Research: Artificial Intelligence

Find out about our current research projects in the field of artificial intelligence. Older and already completed projects can be found in the corresponding tab.

Current third-party funding/research projects

Current third-party/research projects

Q-AMeLiA (2020-2023): Quality Assurance of Machine Learning Applications

Q-AMeLiA is a joint project of three universities and five small and medium-sized enterprises (SMEs). The goal is to support the participating companies in the special machine learning software development life cycle and the important quality indicators.

Project leader: Prof. Dr. Christoph Reich
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/q-amelia/

KIEBiZ (2021-2023): AI-based solutions in endoscopy image processing: Robustness and certification
Within the CoHMed project, the IDACUS institute is researching AI-based solutions in endoscopy image processing. As a prerequisite for the approval of commercial use, the project investigates different approaches to describe the quality and potential risks of the current system state and develops verifiable requirements for AI-based systems.

Project leader: Prof. Dr. Christoph Reich
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/kiebiz/

FiSK (2021-2024): Effects of adaptive feedback bots in the simulated classroom on procedural professional knowledge
In addition to theoretical knowledge transfer, university teacher training also includes practical phases. The Simulated Biology Classroom (SKRBio) was developed in order to simulate interactions between (future) biology teachers and their students. This is where the FiSK project comes in, in which the SKRBio is extended by an AI-based bot system.

Project leader: Prof. Dr. Christoph Reich
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/fisk/

DigNest (2021-2023): Digital Entrepreneurial Nest and Industry 4.0 in Montenegro
The EU project with eleven international partners combines international student mobility with capacity building. The focus is on modernising higher education institutions in Montenegro, in particular strengthening capacity and improving cooperation with the business sector. The aim is to integrate digital technologies and innovative services more effectively.

Project leader: Prof. Dr. Christoph Reich
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/dignest/


DQ-Meister (2022-2025): Digital master craftsman for quality assessment - predictive quality assessment for complex production processes
Mastering complex manufacturing processes is a challenge that is exacerbated by the shortage of skilled workers. The goal of the DQ-Meister project is to counteract the increasing complexity with artificial intelligence (AI) methods. By means of AI, a predictive quality assessment in manufacturing will be realised and the skilled personnel will be replaced by a digital foreman (DQ foreman).

Project leader: Prof. Dr. Christoph Reich
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/dq-meister/

KISS (2021-2025) – Artificial Intelligence - Services  and Systems in University Education

As part of a federal-state initiative to promote artificial intelligence in higher education, the extensive KISS project is funded by the German Federal Ministry of Education and Research.

Project leader HFU: Prof. Dr. Stefanie Betz, Faculty of Computer Science

KISS - sub-project led by the Faculty of Computer Science

Development of learning units in the AI Competence Center

Together with the University of Music, a cross-university competence center is being set up at HFU that will systematically structure teaching in the field of AI, prepare it didactically, and make it available as basic modules in the form of modern teaching formats.

  • Learning units: Algorithms

Modules on programming (for example, Python) and machine learning algorithms will include using Jupyter notebooks with relevant deep learning architectures, producing short learning videos, and developing machine learning projects.

Sub-project leader: Prof. Dr. Temerinac-Ott (Faculty of Computer Science), Prof. Dr. Schanbacher (Faculty of Business Information Systems)

  • Learning units: Data management

Methods for high-quality data and process management incorporating quality assurance aspects will be addressed, which are required to simultaneously develop efficient, effective, and reliable AI systems.

Sub-project leader: Prof. Dr. Christoph Reich
Internal link opens in the same window:https://www.hs-furtwangen.de/research/forschungsprojekte/kiss-data-management/

  • Learning units: Socio-engineering

In socio-engineering learning units, methods and tools for sustainable, transparent and responsible AI system development are collected and prepared for concrete, reflective and ethically sound implementation.

Sub-project leader: Prof. Dr. Stefanie Betz

  • Area of application: Autonomous systems

AI teaching units and materials are created in which and with which participants can gain initial experience with the development of AI-based applications for autonomous systems. These include, for example, work units for cross-platform software development, ambient assisted living applications and AI-based emotion recognition, as well as gesture control for humanoid robots.

Sub-project leader: Prof. Dr. Elmar Cochlovius

Completed projects

Completed projects

KIM-Labs (2020-2021):  Artificial Intelligence Mountains Labs
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/kim-lab/
bwGPUL (2020-2021):  Provision of teaching and experimental environments for the use of GPU-based applications in teaching
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/bwgpul/
SensoGrind (2018-2020):  In situ quality assessment of grinding processes using MST-based sensor fusion
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/sensogrind/
HALFBACK (2017-2020):  Inter-country high-availability smart factories in the cloud
Internal link opens in the same window:https://www.hs-furtwangen.de/forschung/forschungsprojekte/halfback/