Journal paper (Reviewed)

• Takao Dantsuji, Yuki Takayama：Hypercongestion, autonomous vehicles, and urban spatial structure,, Transportation Science, in press. English. https://doi.org/10.1287/trsc.2024.0519
• Taichi Ishikawa and Riki Honda：Deep Learning-based interpretation method of bridge point cloud data considering uncertainty, Journal of JSCE Special issue（Applied Mechanics）, No. 15, 2024. (in Japanese).
• Kosuke Kinoshita, Yukihiro Yano, Takahiro Kumura, Takashi Miyamoto, Pang-jo Chun：Comparative analysis of time-series InSAR bridge deformation analysis and structural simulation for a hinged PC bridge, Artificial Intelligence and Data Science, Vol. 5, No. 3, pp. in press, 2024. (in Japanese).
• Naomichi Katayama, Pang-jo Chun：Potential of digital twin in seismic emergency inspection of road bridges, Artificial Intelligence and Data Science, Vol. 5, No. 3, pp. in press, 2024. (in Japanese).
• Kenta Itakura, Takuya Hayashi, Yuto Kamiwaki, Pang-jo Chun：Semantic segmentation and sensor fusion in point cloud processing for estimation of bridge structural parameters, Artificial Intelligence and Data Science, Vol. 5, No. 3, pp. in press, 2024. (in Japanese).
• Kenta Itakura, Takuya Hayashi, Yuto Kamiwaki, Pang-jo Chun：Noise Removal from Point Clouds through Sensor Fusion of LiDAR and Camera, Artificial Intelligence and Data Science, Vol. 5, No. 3, pp. in press, 2024. (in Japanese).
• Pang-jo Chun, Honghu Chu, Kota Shitara, Tatsuro Yamane, Yu Maemura：Implementation of explanatory texts output for bridge damage in a bridge inspection web system, Advances in Engineering Software, Vol. 195, pp. 103706, 2024. English.
• "Pang‐jo Chun, Toshiya Kikuta：Self-training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation, Computer‐Aided Civil and Infrastructure Engineering, Vol. 39, No. 17, pp. 2642-2661， 2024. English. "
• Takashi Miyamoto：Reconstructing complex 3D surface of roadways from point cloud data, Proceedings of 2024 IEEE International Geoscience and Remote Sensing Symposium, pp. 5453-5456， 2024. English.
  https://doi.org/10.1109/IGARSS53475.2024.10642114
• Kinoshita Kosuke, Yano Yukihiro, Kumura Takahiro：Comparison of anomalous displacement detectability of bridges between X and C band InSAR data: Case study on a collapse of water pipe bridge, European Workshop on Structural Health Monitoring (EWSHM 2024), Potsdam, Germany, 2024. English.
  https://doi.org/10.58286/29761
• Pang-jo Chun：Current Status and Prospects of Artificial Intelligence Technologies for Further Utilization of Urban 3D Digital Twins, Journal of structures and materials in civil engineering, Vol. 39, pp. 19-28， 2024. (in Japanese).
  https://doi.org/10.60345/kabse.39.0_19
• Pang-jo Chun：AI-Driven 3D Digital Twins for Smart Cities, Concrete Journal, Vol. 62, No. 9, pp. 732-737， 2024. (in Japanese).
• Kumura Takahiro, Kinoshita Kosuke, Yano Yukihiro：Towards the Development of a Bridge Displacement Analysis System Using Remote Sensing, Vol. 58, No. 8, pp. 115-118， 2024. (in Japanese).
• Taichi Ishikawa and Riki Honda：Deep Learning-based interpretation method of bridge point cloud data considering uncertainty，Journal of JSCE Special issue（Applied Mechanics），No. 15，2024．(in Japanese)
• Pang-jo Chun：Current Status and Prospects of Artificial Intelligence Technologies for Further Utilization of Urban 3D Digital Twins，Journal of structures and materials in civil engineering，Vol. 39，pp. 19-28，2024．
