Circuit design, modeling with simulation as well as the creation of the concept for the control of a galvanically isolated, bidirectional and highly dynamic 45kW DC-DC converter. 

This project aims to develop a characterization setup for surface and bulk acoustic waves imaging for the quality control and development of 5G and 6G RF filters.

The project aims at knowledge building and identification of suitable workflows and methods for component to system models comprising multi-physics and model order reduction based on two concrete use cases.

This project aims to develop a phased piezo­electric micro­ma­chined ultra­sonic trans­ducer (pMUT) array for intra­vas­cular ultra­sound (IVUS) imaging appli­ca­tions. 

Enabling simu­la­tion-based opti­miza­tion of ESD protec­tion struc­tures for high-speed data inter­faces, such as Thun­der­bolt and USB4.

In this project, sending and receiving data through the metal wall by means of the acoustic wave is inves­ti­gated.

Devel­op­ment of novel and opti­mized methods for modeling and simu­la­tion of elec­tro­mag­netic inter­fer­ence (EMI) of elec­tronic based systems (EBS).

Emerging applications such as, endoscopic bioimaging and Pico projector imaging systems are hitting the market in the upcoming years. At the heart of these applications is a micro-scanner module allowing high resolution, large field of view, high refresh rates and good and stable operation. In the context of the project, the focus will be set to the development of next generation piezo mems devices.

The goal of this project is to develop hybrid machine learning (ML) and signal processing (SP) algorithms to process active sensing data for classification and regression tasks.