Faculty

Institution

Unit

Venue

Mani Golparvar Fard

Professor

UIUC

Affiliations

The Grainger College of Engineering

Civil & Environmental Engineering

Department of Civil and Environmental Engineering

Mani Golparvar Fard is currently serving as a Civil & Environmental Engineering Professor at Uiuc.

Honors

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Experiences

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Education

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Mani Golparvar Fard

UIUC

Professor

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architecture machine vision computer vision image analysis computer science systems engineering construction engineering civil engineering image representation construction technology building engineering computer graphics automation in construction geometric modeling visualization digital image processing computer-aided design built environment 3d computer vision information visualization point clouds point cloud processing pattern recognition intelligent building augmented reality scene modeling field robotics project management structure from motion building information modelling building technology automated inspection video understanding 3d reconstruction building energy multimedia retrieval multimedia information processing activity recognition building energy conservation 3d modeling multimedia modeling computational imaging object detection scene analysis unmanned aircraft systems human-computer interaction scene understanding multi-view geometry video surveillance 3d object recognition construction workers video content analysis building performance object recognition building science safety science visual analytics video processing 3d pose estimation interactive visualization construction progress monitoring construction sites progress monitoring oriented gradients bim elements image-based 3d visualization (graphics) augmented virtuality new 3d construction progress visualization techniques highway assets building elements automated method performance deviations visual data infrastructure management infrastructure engineering structural health monitoring intelligent computing construction management machine learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Hybrid Deep Learning Model for Predicting Failure Properties of Asphalt Binder From Fracture Surface Images. Computer-Aided Civil and Infrastructure Engineering (2025)

Babak AsadiViraj ShahAbhilash VyasMani Golparvar‐FardRamez Hajj

deep learningfeature learningtensile strengthengineeringmachine learningdata sciencemachine visionmachine learning researchasphalt binderconvolutional neural networksdeep learning modelneural network (machine learning)image representation

The True Environmental Cost of Data Centers: An Insight Into the Construction Phase of the Era of Artificial Intelligence. (2025)

Juan D Núñez-MoralesYoonhwa JungMani Golparvar-Fard

computer sciencebig datacomputational intelligencesmart citiestechnologydata center managementintelligent computinginfrastructure engineeringgreen data centerdata sciencedata infrastructuresinformation managementdata center systemstrue environmental costartificial intelligencetechnology infrastructuredata managementdata centers

Bi-Directional Image-To-Text Mapping for NLP-Based Schedule Generation and Computer Vision Progress Monitoring. Construction Research Congress 2022 (2024)

Juan D. Núñez-MoralesYoonhwa JungMani Golparvar-Fard

computer sciencenatural language generationnlp-based schedule generationnatural language processingdata sciencecomputer visionmachine visionmultimodal llmvision language modeltext-to-image retrievalbi-directional image-to-text mappingimage representation

Evaluation of Mapping Computer Vision Segmentation From Reality Capture to Schedule Activities for Construction Monitoring in the Absence of Detailed Bim. Proceedings of the ... ISARC (2024)

Juan D. Nunez-MoralesYoonhwa JungMani Golparvar-Fard

detailed bimarchitecturebuilding information modellingconstruction managementbuilding engineeringconstruction technologyschedule activitiescomputer visionimage analysismachine visionintelligent buildingcivil engineeringextended realityconstruction engineering

Feasibility Analysis on the Use of NLP-Based Schedule Analytics for 4D Project Planning and Controls. Computing in Civil Engineering (2024)

Yoonhwa JungJulia HockenmaierMani Golparvar-Fard

designdigital planningconstruction managementproject managementfeasibility analysislong range planningsystems engineeringnlp-based schedule analyticsengineering managementproject schedulingproject planning

New Metrics to Benchmark and Improve Bim Visibility Within a Synthetic Image Generation Process for Computer Vision Progress Tracking. Lecture notes in civil engineering (2024)

Juan D. Nunez-MoralesShun-Hsiang HsuAmir IbrahimMani Golparvar-Fard

computer graphicscomputer sciencestructure from motionnew metricsimprove bim visibilityobject trackingcomputer engineeringcomputer visionimage analysismachine visionvisual computingimage representation

Requirements for Generating Physics-Based Synthetic Data Using Image-Based 3D Point Clouds for Learning and Inference of Condition Defects From Reality Capture Data. Construction Institute & Construction Research Congress joint Conference (2024)

