📢 New Research Published! Our paper in the Journal of Seismology delves into seismic hazards in urban areas and the challenges of assessing earthquake impacts in regions with limited data.

Authored by S. M. Sajad Hussaini, Shaghayegh Karimzadeh, and Paulo B. Lourenço from the S4H Team, in collaboration with Caglar Temiz and Aysegul Askan from Middle East Technical University, the study simulates four earthquakes (magnitudes 6.8–7.7) along the North Tabriz Fault, a seismic gap with a history of major events but sparse records. Using stochastic finite-fault modeling, the research identifies high hazard levels near the fault and then develops a region-specific Ground Motion Model (GMM) powered by Artificial Neural Networks (ANN), accessible via an online platform and GitHub. The simulated dataset is also available here.