Takahiro Yamaguchi, Ph. D.
Project Researcher, Institute of Industrial Science, the University of Tokyo (2022.3.)
Email: tyamag@iis.u-tokyo.ac.jp

Highlights:
Experiences in the state-of-the-art sensing techniques of infrastructures:
roads, subsurface, bridges and tunnels by radar, laser, camera and dynamicvibration incorporating signal and image processing, inverse analysis,machine and deep learning approaches. Having published a number ofarticles on top level international journals and being awarded by the societiesof civil engineers and university.

Experiences:
2021.4.-

Project Researcher, Institute of Industrial Science, the University of Tokyo.
(東京大学生産技術研究所特任研究員 )2020.9.2021.3.

Research Fellow PD, Japan Society for the Promotion of Science.
(日本学術振興会 PD)

2018.4.2020.8.

Research Fellow DC1, Japan Society for the Promotion of Science.
(日本学術振興会 DC1)

2017.9.2018.3.

Research Assistant, Graduate School of Engineering, the University of Tokyo.
(東京大学大学院工学系研究科リサーチアシスタント RA)

Education:
2020.8.

Doctor of Philosophy, Department of Civil Engineering, Graduate School ofEngineering, the University of Tokyo.

2017.3.

Master’s Degree, Department of Civil Engineering, Graduate School ofEngineering, the University of Tokyo.

2015.3.

Bachelor’s Degree, Department of Civil Engineering, Faculty of Engineering,
the University of Tokyo.

Publications:In English, reviewed:1)

2)

Tsukasa Mizutani, Takahiro Yamaguchi, Tomoshi Kudo, Kazutomo Yamamoto, TetsuyaIshida, Yoshifumi Nagata, Hinari Kawamura, Tomoaki Tokuno, Kiyoshi Suzuki and Yuuya
Yamaguchi, Quantitative Evaluation of Peeling and Delamination on Infrastructure Surfaces
by Signal and Image Processing of 3D Point Cloud Data, Automation in construction,
No.133.104023, 2022.
Takahiro Yamaguchi, Tsukasa Mizutani and Tomonori Nagayama, Mapping Subsurface
Utility Pipes by 3D Convolutional Neural Network and Kirchhoff Migration using GPR
Images, IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, No. 8, pp. 6525 -3)

4)

5)6536, 2021.
Takahiro Yamaguchi, Tsukasa Mizutani, Detection and localization of manhole and joint
covers in radar images by support vector machine and Hough transform, Automation inConstruction, No. 126.103651, 2021.
Takahiro Yamaguchi, Tsukasa Mizutani, Minoru Tarumi and Di Su, Sensitive Damage
Detection of Reinforced Concrete Bridge Slab by “Time-Variant Deconvolution” of SHFBand Radar Signal, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 7,pp.1478 - 1488, 2019.
Tsukasa Mizutani, Nagisa Nakamura, Takahiro Yamaguchi, Minoru Tarumi, Yusuke Ando,and Ikuo Hara, Bridge Slab Damage Detection by Signal Processing of UHF-Band Ground
Penetrating Radar Data, Journal of Disaster Research, Vol.12, No.3, pp. 415 - 421, 2017.

日本語，査読有：6) 山口貴浩，水谷司，三次元畳込みニューラルネットワークと FDTD 法によるレーダー信号からの空洞検知，生産研究，No. 73，Vol. 5，2021.
7) 山口貴浩，水谷司，三次元畳込みニューラルネットワークとキルヒホッフマイグレーションによる地中埋設管の検知，生産研究，No. 72，Vol. 4，pp. 53 - 57，2020.
8) 山口貴浩，長山智則，蘇迪，カルマンフィルタを用いた自転車走行時の振動応答による簡易かつ高精度な舗装の路面プロファイル推定，土木学会論文集 E1，No. 75，Vol. 1，pp. 17 - 26，2019.

