Faculty of Engineering · Chulalongkorn University

Better insight.
Better infrastructure.

Civil engineering, geospatial science and AI. Explore the people and research behind infrastructure that serves society.

11Faculty & Fellows
4Core Disciplines
77+Curated Works
OpenCode & Datasets

Center of Excellence in Infrastructure Management

Aerial imagery from the center’s original survey archive
Aerial survey imagery · Center archive

Scientific Research & Methods

Research, in practice.

Explore the questions, methods and published work across physical infrastructure and AI.

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Road safety & transport

Understanding road risk, travel behaviour and network performance through safety assessment, traffic information and transport research.

Pavements & asset management

Connecting pavement condition, material performance and life-cycle costs to maintenance planning and infrastructure decisions.

Geospatial information & surveying

Developing knowledge and tools around geographic information systems, surveying and infrastructure information management.

Disaster information & resilience

Studying how information supports decisions during disasters, alongside knowledge exchange on preparedness and response.

Initiative · AI for Physical Sciences

AI Foundation Models for Civil Infrastructure

Integrating computer vision, foundation models, and statistical learning into large-scale civil engineering systems. Our initiatives focus on automated satellite segmentation, real-time roadside asset intelligence, probabilistic highway safety modeling, and low-distortion geodetic coordinate transformations — backed by open code and reproducible benchmarks.

Vision Transformers (ViT + YOLOX) GeoSAM / Earth Observation Bayesian Deep Learning Conformal Uncertainty Quantification TH-LDP Geodesy

Projects & impact

From ideas to the field.

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Peer-Reviewed Research

Published knowledge.

A source-linked selection spanning infrastructure and computing.

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Concept illustration: Medical image classification. Topic of Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images
Topic illustration

Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images

Surayuth Pintawong; Shanop Shuangshoti; Tikamporn Jitpasutham; Somruethai Shuangshoti; Kulachet Wiwatwarayos; Thananop Kobchaisawat; Thanarat H. Chalidabhongse

IEEE Access, 13, pp. 51645–51659

Research focus

Studies conformal prediction for quantifying uncertainty in HER2 status classification from breast-cancer immunohistochemistry images.

Thanarat Chalidabhongse

Illustration of crash features encoded as grayscale images, a VGG-based CNN, and severity classification.
Topic illustration

Crash severity prediction using a virtual geometry-group-based deep learning approach with images-based feature representation

Nanon Sonnatthanon; Kasem Choocharukul

Results in Engineering, 27, 106155

Research focus

A VGG-based convolutional model predicts crash severity from Thai highway records for 2011–2023. Categorical features become grayscale images, with class balancing and Bayesian optimisation; evaluation uses F1-score and AUC.

Kasem Choocharukul

Software & tools

Tools to explore.

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Teaching & resources

Knowledge to build on.

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Partners & collaboration

Working together.

Joint activities and knowledge exchange with industry and government, documented in the center’s archive.

Industry ·

Infra Plus Co., Ltd.

Co-organized an asset and infrastructure management seminar with the research unit for local-government personnel.

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Government ·

Department of Highways

Kasem Choocharukul delivered iRAP Star Rating training for department personnel on 9–10 July 2020.

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Government ·

Department of Rural Roads

Boonchai Sangpetngam contributed to a knowledge-transfer seminar on integrating rural-road network data using iAmR.

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Years refer to the activities described. These records do not confirm current partnership or sponsorship status.

Study & collaborate

Bring an engineering question.

Explore graduate study, find a researcher working in your field, and connect through the university’s official channels.

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Let’s build knowledge.
And better infrastructure.

Connect with the center about research collaboration, academic services and knowledge exchange.

Study & research enquiries

Center of Excellence in Infrastructure Management

Room 314, 3rd floor, Civil Engineering Building
Faculty of Engineering, Chulalongkorn University
Phaya Thai Road, Wang Mai, Pathum Wan
Bangkok 10330, Thailand