Learning by building
University of Arkansas · Graduate course · 3 credits · 40 hours
Topics include metaheuristic optimization, machine learning, generative-AI engineering, reinforcement learning for control, and project-based implementation.
Supervised four NSF Research Experiences for Undergraduates students in AI for power-electronics design; student work led to a technical paper at IEEE DMC 2025.
Peer-reviewed educational videos introducing AI-driven power-electronics design.
Introduction to AI in Power Electronics
Core Concepts of AI in Power Electronics Design
Open notebooks, datasets, and guided examples that connect an IEEE TIE review article with hands-on learning.
Open the learning repository