Power Electronics
High-frequency converters, modulation strategies, and compact, efficient power architectures.
- Converter design
- Modulation
- Digital twins
PhD researcher · Power electronics
I explore how artificial intelligence can make power electronic systems more efficient, reliable, and autonomous.
Research at the intersection of
01 / Research
From physical systems to algorithms, each area informs the others.
High-frequency converters, modulation strategies, and compact, efficient power architectures.
Physics-aware learning, predictive control, and data-driven models grounded in engineering reality.
Single- and multi-objective methods for navigating complex engineering trade-offs.
02 / Selected projects
A readable toolkit spanning PSO, genetic algorithms, differential evolution, simulated annealing, and multi-objective optimization.
View repository ↗Learning converter behavior while preserving physical structure and system constraints.
View repository ↗Practical explanations from tabular Q-learning through PPO and continuous-control methods.
Browse the series ↗03 / Latest notes
Technical writing on algorithms, engineering systems, and the ideas connecting them.
View all notes →04 / About
I obtained my PhD from KU Leuven and EnergyVille in Belgium in 2025. My work brings together power electronics, computational intelligence, and design optimization—with an emphasis on methods that remain useful outside the lab. I now work in the power electronics industry as a postdoctoral researcher, solving design challenges ranging from high-voltage systems to high-power-density power converters.