Charles V. Camp

About

Charles V. Camp is a Professor at the University of Memphis, USA. His research focuses on structural engineering, particularly in the assessment and application of machine learning techniques such as convolutional neural networks for crack detection, optimization through swarm intelligence, and population-based optimization methods. His recent publications include works on deep learning for visual crack detection and the use of active learning to improve response history analyses in structural applications.