Danny Smyl

Dr. Smyl's research principally focuses on developing tools to better design, understand, monitor, and characterize life cycle processes of structures and materials. To do this, he integrates tomographic, machine learning, and inversion-based numerical approaches to delve deeper into data and unlock key processes that cannot be unveiled using conventional methodologies. The long-term end state of his research is to improve the safety, resilience, longevity, and environmental friendliness of civil infrastructure by integrating intelligent algorithms and meaningful spatial-temporal data acquisition. In addition to research in civil and structural engineering, he is actively involved in research within inverse problems, applied mathematics, and medical imaging.