Information modeling
Connecting project data, objects, decisions, and lessons learned across the asset lifecycle.
IVM develops methods, models, and learning environments that help people understand complexity and manage the built environment more effectively.
Six connected areas form the IVM research framework.
Connecting project data, objects, decisions, and lessons learned across the asset lifecycle.
Making complex spatial, temporal, and operational relationships understandable and testable.
Combining machine intelligence with expert knowledge to support transparent, responsible decisions.
Linking BIM, point clouds, sensors, and operational data into responsive representations.
Applying digital methods to project delivery, productivity, safety, maintenance, and performance.
Using virtual environments, serious games, visualization, and intelligent instructors to improve learning.
Current and recent directions
A framework for understanding how generative systems can create and assess sustainable, efficient, and lifecycle-aware design alternatives.
Read the workA simulation process for testing how healthcare spaces and operations can adapt to uncertain treatment demand.
Read the workA systematic study of sensing technologies for identifying, locating, and orienting objects in dynamic construction environments.
Read the workDeveloping responsible approaches for translating instructor knowledge, presence, and feedback into interactive technical learning experiences.
Selected publicly documented awards and capital support. Partnership contributions without a published value are described separately.