Journal Papers
+ Citation Information can be found here.
++ All articles are hyper-linked to journal websites.
75. Jung, Y., Hockenmaier, J., & Golparvar-Fard, M. (2024).Transformer language model for mapping construction schedule activities to uniformat categories. Automation in Construction, 157, 105183.
74. Amer, F., Jung, Y., & Golparvar-Fard, M. (2023). Construction schedule augmentation with implicit dependency constraints and automated generation of lookahead plan revisions. Automation in Construction, 152, 104896.
73. Wang Y., Tang P., Liu K., Cai J., Ren R.; Lin, J., Cai H., Zhang J., El-Gohary N., Berges, M., Golparvar Fard, M. (2023). "Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies," ASCE Journal of Computing in Civil Engineering 37(2), p.04023001.
72. Amer, F., Hockenmaier, J., & Golparvar-Fard, M. (2022). "Learning and critiquing pairwise activity relationships for schedule quality control via deep learning-based natural language processing". Automation in Construction, 134, 104036.
71. Ibrahim, A., Golparvar-Fard, M. and El-Rayes, K. (2022). "Multi-objective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs". Journal of Computing in Civil Engineering, 36 (5), 04022018.
70. Ibrahim, A., Golparvar-Fard, M. and El-Rayes, K. (2022). "Metrics and Methods for Evaluating Model-driven Reality Capture Plans for Progress Monitoring and Asset Inspection." Wiley Computer-Aided Civil and Infrastructure Engineering. Comput. Aided Civ Inf. 2021; 1– 18. https://doi.org/10.1111/mice.12693
69. Amer, F., Jung. Y., and Golparvar-Fard, M. (2021). "Transformer Machine Learning Language Model for Auto-alignment of Long-Term and Short-Term Plans in Construction.", Elsevier Journal of Automation in Construction, 132 (103929).
68. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes, K. (2021). "Automatic 3D Solid Modeling of Indoor Building Scenes from Point Clouds Using Semantic Segmentation and NURBS Fitting." ASCE Journal of Computing in Civil Engineering (accepted)
67. Tang, S., and Mani Golparvar-Fard, M. (2021). "Machine Learning-Based Risk Analysis for Construction Worker Safety from Ubiquitous Site Photos and Videos." ASCE Journal of Computing in Civil Engineering (accepted)
66. Perez-Perez, Y., Golpavar-Fard, M., and El-Rayes, K. (2021). “Scan2BIM-NET: A Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM." ASCE Journal of Construction Engineering and Management, 147(9): 04021107. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0002132 (Editor's Choice Recognition)
65. Ibrahim, A., Golparvar-Fard, M. and El-Rayes, K. (2021). "Metrics and Methods for Evaluating Model-driven Reality Capture Plans for Progress Monitoring and Asset Inspection." Wiley Computer-Aided Civil and Infrastructure Engineering. Comput. Aided Civ Inf. 2021; 1– 18. https://doi.org/10.1111/mice.12693
64. Amer, F., Koh, H. and Golparvar-Fard, M. (2021) "Automated Methods and Systems for Construction Planning and Scheduling: A Critical Review on Three Decades of Research." ASCE Journal of Construction Engineering and Management, 147(7): 03121002. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CO.1943-7862.0002093
63. Lin, J. and Golparvar-Fard, M. (2021). "A Visual and Virtual Production Management System for Proactive Project Controls." ASCE Journal of Construction Engineering and Management, 147(7): 04021058. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002045
62. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes, K. (2021). "Segmentation of Point Clouds via Joint Semantic and Geometric Features for 3D Modeling of the Built Environment." Elsevier Journal of Automation in Construction, 125, 103584.
61. Hoskere V., Amer F., Friedel D., Yang W., Tang Y., Narazaki Y., Smith M.D., Golparvar-Fard M., and Spencer B. (2021) "InstaDam: Open-source Platform for Rapid Semantic Segmentation of Structural Damage." MDPI Journal of Applied Sciences, 11(2), 520.
60. Torres Calderon, W., Roberts, D. and Golparvar-Fard, M. (2021). "Synthesizing Pose Sequences from 3D Assets for Vision-Based Activity Analysis." ASCE Journal of Computing in Civil Engineering. 35(1): 04020052. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000937
59. Amer, F., and Golparvar-Fard, M. (2021) "Modeling Dynamic Construction Work Templates from Existing Schedule Records via Sequential Machine Learning." Elsevier Advanced Engineering Informatics. 47. 10.1016/j.aei.2020.101198.
