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🌍  Ground Motions
📐  Structural Dynamics
⚡  Seismic Assessment
Civil & Earthquake Engineer

TURNING
GROUND MOTION
into safer cities.

MSc Earthquake Engineering — Shahid Beheshti University, Tehran, Iran
BSc Civil Engineering — Sharif University of Technology, Tehran, Iran

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🏛️ Portrait of Pouya H. Khosravi — Civil and Earthquake Engineer
Pouya H. Khosravi
Nonlinear AnalysisSHM OpenSeesComputer Vision ETABSMachine Learning AutoCADGraph Theory
🎓MSc — Shahid Beheshti Univ.
🎓BSc — Sharif Univ. of Tech.
📍Tehran, Iran
📧Pouya.khosravihajivand@gmail.com
🟢Open to collaborations
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Earthquake Engineering✦ Structural Dynamics✦ Seismic Analysis✦ RC Structures✦ Fragility Analysis✦ OpenSees Modelling✦ ETABS · SAP2000✦ Performance-Based Design✦ Ground Motions✦ Earthquake Engineering✦ Structural Dynamics✦ Seismic Analysis✦ RC Structures✦ Fragility Analysis✦ OpenSees Modelling✦ ETABS · SAP2000✦ Performance-Based Design✦ Ground Motions✦
Earthquake Engineering
SEISMIC
Where structural dynamics meets real-world resilience
Research Focus

Built on
rigorous
science.

From computer vision and graph theory to machine learning-driven seismic assessment — every study grounded in computational precision and real-world structural health monitoring.
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Conf. papers
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Yrs in research
RESILIENCE
🌐
Computer Vision & Graph Theory
Graph theory and computer vision-based assessment of structural components for post-earthquake damage evaluation and structural health monitoring.
📐
Seismic Assessment
Machine learning-driven assessment of structural components using post-earthquake damage databases.
⚡
Ground Motion Tools
Python and C# automation for record selection, scaling, and CMS-compatible spectral matching.
Recent Research

Selected Publications

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Cover of journal article: Signal processing methods for structural health monitoring of bridges
2026
Journal
Journal of Advances in Bridge Engineering
Signal processing methods for structural health monitoring of bridges: A comprehensive review of classical, data-driven, and hybrid approaches
Journal Article
Signal processing methods for structural health monitoring of bridges: A comprehensive review of classical, data-driven, and hybrid approaches
P. Khosravi Hajivand, S.M.M Emami, A. Safaeimehr, H. Hosseini, and S. Mahboubi
Journal of Advances in Bridge Engineering — Springer Nature 2026
SHMMachine LearningModal Analysis
Read Paper ↗
2026
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What you'll find here

🔬
Projects
Developed software for analyzing the behavior of structures of structural components under seismic events.
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✍️
Blog
Field notes on near-field motions, OpenSees vs ETABS, and the craft of seismic research.
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📋
CV
Full academic timeline — education, research roles, teaching, awards, and certifications.
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