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Jia Guo

Associate Professor

Kyoto University

Japan

Research Interests

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Professors in Japan Professors in Structural Engineering Structural Engineering professors in Japan

About

Jia Guo is an Associate Professor at Kyoto University, Japan. His research areas include structural earthquake response monitoring, seismic performance of reinforced concrete structures, and data-driven modeling for nonlinear structural behavior. His recent articles focus on innovative methods for analyzing seismic impacts using surveillance video and advanced modeling techniques.

Articles (14)

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2021

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2020

Collaborators (3)

Kohju Ikago

Professor

Kyoto University

JAPAN

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Chin-Long Lee

Associate Professor

University of Canterbury

NEW ZEALAND

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Ryuta Enokida

Associate Professor

Tohoku University

JAPAN

View details

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Jia Guo

Research Interests

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About

Articles (14)

Calibrating Vaiana–Rosati phenomenological model for generic symmetric/asymmetric hysteretic behaviors by enhanced response sensitivity analysis

SIE: Structural identification encoders for self-supervised learning of nonlinear dynamic systems using computer vision with limited physical knowledge

Dynamic response reconstruction of high-rise buildings under hazards using a Pyramid-LSTM-Attention network

Intersection tracking based on line segment matching for automated structural seismic response monitoring from occluded surveillance videos

A method for automatic monitoring structural earthquake response using surveillance video

Method of extracting structural seismic response from blurred surveillance videos based on line matching technique

Improving EFDD with Neural Networks in Damping Identification for Structural Health Monitoring

Bidirectional seismic performance and design approach of RC infill wall with PVC tubes

Combination of physics‐based and data‐driven modeling for nonlinear structural seismic response prediction through deep residual learning

Performance Examination of Nonlinear Signal-Based Control in Shake Table Experiments with Sliding Structures

Nonlinear signal‐based control for shake table experiments with sliding masses

Data-driven modeling of general damping systems by k-means clustering and two-stage regression

Displacement measurement and nonlinear structural system identification: A vision‐based approach with camera motion correction using planar structures

Vision-Based Building Seismic Displacement Measurement by Stratification of Projective Rectification Using Lines

Collaborators (3)

Kohju Ikago

Chin-Long Lee

Ryuta Enokida

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