Deep Learning for Construction Management: Earthmoving Productivity Analysis, Bridge Damage Prediction, and Construction Specifications Review

This presentation introduces three representative deep learning research studies that have been conducted by the Construction Innovation Laboratory at Seoul National University for the past five years: site video analysis for automated earthmoving productivity estimation, bridge damage prediction for preventive bridge maintenance, and text mining for automated construction specifications review.

Dr. Seokho Chi is an associate professor in Civil and Environmental Engineering at Seoul National University, Korea. After obtaining B.S. in Civil and Environmental Engineering from Korea University, he received his M.S. and Ph.D. degrees in Civil Engineering from University of Texas at Austin (UT Austin). Before joining Seoul National University in 2013, Dr. Chi worked at Center for Transportation Research in UT Austin, and Queensland University of Technology, Australia.