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Research & Platforms

Selected work across road materials, intelligent maintenance, lab automation, and OPC collaboration.

Asphalt.AI

An industry AI platform connecting pavement inspection, decisions, materials, experiments, construction, and feedback.

It turns multimodal field and laboratory data into traceable, scenario-aware maintenance decisions.

Intelligent maintenance · Platform R&D

AsphaltGPT

A domain knowledge and decision engine for pavement materials and maintenance.

It connects literature, standards, engineering cases, and materials data to generate explainable, auditable recommendations.

Domain AI · Knowledge reasoning

AI Lab

A multimodal materials database and knowledge graph for data-driven research.

It links composition, processing, test conditions, microstructure, performance, and conclusions so evidence can be reused and traced.

Materials informatics · Knowledge graph

AutoLab.bot

Automated, high-throughput experiments for faster and more reproducible materials validation.

The system records parameters, conditions, and results throughout the workflow, shortening the path from formulation to engineering evidence.

Laboratory automation · Experimental validation

Asphalt.bot

Field intelligence for pavement distress sensing, condition assessment, and execution coordination.

Images, point clouds, laser scans, rutting indicators, and maintenance records become structured inputs for faster decisions.

Multisource sensing · Engineering operations

OPC.bot

An AI-native collaboration assistant for the Yingzhiyuan OPC community.

It brings knowledge, tools, and execution into one workspace, helping individual innovators coordinate multiple roles around a focused goal.

Yingzhiyuan OPC Community · Concept exploration

Research, built for the real world

Open to collaborations in road materials, intelligent maintenance, AI research platforms, and OPC initiatives.

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Dr. Wang · Research & Innovation