Bayesian calibration
Conference Paper
Sensitivity and Uncertainty Assessment of Lead Rubber Bearing Constitutive Models using a Bayesian Framework
Current status
Work in progress
I'm currently working on research manuscripts and technical outputs related to structural engineering, artificial intelligence, computational modeling, and seismic applications.
Until those works are public, this page records the active research direction and keeps placeholder publications out of the site to avoid confusion.
Manuscripts in Preparation
Working titles and research outputs to be formalized once each item is ready to share publicly
UAV
SIBridge
Automatic damage segmentation and inspection workflow for reinforced concrete bridges using UAV imagery.
Database
TremorBank
Curated database structure for vibration and seismic monitoring records from operational isolators.
Methods
Uncertainty-aware modeling
Parameter identification and model calibration workflows for nonlinear structural systems.
Tools
Reproducible structural computing
Educational and research workflows for transparent Python-based structural analysis.
Research Themes
The publication list will grow around these lines of work.
Theme
AI for structural engineering
Machine learning, signal processing, and data-driven workflows for engineering interpretation.
Theme
Seismic and dynamic response
Computational analysis of structural response, vibration, spectra, and seismic applications.
Theme
Scientific computing
Reproducible Python workflows for structural models, figures, scripts, and teaching material.