Page 7 — Guangshuai Han

Guangshuai(Jerry) Han

Guangshuai Han leverages artificial intelligence to drive transformative research across materials and device design. More broadly, he is committed to developing AI-for-science approaches that accelerate innovation across disciplines.

During his PhD, one of his major achievements was pioneering an AI-assisted piezoelectric sensing system that transformed highway infrastructure monitoring. This technology was adopted as a new AASHTO standard, recognized by Time Magazine as one of the Best Inventions of 2023, and successfully transferred into practice as the core technology of a startup company.

He is currently a Postdoctoral Associate at Johns Hopkins University, where his research focuses on applying AI to tackle the extreme complexity of disordered materials systems. Through these approaches, he aims to open new directions for high-entropy disordered materials design and discovery.

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My Teaching Experience

Teaching Experience

I co-developed a Mini Graduate Program with my advisor, Na Lu, at Purdue University, which has been recognized as the world's top No.2 ranked Civil Engineering online program by U.S. News & World Report.
This program includes six specialized courses: Fundamentals of Nanomaterials and Nanotechnology, Nanomaterials for Civil and Environmental Applications, Nano-Device for Energy Harvesting and Sensing, Fundamentals of Non-Destructive Testing, Wave-Based NDT Methods, and Electrical-Based Non-Destructive Testing and Sensing. These courses have been highly successful, with over 10,000 students worldwide enrolling in them.

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