Saida, Taisei(Graduate School of Engineering, Division of Urban Management) | Activity Database on Education and Research, Kyoto University

Saida, Taisei

Graduate School of Engineering, Division of Urban Management Assistant Professor

Last Updated :2026/08/20

Basic Information

Faculty

Faculty of Engineering

Email Address

Email Address
saida.taisei.7nkyoto-u.ac.jp

Professional Memberships

計算工学会

土木学会

Academic Degree

31 Mar. 2023
修士（工学）（筑波大学）

31 Mar. 2026
博士（工学）（筑波大学）

Academic Resume (Graduate Schools)

University of Tsukuba, Graduate School of Systems and Information Engineering, Degree Program in Engineering Mechanics and Energy, Ph.D. in Engineering

University of Tsukuba, Graduate School of Systems and Information Engineering, Degree Program in Engineering Mechanics and Energy, Master of Engineering

Academic Resume (Undergraduate School/Majors)

筑波大学, 理工学群工学システム学類, 卒業

Research History

From Apr. 2026, To Present
Kyoto University, 工学研究科都市社会工学専攻, 助教

From Apr. 2024, To Mar. 2026
Japan Society for the Promotion of Science, 特別研究員-DC2

From Jun. 2023, To Sep. 2023
Lawrence Livermore National Laboratory, Data Science Summer Institute

ID,URL

ORCID ID
0000-0002-2678-5286
J-Global ID
202301011329086178
External link
https://profile.tsaida.net/

researchmap URL

https://researchmap.jp/taisei_saida

Last Updated :2026/08/20

Research

Papers

ExSRNet: Explainable deep learning model for seismic response prediction with frequency attention mechanism
Taisei Saida; Mayuko Nishio
Engineering Structures, Nov. 2025, Peer-reviewed, Lead author, Corresponding author

Optical Flow‐Based Structural Anomaly Detection in Seismic Events From Video Data Combined With Computational Cost Reduction Through Deep Learning
Sifan Wang; Taisei Saida; Mayuko Nishio
Structural Control and Health Monitoring, Jan. 2025, Peer-reviewed

System fragility analysis of highway bridge using multi-output Gaussian process regression surrogate model
Taisei Saida; Muhammad Rashid; Mayuko Nishio
Advances in Structural Engineering, 16 Oct. 2024, Peer-reviewed, Lead author, Corresponding author

Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties
Taisei Saida; Mayuko Nishio
Computers & Structures, Jun. 2023, Peer-reviewed, Lead author, Corresponding author

TL-GPRSM: A python software for constructing transfer learning Gaussian process regression surrogate model with explainability
Taisei Saida; Mayuko Nishio
Software Impacts, May 2023, Peer-reviewed, Lead author, Corresponding author

CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images
Taisei Saida; Muhammad Rashid; Yudai Nemoto; Shota Tsukamoto; Takehiko Asai; Mayuko Nishio
Earthquake Engineering and Engineering Vibration, 25 Apr. 2023, Peer-reviewed, Lead author

CONSTRUCTION OF GAUSSIAN PROCESS REGRESSION SURROGATE MODEL FOR NONLINEAR SEISMIC RESPONSE ANALYSIS USING ARD KERNEL
Taisei SAIDA; Mayuko NISHIO
Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)), 2021, Peer-reviewed, Lead author

Misc.

Large-Scale Structural Anomaly Detection During Seismic Events Using Optical Flow and Transfer Learning from Video Data
Sifan Wang; Taisei Saida; Mayuko Nishio
13th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2025, Peer-reviewed

Seismic Fragility Assessment using Explainable Deep Kernel Learning Surrogate Model considering Structural and Seismic Uncertainties
Taisei Saida; Mayuko Nishio
IABSE Reports, 2025, Peer-reviewed, Lead author

AttentionCNNを用いた工学的説明性の高い地震応答予測サロゲートモデルの構築
才田大聖; 西尾真由子
計算工学講演会論文集, Jun. 2024, Lead author