  https://doi.org/10.60345/kabse.39.0_19(in Japanese)
• Pang-jo Chun, Honghu Chu, Kota Shitara, Tatsuro Yamane, Yu Maemura：Implementation of explanatory texts output for bridge damage in a bridge inspection web system，Advances in Engineering Software，Vol. 195，pp. 103706-，2024．English
• Pang‐jo Chun, Toshiya Kikuta：Self-training with Bayesian neural networks and spatialpriors for unsupervised domain adaptation in crack
  segmentation，Computer‐Aided Civil and Infrastructure Engineering，Vol. 39，No. 17，pp. 2642-2661，2024．English
• Shuuhei Abe, Pang-jo Chun, Wakana Asano：POINT CLOUD SEMANTIC SEGMENTATION CONSIDERING INFORMATION OF BRIDGES，Proceeding of the i-Construction Symposium，Vol. 6，pp. 113-116，2024．(in Japanese)
• Pang-jo Chun：AI-Driven 3D Digital Twins for Smart Cities，Concrete Journal，Vol. 62，No. 9，pp. 732-737，2024．(in Japanese)
• Kosuke Kinoshita, Yukihiro Yano, Takahiro Kumura, Takashi Miyamoto, Pang-jo Chun：Comparative analysis of time-series InSAR bridge deformation analysis and structural simulation for a hinged PC bridge，Artificial Intelligence and Data Science，Vol. 5，No. 3，pp. 掲載決定，2024．(in Japanese)
• Naomichi Katayama, Pang-jo Chun：Potential of digital twin in seismic emergency inspection of road bridges，Artificial Intelligence and Data Science，Vol. 5，No. 3，pp. 掲載決定，2024．(in Japanese)
• Kenta Itakura, Takuya Hayashi, Yuto Kamiwaki, Pang-jo Chun：Semantic segmentation and sensor fusion in point cloud processing for estimation of bridge structural parameters，Artificial Intelligence and Data Science，Vol. 5，No. 3，pp. 掲載決定，2024．(in Japanese)
• Kenta Itakura, Takuya Hayashi, Yuto Kamiwaki, Pang-jo Chun：Noise Removal from Point Clouds through Sensor Fusion of LiDAR and Camera，Artificial Intelligence and Data Science，Vol. 5，No. 3，pp. 掲載決定，2024．(in Japanese)
• Takashi Miyamoto：Reconstructing complex 3D surface of roadways from point cloud data，Proceedings of 2024 IEEE International Geoscience and Remote Sensing Symposium，pp. 5453-5456，2024．
  https://doi.org/10.1109/IGARSS53475.2024.10642114English
• Takao Dantsuji, Yuki Takayama：Hypercongestion, autonomous vehicles, and urban spatial structure，Transportation Science，in press．
  https://doi.org/10.1287/trsc.2024.0519English
• Pang-jo Chun, Tatsuro Yamane, Shreejan Maharjan：Advancing Infrastructure Inspection with AI and 3D Data Platform Integration for Improved Damage Assessment and Enhanced Modeling，Proceedings of International Conference on Sustainable Development，Springer Nature，Vol. ，No. ，pp. 293-306，2024．
  https://doi.org/10.1007/978-981-97-5944-6_24English
• Chao Lin, Shuhei Abe, Shitao Zheng, Xianfeng Li, Pang-jo Chun：A structure‐oriented loss function for automated semantic segmentation of bridge point clouds，Computer‐Aided Civil and Infrastructure Engineering，Wiley，Vol. 40，No. 6，pp. 801-816，2025．
  https://doi.org/10.1111/mice.13422English
• Jie Fang, Taiju Yoneda, Yuya Takahashi and Tetsuya Ishida: Analytical Study on Stress Behavior and Fatigue Durability of RC Deck Slabs with Skewed Angles in Bridges, Proceedings of JCI, Vol.47 (In Japanese)
• Tomoki Takizawa, Ryota Kurihara, Yuya Takahashi, Tetsuya Ishida: Damage Progression Evaluation of RC Slabs by Finite Element Analysis Focusing on Multi-Directional Cracking and Free Lime, Concrete Structure Scenarios、JSMS, Vol.25, (In Japanese)

