Youngjib Ham, assistant professor of construction science, is developing a rapid, automated jobsite risk assessment procedure.

Fast-forming hurricanes such as Laura and other natural hazards pose significant risks to construction sites, whose hazard risk assessment currently relies on time-consuming, labor-intensive manual inspections.

Youngjib Ham, assistant professor of construction science, is addressing this issue by developing a rapid, automated site risk assessment procedure that employs large-scale data from drones and other devices fed into an algorithm to rapidly assess these sites’ hazard risk elements and degree of vulnerability.

He’s developing the procedure in a 50K research project funded by the National Science Foundation.