Gaussian Process Regression Surrogate Model for Seismic Vulnerability Assessment of Highway Bridge Structure System
Taisei Saida; Rashid Muhammad; Mayuko Nishio
Lecture Notes in Civil Engineering, 29 Aug. 2023, Peer-reviewed, Lead author

Digital twin framework for real-time dynamic analysis visualization with detecting dynamic changes in structures properties using PINN
Toko Okuda; Taisei Saida; Gen Matono; Mayuko Nishio
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 18 Apr. 2023

Gaussian process regression surrogate model for dynamic analysis to account for uncertainties in seismic loading
Taisei Saida; Mayuko Nishio
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 18 Apr. 2023, Lead author

Improvement of explainability of surrogate model for particle method by deep learning that include differential operations based on the SPH method
的野玄; 才田大聖; 西尾真由子
計算工学講演会論文集, 2023

Real-time AR visualization of PINN structural vibration analysis
奥田東子; 西尾真由子; 才田大聖; 的野玄
計算工学講演会論文集, 2023

Transfer training for Gaussian process regression surrogate modeling for computational cost reduction of structural performance analysis
才田大聖; 西尾真由子
計算工学講演会論文集, 2022, Lead author

Construction of Gaussian process regression surrogate model for nonlinear seismic response analysis using ARD kernel
才田大聖; 西尾真由子
計算工学講演会論文集, 2021, Lead author

Presentations

実構造物の地震応答予測のためのモード重ね合わせ法に基づいた転移学習
才田大聖
第45回若手地震工学研究者の会セミナー, 25 Jul. 2026

深層学習による構造物地震応答予測における工学的な説明性とその妥当性の検証
才田大聖; 西尾真由子
第31回計算工学講演会, 03 Jun. 2026

モード重ね合わせ法に基づく転移学習による少数観測データからの構造物地震応答予測（シンポジウム講演概要）
才田大聖; 西尾真由子
第29回応用力学シンポジウム, 17 May 2026

構造物地震応答予測のための1自由度系応答データを用いた転移学習
才田大聖; 西尾真由子
JSCES 夏季学生講演会 2025, 21 Sep. 2025

CNNによる地震動特徴量の抽出機構を有するガウス過程サロゲートモデルによる地震フラジリティ解析
才田大聖; 西尾真由子
令和7年度土木学会全国大会, 12 Sep. 2025

Large-Scale Structural Anomaly Detection During Seismic Events Using Optical Flow and Transfer Learning from Video Data
Sifan Wang; Taisei Saida; Mayuko Nishio
13th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 02 Sep. 2025

(キーノート講演)転移学習を用いた深層学習モデルによる観測データを基にした構造物地震応答の予測
才田大聖; 西尾真由子
第30回計算工学講演会, 04 Jun. 2025

Seismic Fragility Assessment using Explainable Deep Kernel Learning Surrogate Model considering Structural and Seismic Uncertainties
Taisei Saida; Mayuko Nishio
IABSE Symposium Tokyo 2025, 20 May 2025

周波数領域での解釈性を有する構造物地震応答予測モデルの観測データによる学習（シンポジウム講演概要）
才田大聖; 西尾真由子
第28回応用力学シンポジウム, 17 May 2025

Learning particle method simulation for solid and fluid mechanics
Mayuko Nishio; Gen Matono; Taisei Saida
16th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences: Program of Parallel sessions, 08 Oct. 2024

Attention機構を周波数領域に適用する説明性のある地震応答代替モデルの構築
才田大聖; 西尾真由子
JSCES 夏季学生講演会 2024, 16 Sep. 2024

周波数領域へのAttention機構適用による説明性のある地震応答代替モデルの構築
才田大聖; 西尾真由子
令和6年度土木学会全国大会第79回年次学術講演会, 06 Sep. 2024

A seismic response prediction surrogate model with engineering explainability using attention-embedded CNN
Taisei Saida; Mayuko Nishio
16th World Congress on Computational Mechanics & 4th Pan American Congress on Computational Mechanics, 25 Jul. 2024