58. Tang, S., Golparvar-Fard, M., Naphade, M. and Gopalakrishna, M.M., (2020). "Video-Based Motion Trajectory Forecasting Method for Proactive Construction Safety Monitoring Systems". Journal of Computing in Civil Engineering, 34(6), p.04020041.
57. Lin , J., Ibrahim, A. Sarwade, S. and Golparvar-Fard, M. (2021) “Bridge Inspection with Aerial Robots: Automating the Entire Pipeline of Visual Data Capture, 3D Mapping, Defect Detection, Analysis and Reporting” ASCE Journal of Computing in Civil Engineering (invited paper). 35 (2) https://ascelibrary.org/doi/full/10.1061/%28ASCE%29CP.1943-5487.
56. Roberts, D., Torres Calderon, W., Tang , S., and Golparvar-Fard M. (2020). "Vision-Based Construction Worker Activity Analysis Informed by Body Posture." Journal of Computing in Civil Engineering. 2020 Jul 1.; 34(4):04020017.
55. Sherafat, B., Ahn C., Akhavian R., Behzadan A., Golparvar-Fard, M., Kim H., Lee, H., Rashidi A., and Rezazadeh A.E. (2020) "Automated Methods for Activity Recognition of Construction Workers and Equipment: A State-of-the-Art Review." ASCE Journal of Construction Engineering and Management. 146(6), 03120002, DOI: 10.1061/(ASCE)CO.1943-7862.0001843
54. Tang S., Roberts D., and Golparvar-Fard, M. (2020). "Human-Object Interaction Recognition for Automatic Construction Site Safety Inspection." Elsevier Journal of Automation in Construction. Volume 120, 103356, ISSN 0926-5805. https://doi.org/10.1016/j.autcon.2020.103356
53. Garcia, G., Golparvar-Fard, M. de la Garza, J., and Fischer, M. (2020). "Measuring Progress and Productivity in Model-Driven Engineering for Capital Project Delivery", ASCE Journal of Construction Engineering and Management. 147(4): 04021009. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001969
52. Bartel, L., Liu, L., El-Rayes, K., El-Gohary, N., Golparvar-Fard, M., and Grussing, M. (2019). "Work Optimization with Association Rule Mining of Accelerated Deterioration in Building Components", ASCE Journal of Performance of Constructed Facilities. 34(3): 04020033. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001441
51. Roberts D., Tang S., Torres Calderon W., and Golparvar-Fard, M. (2019) "Vision-Based Construction Worker Activity Analysis Informed by Body Posture." ASCE Journal of Computing in Civil Engineering. 34(4): 04020017
50. Feng, Y. and Golparvar-Fard, M. (2018). "Image-Based Localization for Facilitating Construction Field Reporting on Mobile Devices." Springer Journal of Advances in Informatics and Computing in Civil and Construction Engineering. 585-592
49. Bhandari S., Hallowell M., Boven L., Welker K., Golparvar-Fard M., and Gruber J.
Using Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions
ASCE Construction Engineering and Management, 2020, 10.1061/(ASCE)CO.1943-7862.0001755
48. Roberts D. and Golparvar-Fard M.
End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level
Automation in Construction, 105, 102811, DOI: 10.1016/j.autcon.2019.04.006
47. Han K., Degol J., and Golparvar-Fard M.
Geometry-and appearance-based reasoning of construction progress monitoring
ASCE Construction Engineering and Management, 2017, 10.1061/(ASCE)CO.1943-7862.0001428
46. Han, K. and Golparvar-Fard, M.
Crowdsourcing BIM-guided collection of construction material library from site photologs
Springer Journal of Visualization in Engineering, 2017, 5(1).
45. Han, K. and Golparvar-Fard, M.
Potential of big visual data and building information modeling for construction performance analytics: An exploratory study
Automation in Construction, 73, 184-198, DOI: 10.1016/j.autcon.2016.11.004
44. Dimitrov, A., Gu, R., and Golparvar-Fard, M.
Non-Uniform B-Spline Surface Fitting from Unordered 3D Point Clouds for As-Built Modeling
Computer-Aided Civil and Infrastructure Engineering, 2016, doi: 10.1111/mice.12192.
