Asphalt.AI · Field validation
Advancing an intelligent maintenance loop from materials research to real engineering scenarios.
Hey, I’m Dr. Wang
Building AI-native systems that connect materials research, intelligent maintenance, and real-world engineering.
Now
2026 · Nanjing
Organizing specialist knowledge, AI collaborators, and engineering validation into one continuously improving workflow.
Advancing an intelligent maintenance loop from materials research to real engineering scenarios.
Building multimodal materials data and knowledge graphs for traceable, reusable research.
Exploring how AI collaborators help one person coordinate research, product, and venture execution.
From road materials to intelligent maintenance and OPC collaboration, selected paths from research to engineering.

It turns multimodal field and laboratory data into traceable, scenario-aware maintenance decisions.
Intelligent maintenance · Platform R&D

It connects literature, standards, engineering cases, and materials data to generate explainable, auditable recommendations.
Domain AI · Knowledge reasoning

It links composition, processing, test conditions, microstructure, performance, and conclusions so evidence can be reused and traced.
Materials informatics · Knowledge graph

The system records parameters, conditions, and results throughout the workflow, shortening the path from formulation to engineering evidence.
Laboratory automation · Experimental validation
Open to collaborations in road materials, intelligent maintenance, AI research platforms, and OPC initiatives.