AttentionCNNを用いた工学的説明性の高い地震応答予測サロゲートモデルの構築
才田大聖; 西尾真由子
第29回計算工学講演会, 12 Jun. 2024

高次元不確定性を扱う構造信頼性解析への正則化深層カーネル学習サロゲートモデル構築（シンポジウム講演概要）
才田大聖; 西尾真由子
第27回応用力学シンポジウム, 26 May 2024

深層カーネル学習代替モデルによる高架橋システムの地震フラジリティ解析
才田大聖; Rashid Muhammad; 西尾真由子
第10回構造物の安全性･信頼性に関する国内シンポジウム, 27 Oct. 2023

橋梁の地震フラジリティ解析効率化のためのガウス過程回帰代替モデル構築
才田大聖
JSCES 夏季学生講演会 2023, 23 Sep. 2023, Invited

Gaussian Process Regression Surrogate Model for Seismic Vulnerability Assessment of Highway Bridge Structure System
Taisei Saida; Muhammad Rashid; Mayuko Nishio
10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, 31 Aug. 2023

高次元不確定性を扱う構造信頼性解析を効率化するガウス過程ベース代替モデル構築
才田大聖
計算工学会マルチメソッド・新数値解析手法開拓研究会第5回研究会, 12 Jun. 2023, Invited

PINN構造振動解析のARによるリアルタイム可視化
奥田東子; 西尾真由子; 才田大聖; 的野玄
第28回計算工学講演会, 01 Jun. 2023

SPH法に基づく微分演算を内包した深層学習による粒子法代替モデルの説明性向上
的野玄; 才田大聖; 西尾真由子
第28回計算工学講演会, 01 Jun. 2023

深層カーネル学習サロゲートモデルによる高次元不確定性をもつ構造信頼性解析の効率化
才田大聖; Rashid Muhammad; 西尾真由子
第28回計算工学講演会, 31 May 2023

地震荷重特徴抽出を備えた深層カーネル学習代替モデルによる地震リスク解析の効率化（シンポジウム講演概要）
才田大聖; 西尾真由子
第26回応用力学シンポジウム, 28 May 2023

Gaussian process regression surrogate model for dynamic analysis to account for uncertainties in seismic loading
Taisei Saida; Mayuko Nishio
SPIE Smart Structures + NDE, 16 Mar. 2023

Digital twin framework for real-time dynamic analysis visualization with detecting dynamic changes in structures properties using PINN
Toko Okuda; Taisei Saida; Gen Matono; Mayuko Nishio
SPIE Smart Structures + NDE, 15 Mar. 2023

転移学習ガウス過程回帰代替モデルによる構造性能解析の計算負荷低減
才田大聖; 西尾真由子
令和5年度全国大会第78回年次学術講演会, 16 Sep. 2022

Gaussian Process Regression Surrogate Modeling with Transfer Learning for Low Computational Cost Structural Reliability Analysis
Taisei Saida; Mayuko Nishio
15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics, 03 Aug. 2022

転移学習ガウス過程回帰サロゲートモデルによる構造性能解析の計算負荷低減
才田大聖; 西尾真由子
第27回計算工学講演会, 02 Jun. 2022

ARDカーネルによる非線形地震応答解析のガウス過程回帰代替モデル構築
才田大聖; 西尾真由子
第26回計算科学講演会, 27 May 2021

ARDカーネルによる非線形地震応答解析のガウス過程回帰代替モデル構築
才田大聖; 西尾真由子
第24回応用力学シンポジウム, 15 May 2021

Works

TL-GPRSM: A python software for constructing transfer learning Gaussian process regression surrogate model with explainability
Taisei Saida
From Mar. 2023

Awards

01 Oct. 2021
応用力学講演賞（土木学会）

05 Jul. 2022
Honorable Mention（ANCRiSST）

16 Sep. 2024
優秀ポスター賞（日本計算工学会）

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