Current research projects
Fault Detection and Location in Power Converters with a High Number of Switches using Deep Learning
This research topic explores novel approaches in fault diagnostic techniques using DL for power converters with a large number of switches, like multilevel converters, to develop efficient and effective approaches for improved overall system reliability.
Go to projectSiC MOSFET-Based Power Supply for high-current applications
Proper design of electrical converters is essential for applications requiring precise current control, especially in high-current (tens of kiloamperes) systems used for generating strong magnetic fields in plasma confinement or particle acceleration.
Go to projectModeling, Control and Stability of Power Electronics Based Power Systems
Each power converter in modern power grids has local intelligence, control and filters: the complex interactions between them require advanced stability assessment methods and global control design methods.
Go to projectDesign and implementation of an Electronic Load for Emulating Frequency-Dependent Impedances in the Vertical Stabilization Coils of the Divertor Tokamak Test Facility
The study will focus on investigating Power Hardware-in-the-Loop (PHIL) and Load Emulators (LE) for high-current applications. It will aim to identify DUT testing requirements and analyze gaps in literature.
Go to projectMultilevel Converters for High Power Applications and Medium Voltage Drives
Multilevel Converters for High Power Applications and Medium Voltage Drives
Go to project