International conference (Reviewed)

• Yano Yukihiro, Kinoshita Kosuke, Kumura Takahiro：Physics-informed decomposition of LOS displacement for infrastructure monitoring, SPIE Remote Sensing 2024, United Kingdum, Edinburgh, 2024. English.
  https://doi.org/10.1117/12.3031328
• Yano Yukihiro, Kinoshita Kosuke, Kumura Takahiro：Detailed analysis based on vertical and longitudinal deformations estimated from InSAR displacement by data assimilation, European Workshop on Structural Health Monitoring (EWSHM 2024), Potsdam, Germany, 2024. English.
  https://doi.org/10.58286/29757
• Nishio Mayuko, Sawayama Runa, Kinoshita Kosuke, Kumura Takahiro：Correlation analysis of InSAR displacement data and inspection data towards multiple bridge monitoring in transportation network, European Workshop on Structural Health Monitoring (EWSHM 2024), Potsdam, Germany, 2024. English.
  https://doi.org/10.58286/29755
• Pang-jo Chun, Tatsuro Yamane, Shreejan Maharjan：Advancing Infrastructure Inspection with AI and 3D Data Platform Integration for Improved Damage Assessment and Enhanced Modeling , University-Industry Collaborations for Sustainable Development (ICSD) 2024, Colombo, pp. ICSD100, 2024. English.
• Pang-jo Chun, Tatsuro Yamane, Shreejan Maharjan, Shogo Inadomi, Chao Lin, Shitao Zheng and Xianfeng Li：Integrating AI and 3D Data Platform for Advancing Infrastructure Inspection including Enhanced Damage Assessment and Modeling, The 18th East Asia-Pacific Conference on Structural Engineering & Construction (EASEC-18), Thailand, 2024. English.
• Pang-jo Chun, Tatsuro Yamane, Shreejan Maharjan：Advancing Infrastructure Inspection with AI and 3D Data Platform Integration for Improved Damage Assessment and Enhanced Modeling ，University-Industry Collaborations for Sustainable Development (ICSD) 2024，Colombo，pp. ICSD100-，2024．English
• Pang-jo Chun, Tatsuro Yamane, Shreejan Maharjan, Shogo Inadomi, Chao Lin, Shitao Zheng and Xianfeng Li：Integrating AI and 3D Data Platform for Advancing Infrastructure Inspection including Enhanced Damage Assessment and Modeling，The 18th East Asia-Pacific Conference on Structural Engineering & Construction (EASEC-18)，チェンマイ，2024．English
• Yusei Yoshikawa, Yuya Takahashi, Jie Fang, Taiju Yoneda and Tetsuya Ishida：A study on Utilizing Full-Scale FEM Fatigue Simulations for Rapid Performance Evaluations of Road Bridges, The 18th East Asia-Pacific Conference on Structural Engineering & Construction (EASEC-18) “Construction Engineering for a Responsible Growth and Sustainable Future” November 13–15, 2024, Chiang Mai, Thailand
• Hyo Eun Joo, Yuya Takahashi, Taiju Yoneda：Numerical investigations on fatigue life of aging bridges according to maintenance scenarios against disintegration progress, IABSE Symposium 2025 Environmentally Friendly Technologies and Structures - Focusing on Sustainable Approache, 19-21 May 2025, Tokyo, Japan
• Yuya Takahashi, Masahiro Futami, Masato, Nakamura, Jie fang, Taiju Yoneda：Development of High-Speed Cycle Simulation Scheme for Fatigue Life Prediction and Maintenance for a Group of Reinforced and Prestressed Concrete Bridges, IABSE Symposium 2025 Environmentally Friendly Technologies and Structures - Focusing on Sustainable Approache, 19-21 May 2025, Tokyo, Japan
• Kinoshita Kosuke, Yano Yukihiro, Kumura Takahiro：Comparison of anomalous displacement detectability of bridges between X and C band InSAR data: Case study on a collapse of water pipe bridge，European Workshop on Structural Health Monitoring (EWSHM 2024)，Potsdam, Germany，2024．
  https://doi.org/10.58286/29761.
• Yano Yukihiro, Kinoshita Kosuke, Kumura Takahiro：Detailed analysis based on vertical and longitudinal deformations estimated from InSAR displacement by data assimilation，European Workshop on Structural Health Monitoring (EWSHM 2024)，Potsdam, Germany，2024．
  https://doi.org/10.58286/29757.
• Yukihiro, Kinoshita Kosuke, Kumura Takahiro：Physics-informed decomposition of LOS displacement for infrastructure monitoring，SPIE Remote Sensing 2024, An international conference for satellite-based imaging systems，Edinburgh，2024．
  https://doi.org/10.1117/12.3031328.

