Guangshuai(Jerry) Han
Guangshuai Han develops AI-driven systems that accelerate discovery in materials and device design, with a broader mission of advancing AI-for-science methodologies capable of transforming scientific innovation. His work spans agentic AI, LLM-based scientific reasoning, machine-learning force fields, and interpretable graph neural networks for understanding and designing complex materials systems.

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.




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My Teaching Experience


Teaching ExperienceI 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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