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Trustworthy AI and Mobile Generative AI for 6G Networks and Smart Industry Applications

Reference number
Coordinator Mittuniversitetet
Funding from Vinnova SEK 240 000
Project duration November 2024 - February 2026
Status Ongoing
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 project met most of its goals by completing the research exchange at NTU, strengthening MIUN’s competence in trustworthy AI for industrial and wireless systems, and establishing a long-term collaboration with Professor Dusit Niyato. Results were integrated into research, education, and student thesis work, and disseminated through public platforms, including an online book and interactive demos. The project also supported follow-on project development and future joint research directions.

Expected long term effects

The project is expected to strengthen MIUN’s long-term capacity in trustworthy AI for industrial and wireless systems, support future joint research and proposals with NTU, and increase knowledge transfer through courses, student theses, and public resources. It also builds a durable international collaboration and supports more reliable, transparent, and application-oriented AI solutions, including through open platforms, educational materials, and interactive demonstrations.

Approach and implementation

The project was carried out through a three-month research exchange at NTU, complemented by a short follow-up visit, technical discussions, joint concept development, dissemination, and remote collaboration. The activities were appropriate and aligned with project goals, and the project developed largely as intended within time plan. Collaboration worked well. Some external factors influenced the formalization of a follow-up project, but collaboration continued and produced meaningful results.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 7 April 2026

Reference number 2024-03570