Open-source Projects

Projects

A YOLOv5-derived framework for polygon prediction boxes in perspective-sensitive object detection.

Notebook-based tutorials designed to help new learners acquire practical Python fundamentals quickly.

Physics-in-architecture neural networks for explainable, data-light, and transferable power-converter modeling.

Associated paper: “Temporal Modeling for Power Converters With Physics-in-Architecture Recurrent Neural Network.” DOI

A domain-specific generative-AI framework for power-electronics design, simulation, optimization, and verification.

Associated paper: “PE-GPT: A New Paradigm for Power Electronics Design.” DOI

Code and tutorial materials accompanying the ECCE 2025 AI-for-power-electronics tutorial.

Associated paper: “Automatic Triple Phase-Shift Modulation for DAB Converter With Minimized Power Loss.” DOI

Open notebooks, datasets, and a What–Which–How learning pathway for AI in power electronics.

Associated paper: “Fundamentals of Artificial Intelligence for Power Electronics,” IEEE TIE (2026).

“Next Generation of AI for Power Electronics: Explainable, Light, and Flexible.”

“AI in Power Electronics Design: Present and Future.”

“Reimagine Power Electronics Design with Artificial Intelligence (AI).”