R-PODID Workshop Explores AI-based Modelling in Power Electronics at TU Delft

26-01-14 00:00

On 13 January 2026, the R-PODID project organised a specialised workshop on AI-based modelling in power electronics at Delft University of Technology (TU Delft), bringing together leading researchers and industry experts from across Europe.

The workshop featured contributions from specialists at University of Bologna, Silicon Austria Labs (SAL), Fraunhofer-Gesellschaft and TU Delft, alongside participants from academia and industry. The event focused on the growing role of artificial intelligence in improving the reliability, performance and resilience of power electronic systems.

Invited lecturers presented recent advances in AI-driven modelling approaches for reliability analysis and fault prediction. Presentations addressed the development of predictive models based on measurement data and simulation results, as well as the practical implementation of AI models on embedded platforms for real-world applications.

By fostering technical exchange and open discussion, the workshop aimed to establish a shared understanding of state-of-the-art AI modelling techniques and their relevance to next-generation power electronics. Participants engaged in discussions on current challenges, emerging opportunities and future research directions at the intersection of AI and power electronics.

The event was targeted at researchers, engineers and industry professionals working in artificial intelligence, power electronics and related fields, reinforcing the R-PODID project’s commitment to knowledge sharing and cross-sector collaboration.

The workshop featured contributions from specialists at University of Bologna, Silicon Austria Labs (SAL), Fraunhofer-Gesellschaft and TU Delft, alongside participants from academia and industry. The event focused on the growing role of artificial intelligence in improving the reliability, performance and resilience of power electronic systems.

Invited lecturers presented recent advances in AI-driven modelling approaches for reliability analysis and fault prediction. Presentations addressed the development of predictive models based on measurement data and simulation results, as well as the practical implementation of AI models on embedded platforms for real-world applications.

By fostering technical exchange and open discussion, the workshop aimed to establish a shared understanding of state-of-the-art AI modelling techniques and their relevance to next-generation power electronics. Participants engaged in discussions on current challenges, emerging opportunities and future research directions at the intersection of AI and power electronics.

The event was targeted at researchers, engineers and industry professionals working in artificial intelligence, power electronics and related fields, reinforcing the R-PODID project’s commitment to knowledge sharing and cross-sector collaboration.