AI and ML for Smart. Resource-constrained Devices
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB |
| Funding from Vinnova | SEK 53 636 |
| Project duration | June 2024 - November 2025 |
| Status | Completed |
| Venture | International individual mobility within cutting-edge technology |
| Call | Closed offer - International individual mobility for cutting-edge technology 2024 |
Important results from the project
The main goal of knowledge transfer from Prof. Landsiedel´s group to has been achieved through discussions and hands-on work. In particular, Thiemo Voigt has received inspiration and concrete help with the new course "Machine Learning for the Internet of Things" that he has developed at Uppsala University. Lecture material from Prof. Landsiedel´s course has been used as well as Prof. Landsiedel´s labs. There have also been new joint proposals and projects.
Expected long term effects
We have already now started new follow-up projects and have joint proposals as a result of the projects and we expect that this is just the starting point for other joint projects. In addition, Thiemo Voigt’s new course on “Machine Learning for the Internet of Things” will help to educate students and hence supply industry with students knowledgeable in this important area. The first edition of the course has already inspired students from the course to do their MSc theses at RISE.
Approach and implementation
As planned, Thiemo Voigt visited Prof Olaf Landsiedel three times during the project. The first two visits went to Kiel University. During the project, Prof Olaf Landsiedel moved to Hamburg University of Technology, so the last visit was made to Hamburg. AT TU Hamburg, there are several other professors that are active in areas of relevance for Thiemo Voigt ( Prof. Renner and Prof. Kulau) which was an additional benefit during the visit to Hamburg.