43. Yoon, H., Elanwar, H., Choi, H. Golparvar-Fard, M. and Spencer, B.
Target-free Approach for Vision-based Structural System Identification using Consumer-grade Cameras
Structural Control and Health Monitoring, 2016 (in-press).
42. Ham, Y., Han, K., Lin, J., and Golparvar-Fard, M.
Visual Monitoring of Civil Infrastructure Systems via Camera-Equipped Unmanned Aerial Vehicles (UAVs): A Review of Related Works
Springer Journal of Visualization in Engineering, 2016, 4(1).
41. Han, K., Cline, D. and Golparvar-Fard, M.
Formalized Knowledge of Construction Sequencing for Visual Monitoring of Work-In-Progress via Incomplete Point Clouds and Low-LoD 4D BIMs
Advanced Engineering Informatics, 2015, 29 (4), 889–901.
40. Bae, J, White, J., Golparvar-Fard, M., Pen, Y., and Sun, Y.
Fast and Scalable 3D Cyber-physical Modeling for High-precision Mobile Augmented Reality Systems
Personal and Ubiquitous computing Journal, 2015, 19, 1275-1294.
39. Liu, K. and Golparvar-Fard, M.
Crowdsourcing Construction Activity Analytics from Jobsite Video Streams
ASCE Construction Engineering and Management, 2015, 10.1061/(ASCE)CO.1943-7862.0001010 , 04015035.
38. Han, K. and Golparvar-Fard, M.
Appearance-based Material Classification for Monitoring of Operation-Level Construction Progress Using 4D BIM and Site Photologs
Automation in Construction, 53, 44-57, DOI: 10.1016/j.autcon.2015.02.007, 2015.
37. Yoon, H., Ham, Y., Golparvar-Fard, M., and Spencer, B.
Forward-Backward Approach for 3D Event Localization using Commodity Smartphones for Ubiquitous Context-Aware Applications in Civil and Infrastructure Engineering
Journal of Computer-Aided Civil and Infrastructure Engineering, 2015. doi: 10.1111/mice.12154.
36. Yang, J., Park, M.W., Vela, P.A., and Golparvar-Fard, M.
Construction Performance Monitoring via Still Images, Time-Lapse Photos, and Video Streams: Now, Tomorrow, and the Future
Advanced Engineering Informatics, 2015, doi: 10.1016/j.aei.2015.01.011.
35. Balali, V., Ashuri Rad, A. and Golparvar-Fard, M.
Detection, Classification, and Mapping of U.S. Traffic Signs Using Google Street View Images for Roadway Inventory Management
Springer Journal of Visualization in Engineering, 2015.
34. Balali, V., Sadeghi M.A. and Golparvar-Fard, M.
Image-based retro-reflectivity measurement of traffic signs in day time
Advanced Engineering Informatics, 2015, doi:10.1016/j.aei.2015.08.003.
33. Cho, Y., Ham, Y., and Golparvar-Fard, M.
3D As-is Building Energy Modeling and Diagnostics: A Review of the State-of-the-Art
Advanced Engineering Informatics, 2015, 29 (2), 184-195, http://dx.doi.org/10.1016/j.aei.2015.03.004.
32. V. Balali., and Golparvar-Fard, M.
Evaluation of Multi-Class Traffic Sign Detection and Classification Methods for U.S. Roadway Asset Inventory Management
Journal of Computing in Civil Engineering, ASCE, 10.1061/(ASCE)CP.1943-5487.0000491 , 04015022.
31. Dimitrov, A. and Golparvar-Fard, M.
Segmentation of Building Point Cloud Models including Detailed Architectural/Structural Features and MEP Systems
Automation in Construction, 51, 32-45, DOI: 10.1016/j.autcon.2014.12.015, 2015.
30. Balali, V. and Golparvar-Fard, M.
Segmentation and recognition of roadway assets from car-mounted camera video streams using a scalable non-parametric image parsing method
Automation in Construction, 49, A, 27-39, DOI: 10.1016/j.autcon.2014.09.007, 2015. [Video]
29. Karsch, K., Golparvar-Fard, M., and Forsyth, D.
ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models
ACM Transactions on Graphics, 33(6), DOI: 10.1145/2661229.2661256, 2014.
[Video Demo][Supplementary Video]
28. Ham, Y., and Golparvar-Fard, M.
3D Visualization of thermal resistance and condensation problems using infrared thermography for building energy diagnostics
Visualization in Engineering, 2:12, DOI: 10.1186/s40327-014-0012-0, 2014.
