23 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Toward using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
Mohsen Zaker Esteghamati
This study presents a methodology to treat performance-based seismic design as an inverse engineering problem, where design parameters are directly derived to achieve specific perf…
cs.LG2024★ 23 cited
Beyond development: Challenges in deploying machine learning models for structural engineering applications
Mohsen Zaker Esteghamati, Brennan Bean, Henry V. Burton +1
Machine learning (ML)-based solutions are rapidly changing the landscape of many fields, including structural engineering. Despite their promising performance, these approaches are…