Mani Golparvar Fard

computational imagingengineeringscientific computingdata sciencepoint cloudsimage-based 3dgeometric modelingpoint cloud processingcondition defects3d modelingreality capture dataextended reality

Requirements for Parametric Design of Physics-Based Synthetic Data Generation for Learning and Inference of Defect Conditions. Construction Research Congress 2022 (2024)

Shun-Hsiang HsuMani Golparvar-Fard

computer-aided designcomputer sciencecomputational intelligenceautomated inspectionmachine learningdata sciencephysic aware machine learningcomputer visionmachine visiondata generationdefect detectionartificial intelligencemachine learning researchdesign automationgeometric modelingsynthetic data

Synthetic Image Generation for Training 2D Segmentation Models at Scale for Computer Vision Progress Monitoring in Construction. Computing in Civil Engineering (2024)

Juan D. Núñez-MoralesShun-Hsiang HsuMani Golparvar-Fard

segmentation modelsarchitecturesynthetic image generationautomation in constructionconstruction technologyimage segmentationcomputer visionimage analysismachine visioncivil engineeringscene modelingimage representationconstruction engineering

VISUALSITEDIARY: A Detector-Free Vision-Language Transformer Model for Captioning Photologs for Daily Construction Reporting and Image Retrievals. Automation in Construction (2024)

Yoonhwa JungIkhyun ChoShun-Hsiang HsuMani Golparvar-Fard

deep learningmultimedia information processingwork activity logsemantic evaluationmachine learningdaily construction reportingnatural language processingvisual groundingdata sciencecomputer visionimage analysismultimedia modelingvision language modelmultimodal llmdaily progressvisual question answeringmultimedia retrievalimage representation

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Mani Golparvar Fard

Professor

UIUC

Affiliations

The Grainger College of Engineering

Civil & Environmental Engineering

Department of Civil and Environmental Engineering

Mani Golparvar Fard is currently serving as a Civil & Environmental Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mani Golparvar Fard

UIUC

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Hybrid Deep Learning Model for Predicting Failure Properties of Asphalt Binder From Fracture Surface Images. Computer-Aided Civil and Infrastructure Engineering (2025)

Babak AsadiViraj ShahAbhilash VyasMani Golparvar‐FardRamez Hajj

The True Environmental Cost of Data Centers: An Insight Into the Construction Phase of the Era of Artificial Intelligence. (2025)

Juan D Núñez-MoralesYoonhwa JungMani Golparvar-Fard

Bi-Directional Image-To-Text Mapping for NLP-Based Schedule Generation and Computer Vision Progress Monitoring. Construction Research Congress 2022 (2024)

Juan D. Núñez-MoralesYoonhwa JungMani Golparvar-Fard

Evaluation of Mapping Computer Vision Segmentation From Reality Capture to Schedule Activities for Construction Monitoring in the Absence of Detailed Bim. Proceedings of the ... ISARC (2024)

Juan D. Nunez-MoralesYoonhwa JungMani Golparvar-Fard

Feasibility Analysis on the Use of NLP-Based Schedule Analytics for 4D Project Planning and Controls. Computing in Civil Engineering (2024)

Yoonhwa JungJulia HockenmaierMani Golparvar-Fard

New Metrics to Benchmark and Improve Bim Visibility Within a Synthetic Image Generation Process for Computer Vision Progress Tracking. Lecture notes in civil engineering (2024)

Juan D. Nunez-MoralesShun-Hsiang HsuAmir IbrahimMani Golparvar-Fard

Mani Golparvar Fard

computational imagingengineeringscientific computingdata sciencepoint cloudsimage-based 3dgeometric modelingpoint cloud processingcondition defects3d modelingreality capture dataextended reality

Requirements for Parametric Design of Physics-Based Synthetic Data Generation for Learning and Inference of Defect Conditions. Construction Research Congress 2022 (2024)

Shun-Hsiang HsuMani Golparvar-Fard

Synthetic Image Generation for Training 2D Segmentation Models at Scale for Computer Vision Progress Monitoring in Construction. Computing in Civil Engineering (2024)

Juan D. Núñez-MoralesShun-Hsiang HsuMani Golparvar-Fard

VISUALSITEDIARY: A Detector-Free Vision-Language Transformer Model for Captioning Photologs for Daily Construction Reporting and Image Retrievals. Automation in Construction (2024)

Yoonhwa JungIkhyun ChoShun-Hsiang HsuMani Golparvar-Fard

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