Conferences:In English, oral:1)

2)
3)

4)

5)

6)

7)

8)

Takahiro Yamaguchi, Tsukasa Mizutani, Localization of subsurface pipes in Radar imagesby 3D convolutional neural network and Kirchhoff migration, IEEE IGARSS, Online,
2021.7.
Takahiro Yamaguchi, Tsukasa Mizutani, Subsurface Pipe Detection by 3D Convolutional
Neural Network and Kirchhoff Migration, USMCA, Yangon, Myanmar, 2019.12
Takahiro Yamaguchi, Tsukasa Mizutani, Di Su, Highly sensitive damage detection ofreinforced concrete bridge slab by “time-variant deconvolution” of SHF-band radar signal,
IABSE Symposium, Nante, France, 2018.9.
Takahiro Yamaguchi, Tsukasa Mizutani, Di Su, Advancement and Accuracy Evaluation ofAutomatic Damage Detection Algorithm for Concrete Bridge Deck by Ground Penetrating
Radar, The 7th World Conference on Structural Control and Monitoring, Tokyo, Japan,
2018.7.
Takahiro Yamaguchi, Tsukasa Mizutani, Di Su, Advancement and Accuracy Evaluation ofAutomatic and High-Speed Damage Detection Algorithm for Reinforced Concrete Bridge
Deck by Ground Penetrating Radar, The 1st ZHITU Symposium, Zhitu, China, 2018.7.
Takahiro Yamaguchi, Tsukasa Mizutani, Minoru Tarumi, Highly Sensitive Damage
Detection of Reinforced Concrete Bridge Slab by “Time-Variant Deconvolution” of SHFBand Radar Signal, The 13th International Workshop on Advanced Smart Materials andSmart Structures Technology (ANCRiSST), Tokyo, Japan, 2017.7.
Tsukasa Mizutani, Nagisa Nakamura, Takahiro Yamaguchi, Minoru Tarumi and Yusuke
Ando, Signal Processing for Fast RC Bridge Slab Damage Detection by using UHF-Band
Radar, 6th APWSHM, Tasmania, Australia, 2016.
Tsukasa Mizutani, Nagisa Nakamura, Takahiro Yamaguchi, Minoru Tarumi and Yusuke9)Ando, Signal Processing for Automatic Bridge Slab Damage Detection by using FastScanning Non-Contact On-Vehicle Radar, The 7th International Conference of AsianConcrete Federation, Hanoi, Vietnam, 2016.11.
Takahiro Yamaguchi, Tomonori Nagayama, Di Su, Simple Estimation of Bicycle lane
Condition by using the Dynamic Response of a Bicycle, Joint Conference of 6th AESE and11th ANCRiSST, University of Illinois, USA, 2015.8.

日本語，口頭：10) 山口貴浩，水谷司，三次元畳込みニューラルネットワークと FDTD 法によるレーダー信号からの空洞検知，土木学会第 76 回年次学術講演会，オンライン，2021.9.
11) 山口貴浩，水谷司，地中レーダ信号の深層学習と解析学的信号処理による埋設管の三次元位置情報の推定，土木学会第 75 回年次学術講演会，オンライン，2020.9.
12) 山口貴浩，長山智則，蘇迪，自転車の振動応答と傾斜角測定に基づく路面プロファ
イル推定，土木学会第 74 回年次学術講演会，香川，2019.9.
13) 山口貴浩，水谷司，垂水稔，地中レーダによる床版内部の異常検知アルゴリズムにおける気象条件の検知精度への影響分析，土木学会第 73 回年次学術講演会，北海道，2018.8.
14) 水谷司, 山口貴浩，水谷司，地中レーダによる実橋梁データからの全自動・高速な異常検知アルゴリズムの構築，土木学会第 73 回年次学術講演会，北海道，2018.8.
15) 山口貴浩，水谷司，垂水稔，ＳＨＦ帯地中レーダ信号の時変逆畳込み演算によるＲＣ床版内部の損傷の高感度検知，第 72 回土木学会年次学術講演会，福岡，2017.9.
16) 山口貴浩，長山智則，蘇迪，自転車道を対象とした走行時の振動応答による舗装路面の簡易な状態評価，第 70 回土木学会年次学術講演会，岡山，2015.9.

In English, poster:17) Takahiro Yamaguchi, Tsukasa Mizutani, Subsurface Pipes Detection by 3D Convolutional
Neural Network and Kirchhoff Migration Using Radar Images, 8th Joint Student Seminar on
Civil Infrastructures, Bangkok, Thailand, 2019.9.

Awards:1)

Best Presentation Award, Japan Society of Civil Engineering, 2020.
(土木学会年次講演会優秀講演者賞，2020.)

2)

the 1st ZHITU Symposium Best Presentation Award, 2018.

3)

Patent，(取得)特開 2017-40486(P2017-40486A)，自転車の振動応答を利用した路面
プロファイル測定装置並びに測定方法，長山智則，山口貴浩，蘇迪，水谷司，2017.2.

4)

Best Master Thesis Award, Department of Civil Engineering, school of Engineering, theUniversity of Tokyo, 2016.
(古市賞 ,社会基盤学専攻修士優秀論文賞 , 2016.)