Weihao Hu

University of Electronic Science and Technology of China, Xidian University

Papers

Total Citations

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About

Weihao Hu is a researcher at the forefront of intelligent energy systems and augmented reality, whose work bridges cutting-edge artificial intelligence with practical engineering challenges. His primary research areas include AI-aided power electronics optimization, real-time efficiency enhancement for energy conversion systems, and computer vision-based object registration. Hu's most notable contribution is his 2023 paper on "AI-aided power electronic converters automatic online real-time efficiency optimization method," which has garnered 13 citations—a strong signal of impact for a recent publication. This work addresses the critical issue of energy losses during power conversion, proposing an AI-driven approach to overcome the nonlinearity and complexity that traditionally limit efficiency improvements. By enabling automatic, real-time optimization, Hu's method offers a transformative solution for reducing waste in electric power supply. Additionally, his 2021 study on "Real Object Registration Algorithm Based on SURF and RANSAC" explores mobile augmented reality, developing robust matching algorithms for real-time virtual reality feedback on smartphones. Hu's research demonstrates a unique ability to apply advanced computational techniques—from machine learning to feature detection—to real-world systems, making his work highly relevant for students and engineers interested in sustainable energy technologies and immersive digital experiences.