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Field Notes & Technical Writing

FIELD
Notes.

Notes on earthquake engineering, structural analysis, computational methods, research practice, and the process of turning technical questions into useful knowledge.

Articles: 5
Topics: 7 categories
Latest: Jul 2026
✦ Latest Article
MSc Defense — Computer Vision-based Lateral Strength and Stiffness Loss Estimation for Seismically Damaged RC Columns Using Graph Theory and Machine Learning
Research Milestone Jul 1, 2026
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Earthquake Engineering✦ Structural Dynamics✦ Seismic Assessment✦ Structural Health Monitoring✦ Computer Vision✦ Machine Learning✦ Graph-Based Methods✦ Engineering Computation✦ Research Methods✦
Blogs
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Good engineering questions often begin with a simple observation.
The challenge is to turn that observation into a model, a measurement, or a method that can be examined and improved.

On engineering, research, and the value of asking better questions
Areas of Interest

Several fields.
Connected questions.

The articles span structural and earthquake engineering, computational methods, monitoring, data-driven analysis, and the practical tools used to study structural behavior.

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Earthquake Engineering
Ground motions, seismic response, design concepts, and assessment
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Computer Vision & ML
Image-based assessment, deep learning, graph representations, and data-driven methods
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Software & Methods
Structural analysis, numerical tools, Python, C#, OpenSees, and ETABS
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Structural Health Monitoring
Signal processing, modal analysis, system identification, and damage detection
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Structural Dynamics
Dynamic response, nonlinear behavior, reinforced concrete, and seismic assessment
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All Articles

Recent Articles

All Computer Vision Machine Learning Structural Health Monitoring Seismic Research Software Other