with next-generation power electronics.

This PhD project aims to develop cutting-edge AI methodologies for intelligent power electronic systems. Research topics may include machine learning, deep learning, reinforcement learning, generative AI, digital twins, physics-informed neural networks, and large language models (LLMs) for power electronics applications. The successful candidate will investigate AI-assisted converter design, intelligent control, predictive maintenance, health monitoring, fault diagnosis, digital twin development, and autonomous energy management.

Potential application areas include renewable energy systems, electric transportation, battery management systems, wireless power transfer, robotics, aerospace electrification, and AI data center power infrastructures.

The project offers opportunities to work at the intersection of artificial intelligence, power electronics, and sustainable energy technologies. Students will gain expertise in both advanced AI algorithms and practical hardware implementation using state-of-the-art laboratory facilities. The research outcomes are expected to contribute to high-impact journal publications, international conferences, and industrial collaborations.

with next-generation power electronics.

This PhD project aims to develop cutting-edge AI methodologies for intelligent power electronic systems. Research topics may include machine learning, deep learning, reinforcement learning, generative AI, digital twins, physics-informed neural networks, and large language models (LLMs) for power electronics applications. The successful candidate will investigate AI-assisted converter design, intelligent control, predictive maintenance, health monitoring, fault diagnosis, digital twin development, and autonomous energy management.

Potential application areas include renewable energy systems, electric transportation, battery management systems, wireless power transfer, robotics, aerospace electrification, and AI data center power infrastructures.

The project offers opportunities to work at the intersection of artificial intelligence, power electronics, and sustainable energy technologies. Students will gain expertise in both advanced AI algorithms and practical hardware implementation using state-of-the-art laboratory facilities. The research outcomes are expected to contribute to high-impact journal publications, international conferences, and industrial collaborations.