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Danny Smyl is an Assistant Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His research focuses on developing tools to design, monitor, and characterize the life-cycle behavior of structures and materials. He integrates advanced methods such as tomographic sensing and inverse problems with machine learning to quantify uncertainties. Dr. Smyl's group works on key themes including data-driven reconstruction for damage imaging, learned model-error compensation, and utilizing machine learning for structural design optimization workflows that incorporate physics constraints and performance metrics. In addition to his research, he serves as an Associate Editor for the Journal of Nondestructive Evaluation and is a voting member of ACI committees. Dr. Smyl also has experience as a Combat Engineer Officer in the U.S. Marine Corps, having served a tour in Afghanistan. He teaches courses that connect core mechanics of structural engineering with modern computational methods, focusing on areas such as deformable bodies, civil engineering materials, and probabilistic decision-making.
Department of Computer Science: GRE scores are optional for Fall 2026.