Domestic conference (Reviewed)

• Kinoshita Kosuke, Yano Yukihiro, Kumura Takahiro, Takashi Miyamoto, Pang-jo Chun：Comparative analysis of time-series InSAR bridge deformation analysis and structural simulation for a hinged PC bridge, 2024. (in Japanese).
• Kumura Takahiro, Kinoshita Kosuke, Yano Yukihiro：Satellite-based Bridge Anomaly Detection as a Case Study of 2024 Noto Peninsula Earthquake, 2024. (in Japanese).

International conference (non-Reviewed)

• Kahori Iiyama, Shuhei Takaya, Natsu Miura, Hideyuki O-tani, Hiroshi Tamura：Research on automatic construction of simulation models of road bridges for earthquake damage assessment at urban scale，The International Association for Bridge and Structural Engineering, IABSE.，Tokyo，2025．
• Kahori Iiyama, Hideyuki O-tani, Hiroshi Tamura, Natsu Miura, Shuhei Takaya：A prototype system for automatic generation of road bridge modeling using limited data and automated seismic response simulation，Computational Engineering and Science for Safety and Environmental problems，Kobe，2025．
• Aleena Saleem, Yoshifumi. Ito, Aqsa Jamil, Kahori Iiyama and Hiroshi Tamura：Development of an algorithm for the automated generation of bridge models for disaster-prevention digital urban twins，Computational Engineering and Science for Safety and Environmental problems，Kobe，2025．
• Naoto Tadokoro, Aqsa Jamil, Aleena Saleem, Hiroshi Tamura and Kahori Iiyama：Validation of girder bridge models for earthquake response in disaster-prevention urban digital twins，Computational Engineering and Science for Safety and Environmental problems，Kobe，2025．
• Yuya Takahashi：Data-Driven Preventive Maintenance Framework for Reinforced Concrete Bridge Slabs using Public Database Integration and Full-scale Simulation, Proceedings of the 1st International Conference on Recent Innovation of Civil Engineering & Architecture for Sustainable Development (IRCASD-2024), 7~9 November 2024, DUET, Gazipur, Bangladesh

Domestic conference (Non Reviewed)

