- Ph.D., Civil Engineering, University of Illinois, Urbana-Champaign, 2022
- M.S., Civil and Environmental Engineering, Stanford University, 2011
- B.S., Geological and Environmental Sciences, Stanford University, 2010
- Professional Engineer Civil, California, #81451
- Professional Engineer Structural, California, #6436
- Research Assistant, University of Illinois at Urbana-Champaign, 2017-2022
- American Society of Civil Engineers (ASCE)
- Structural Engineers Association of Northern California (SEAONC)
Dr. Levine specializes in the design, analysis, evaluation, repair, and retrofit of buildings. He has extensive experience in structural health monitoring (SHM), having developed methods to use computer graphics and computer vision for post-disaster infrastructure assessment.
Dr. Levine has worked on a variety of building types, including laboratories, hospitals, K-12 education, and industrial facilities, and with a variety of materials, including steel, concrete, masonry, and wood. Dr. Levine has developed complex details for repairs and seismic retrofits to existing structures with minimal disruption. As part of a national infrastructure monitoring and management effort, he developed methods for monitoring inland waterway navigation structures, such as locks and dams. Dr. Levine's experience in SHM extends to various technologies, including vibration-based SHM and drones for visual monitoring and post-disaster condition assessment. He also has experience conducting large-scale structural testing.
Dr. Levine's Ph.D. research focused on the use of drones for rapid post-earthquake performance assessment of buildings. By connecting a photographic drone survey with a building information model, he developed a method to link automatically identified structural damage with a performance-based earthquake assessment. This work enables rapid, automated assessment of earthquake damaged buildings. To develop and prototype this method, Dr. Levine created a 3D virtual computer graphics environment where drone surveys and images of earthquake-damaged buildings could be simulated photorealistically. This virtual environment enables research on novel methods for computer vision-based post-disaster response where existing data may be unavailable.