Advances in AI, Data Science and Digital Twin 2025

Innovation and social implementation of AI, data science and digital twins are advancing rapidly in wide range of fields including infrastructure, disaster, cities, environment, transportation, energy, etc.  Papers from research and development, education, to practices in the related areas are presented and discussed in this symposium.  

Organized by: Editorial Committee of Intelligence, Informatics and Infrastructure
Cooperated by: JSCE International Student Network Group and International Civil Engineers Group.  

Symposium Date: May 26 (Mon.), 2025
    Registration Deadline: May 19(Mon.), 2025
Location: JSCE Headquarter (Conference Room CD) and online
    Concurrently with JSCE Digital Twin & DX Symposium 2025.
Registration fee: free

Register from the following site.  
On-site: participation at JSCE Headquarter
Online: participation by web
Speakers: presentations can be made either from on-site or online
By registering this symposium, you can also attend JSCE Digital Twin & DX Symposium 2025.

The papers will be published in Intelligence, Informatics and Infrastructure, and associated data are uploaded to J-STAGE Data if available.   

Twelve minutes of presentation and three minutes of discussion are assigned for each paper.  

Contact: Office of Editorial Committee
E-mail：aisymposium@jsce.or.jp

Program

12:50  Opening  Makoto Kimura (Director of JSCE International Center, Bond Engineering) 

13:00-14:15  Digital Twin and Data Science
- Estimation of Population Exposure to Flood Risk by Using a Geospatial Information System Overlay of Mobile Spatial Statistic (MSS) Data, Flood Inundation Map, and Land Use Zone  Syandriaji, Diva; Kurauchi, Fumitaka; Nakamura, Toshiyuki; Takagi, Akiyoshi
- Research on Rockfall Trajectory with Different Speed Energy Ratios Based on Discontinuous Deformation Method  DINGCHENG, LU; Nishiyama, Satoshi
- The effects of methodological uncertainties on repair prioritization: An exploratory analysis of national road bridges in Lao PDR  Silimanotham, Hatthaphone; HENRY, Michael
- Anomaly Detection Using Multiple Data-based iForest for Realizing Digital Twin in Winter Road  Wang, Chang; Takahashi, Sho; Yagi, Masahiro; Yoshii, Toshio
- Patterns in stakeholder perspectives on the leanness assessment of urban road projects using AHP and HCPC  Mekonnen Chekol, Ludmila Soares Carneiro, Azam Amir, and Michael Henry

14:30-15:30  Deep Learning and Applications 
- Comparison of statistical and machine learning-based pavement deterioration models using PCI as a continuous variable  Amir, Azam; HENRY, Michael
- Proposal of a deep learning-based automatic segmentation method for raster diagrams of existing bridges  Shuhei Abe, Yu Chen, Sota Kawanowa, Pang-jo Chun
- Crack Width Behaviour in a Concrete Retaining Wall Using Deep Learning and Image Processing Technique  Boney, Afia; Akita, Shosuke; Nishiyama, Satoshi; Murakami, Osamu; Pan, Shijun; Yoshida, Keisuke
- Local Low-Altitudes Drone-based Riparian Waste Benchmark Dataset (LAD-RWB): A Case Study on the Asahi River Basin  Pan, Shijun; Shimoe, Daichi; Yoshida, Keisuke; KOJIMA, Takashi

15:30  Closing  Ji Dang (Secretary General of Editorial Committee, Saitama University)