basis for a health environment that creates a synergy between human expertise and AI skills.




The InviDas consortium will develop a digital platform via which the data protection implications for the collection and transfer of personal data can be understood. People of all technological generations and age groups should be helped to understand abstract technical and legal relationships and consequently to make conscious and reflective decisions. A visual, interactive experience of the previously invisible digital processes is intended to improve understanding and trust in technology, particularly regarding the sovereignty of digital-legal decision-making. This is achieved through a visual, playful approach based on the needs of users. The knowledge and instruments from InviDas should also be available to the broader public, advance the social discourse on digital sovereignty in health data, and be used for society as a whole with regard to transferability and generalizability.


Cluster of Excellence

Cluster of Excellence - "Internet of Production"

In its role as a worldwide socio-technical network, the internet has revolutionised the availability of data and knowledge. The concept of the Internet of Things (IoT) transfers this idea to the physical world. The application of IoT within the context of production is not yet feasible as production technology is determined by significantly more parameters on the one hand, but less available data than other domains on the other hand. While large amounts of data are available in state-of-the-art production technology, these data are neither easily accessible, interpretable nor connected in a way that would all the generation of knowledge from them. The vision of the Internet of Production (IoP) is to enable a new level of cross-domain collaboration by providing semantically adequate and contextual data from production, development and usage in real-time and with adapted granularity.

The cluster of excellence "Internet of Production" at RWTH Aachen University was granted funding under the Excellence Strategy, and initiative by federal and state governments which aims at promoting outstanding research in Germany.

Duration: 2019-2025




The aim of KIPeriOP is to map both established medical guidelines and the expert knowledge condensed therein, as well as innovative data-supported methods and AI-based models in CDS tools in order to provide the best possible support for clinical users in their decision-making. Software solutions are developed and evaluated taking into account performance, user-friendliness and data protection as well as ethical and economic dimensions.

Overall, the aim is to improve patient-centered health care and strengthen the quality and cost-effectiveness of German healthcare.


AI in dermatology

In an ongoing project, together with the chair Individual and Technology, we are researching the use of algorithms for skin cancer screening in dermatology. Early detection of skin cancer is important. The implementation of skin cancer screenings is firmly anchored in the everyday practice of dermatology. In the future, algorithm-based systems could support dermatologists in this important routine task. A study is currently taking place on this very topic, in which we invite dermatologists to participate.


Previous Projects



SIENNA: Technology, Ethics and Human Rights

Human genomics, human enhancement, artificial intelligence and robotics offer benefits for both individuals and society. But these technologies also challenge our notions of what is ethical. SIENNA - Stakeholder-informed ethics for new technologies with high socio-economic and human rights impact - will provide frameworks to help develop research ethics protocols, professional ethics codes and better legal frameworks.

The SIENNA project has received funding under the European Union's H2020 research and innovation programme.