Dr. Barbaros Cetiner, SimCenter post-doctoral researcher, participated in the AGU annual meeting (AGU24) held on December 9-13, 2024, in Washington D.C. The meeting convenes over 25,000 global attendees in earth and space sciences to share research and strengthen connections with each other.

In addition to meeting research colleagues at the NHERI booth, Dr. Cetiner presented two papers in the poster hall:

• "Machine Learning-Supported Extraction of Probabilistic Building Inventories" by Barbaros Cetiner, Aakash Bangalore Satish, Sang-ri Yi, Adam Zsarnóczay, Dimitrios Giovanis, Frank McKenna, and Ertugrul Taciroglu. This work highlighted SimCenter’s BRAILS++ computational engine that includes data fusion approaches for inventorying buildings at a regional level, AI-assisted building feature prediction capabilities, and data imputation approaches for inferring missing data from available features using probabilistic statistical imputation methods.
   
• "AI-Supported Automated Building Damage Detection from Reconnaissance Imagery" by Barbaros Cetiner, Jeffrey Berman, Joseph Wartman, and Frank McKenna. This work describes how SimCenter’s BRAILS++ enables automated processing of NHERI Rapid image datasets, and how the software’s open architecture can be used for sustained improvements in AI-supported methods for automated post-disaster damage quantification.