Michael Bekele Maru holds a Ph.D. in Engineering (Structural Engineering) from Sungkyunkwan University and is currently a postdoctoral researcher at Smart Construction Information Technology Lab. His expertise lies in Lidar-based structural health monitoring, automatic damage assessment of civil structures using spatial and radiometric information, and digital twin-enabled 3D reconstruction models for enhancing structural health monitoring. Michael has successfully developed and validated methods for damage detection and quantification through experimental investigations, demonstrating their effectiveness in improving structural performance. His work includes implementing digital twin-enabled techniques to advance structural health monitoring, 3D reconstruction, and damage assessment. Notable his research highlights include the application of point cloud and image fusion for assessing structural surface health and the use of machine learning techniques in damage detection. Furthermore, Michael has worked on developing a calibration model for LiDAR point cloud radiometric information to improve the efficiency of point cloud data in revealing structural surface details. By focusing on advancing data fusion techniques and deep learning models, Michael aims to enhance structural health monitoring mechanisms and maintenance practices within the Architecture, Engineering, and Construction (AEC) field.
Combined Ms and PhD in Civil Engineering, 2024
Sungkyunkwan University, Suwon , South Korea
BS in Civil Engineering, 2015
Addis Ababa University, Addis Ababa