• Taichi Ishikawa and Riki Honda：3D bridge model generation method based on interpretation of point cloud data using deep learning, Japan Society of Civil Engineers 2024 Annual Meeting, Tohoku University, 2024. (in Japanese).
• Shuuhei Abe, Pang-jo Chun：Point Cloud Semantic Segmentation by Machine Learning Using Information of Bridges, Japan Society of Civil Engineers 2024 Annual Meeting, pp. CS11-05, 2024. (in Japanese).
• Taichi Ishikawa and Riki Honda：Proposal of deep learning-based interpretation method of bridge point cloud data considering uncertainty, The 27th Applied Mechanics Symposium, Okayama University, 2024. (in Japanese).
• Riki Honda：Development of Digital Twin Environment for Smart Infrastructure Management(Proceedings of Symposium on Applied Mechanics), The 27th Applied Mechanics Symposium, Okayama University, 2024. (in Japanese).
• Taichi Ishikawa and Riki Honda：Proposal of deep learning-based interpretation method of bridge point cloud data considering uncertainty，The 27th Applied Mechanics Symposium，Okayama University，2024．(in Japanese)
• Taichi Ishikawa and Riki Honda：3D bridge model generation method based on interpretation of point cloud data using deep learning，Japan Society of Civil Engineers 2024 Annual Meeting，Tohoku University，2024．(in Japanese)
• Riki Honda：Development of Digital Twin Environment for Smart Infrastructure Management(Proceedings of Symposium on Applied Mechanics)，The 27th Applied Mechanics Symposium，Okayama University，2024．(in Japanese)
• Shuuhei Abe, Pang-jo Chun：Point Cloud Semantic Segmentation by Machine Learning Using Information of Bridges，Japan Society of Civil Engineers 2024 Annual Meeting，pp. CS11-05-，2024．(in Japanese)
• Kahori Iiyama, Hideyuki O-tani, Hiroshi Tamura, Shuhei Takaya, Natsu Miura：Prototype of a System for Automatic Generation of Simulation Models for Road Bridges Used for Earthquake Disaster Risk Assessment (Proceedings of Symposium on Applied Mechanics)，Japan Society of Civil Engineers 2025 Annual Meeting，Tokyo，2025．
• Natsu Miura, Kahori Iiyama, Hideyuki O-tani, Hiroshi Tamura, Shuhei Takaya：Trial Construction of an Automatic Model Generation System for Road Bridges Based on Estimation of Earthquake Damage on an Urban Scale (Part 1) Overview of the system and study on improving efficiency and quality of model generation，Japan Society of Civil Engineers 2025 Annual Meeting，Kumamoto，2025．
• Kahori Iiyama, Natsu Miura, Hideyuki O-tani, Hiroshi Tamura, Shuhei Takaya：Trial Construction of an Automatic Model Generation System for Road Bridges Based on Estimation of Earthquake Damage on an Urban Scale (Part 2) Automatic generation of numerical models for seismic response simulation，The 28th Applied Mechanics Symposium，Kumamoto，2025．
• Hiroyuki Takahashi, Ryo Kageyama, Nozomi Nagamine, Daizou Fujii：Dimension Measurement method for Railway Concrete Bridges Using 3D LiDAR，TER-24-079，2024．(in Japanese)
• Hiroyuki Takahashi, Ryo Kageyama, Meguru Onodera, Norikazu Nomura：Development of 3D Point Cloud Measurement Device for Railway Bridges Using LiDAR Sensors，Japan Society of Civil Engineers 2025 Annual Meeting，2025．(in Japanese)
• Jie Fang, Taiju Yoneda, Tetsuya Mishima and Yuya Takahashi：Automation and efficiency improvement of bridge FEM analysis by constructing parametric models, Japan Society of Civil Engineers 2025 Annual Meeting, (In Japanese)
• Hiroyuki Takahashi, Ryo Kageyama, Meguru Onodera, Norikazu Nomura：Development of 3D Point Cloud Measurement Device for Railway Bridges Using LiDAR Sensors，Japan Society of Civil Engineers 2025 Annual Meeting，2025．(in Japanese)
• Hiroyuki Takahashi, Ryo Kageyama, Nozomi Nagamine, Daizou Fujii：Dimension Measurement method for Railway Concrete Bridges Using 3D LiDAR，TER-24-079，2024．(in Japanese)

Others

• Shuuhei Abe, Pang-jo Chun, Wakana Asano：POINT CLOUD SEMANTIC SEGMENTATION CONSIDERING INFORMATION OF BRIDGES, Proceeding of the i-Construction Symposium, Vol. 6, pp. 113-116， 2024. (in Japanese).