Zihui Ma,Ph.D.

Zihui Ma,Ph.D.

Postdoc Fellow @ UMD

LLM-Augmented Semantic Digital Twins

This research develops semantic digital twins that connect technical documents, system models, and evolving project knowledge for adaptive infrastructure planning.

Technical innovation

The approach combines semantic modeling with language-model reasoning so a digital twin can interpret knowledge-intensive planning questions, connect evidence across sources, and retain traceability to the underlying project context.

Practical insight

Infrastructure programs depend on knowledge scattered across contracts, standards, reports, and stakeholder decisions. The framework supports more transparent planning when requirements, evidence, and priorities change over time.

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning