Digital & Smart Construction Laboratory

Construction & Infrastructure

Decision Intelligence

AI, BIM, and Digital Twins for Data-to-Decision Systems in the Built Environment

CORE RESEARCH THRUSTS

AI-enabled Industrialized Construction

LLM-driven BIM automation;
BIM-enabled DfMA;
BIM design and planning;
Modular and off-site construction.

Infrastructure Lifecycle

Intelligence

Bridge deterioration modeling;
Predictive maintenance;
Computer vision and SHM;
Bridge life-cycle cost.

Construction

Market Intelligence

Highway construction cost index;
Price volatility forecasting;
Procurement intelligence;
DOT decision-support tools.

The digital and smart construction (DiSC) Lab’s work is supported by NSF, MDOT, ODOT, OHSP, NHTSA, and agency / industry partners, with research outputs spanning peer-reviewed publications, decision-support tools, DOT reports, and graduate student training.

CROSS-CUTTING METHODS

AI-BIM

Automation

Infrastructure

Digital Twins

Human-AI

Decision Support

WHY DISC LAB?

Construction and infrastructure systems generate fragmented data across design models, field operations, agency records, cost histories, maintenance logs, and asset-management systems. We develop domain-grounded AI, BIM, and digital-twin systems that transform fragmented construction and infrastructure data into validated decisions for industrialized construction and lifecycle infrastructure management.

DISC AT A GLANCE (As of Mar. 2026）

External Research Funding

$1.6M+

Refereed Journal Articles

45+

Citations