27. Khosrowpour, A., Niebles, J.C., and Golparvar-Fard, M.
Vision-based workface assessment using depth images for activity analysis of interior construction operations
Automation in Construction, 48, 74-87, DOI: 10.1016/j.autcon.2014.08.003, 2014.
26. Ham, Y., and Golparvar-Fard, M.
Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling
Automation in Construction, DOI: 10.1016/j.autcon.2014.07.009, 2014.
25. Dimitrov, A., and Golparvar-Fard, M.
Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections
Advanced Engineering Informatics, 28(1), 37–49, 2014.
24. Ham, Y., and Golparvar-Fard, M.
Three-Dimensional Thermography-Based Method for Cost-Benefit Analysis of Energy Efficiency Building Envelope Retrofits
Computing in Civil Engineering, DOI: 10.1061/(ASCE)CP.1943-5487.0000406 , B4014009, 2014.
23. Bae, H., Golparvar-Fard, M., and White, J.
Image-based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-time Field Reporting Applications
Computing in Civil Engineering, DOI: 10.1061/(ASCE)CP.1943-5487.0000392, B4014008, 2014.
22. Albert, A., Hallowell, M.R., Kleiner, B., Chen, A., Golparvar-Fard, M.
Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality
Construction Engineering and Management, 140(7), 04014024, 2014.
21. Golparvar-Fard, M., and Ham, Y.
Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings using EPAR - Energy Performance Augmented Reality - Models
Computing in Civil Engineering, ASCE, Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment. 28(1), 17-29, 2014.
20. Golparvar-Fard, M., Heydarian, A., and Niebles, J.C.
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers
Advanced Engineering Informatics, 27 (4), 652-663, 2013.
19. Milad Memarzadeh, Golparvar-Fard, M., and Niebles, J.C.
Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors
Automation in Construction (32), 24-37, 2013.
18. Guyman, D., Dougherty, B., White, J., and Golparvar-Fard, M.
Power-efficient Cyber-physical Late Arrival Detection with Smartphones
Mobile Networks and Applications, 2013.
17. Ham. Y., and Golparvar-Fard, M.
EPAR: Energy Performance Augmented Reality models for identification of building energy performance deviations between actual measurements and simulation results
Energy and Buildings (63), 15-28, ISSN 0378-7788, 2013 (impact factor: 2.809)
16. Bae, H.J., Golparvar-Fard, M., and White, J.
High-precision Vision-based Mobile Augmented Reality System for Context-aware AEC/FM Applications
Visualization in Engineering, DOI:1:3,10.1186/2213-7459-1-3, 2013.
15. Golparvar-Fard, M., Balali, V., and de la Garza, J.M.
Segmentation and Recognition of Highway Assets using Image-based 3D Point Clouds and Semantic Texton Forests
Computing in Civil Engineering, 10.1061/(ASCE)CP.1943-5487.0000283 , 04014023, 2013.
14. Gulbinas, R., Jain, R.K., Taylor, J.T., Peschiera, G., Siegel, J., and Golparvar-Fard, M.
Network Eco-Informatics: Development of a Social Eco-Feedback System to Drive Energy Efficiency in Residential Buildings
Computing in Civil Engineering, Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, 28(1), 89–98.
13. Ham, Y. and Golparvar-Fard, M.
An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery
Advanced Engineering Informatics, 27 (3), 395-409, 2013.
12. Ahn, C., Lewis, P., Golparvar-Fard, M., and Lee, S.
Integrated Framework for Estimating, Benchmarking and Monitoring the Environmental Impacts of Construction Operations
Construction Engineering and Management, 139(12), A4013003, 2013.
11. Torok, M., Golparvar-Fard, M., and Kochersberger, K.
Image-Based Automated 3D Crack Detection for Post-Disaster Building Assessment
Computing in Civil Engineering, DOI: 10.1061/(ASCE)CP.1943-5487.0000334, 2013.
10. MCcoy, A., Golparvar-Fard, M., and Rigby, E.
Reducing barriers to remote projects: a case study of low-tech image-based 3D reconstruction techniques
Architectural Engineering, DOI: 10.1061/(ASCE)AE.1943-5568.0000118 , 05013002, 2012.
9. Golparvar‐Fard, M., Peña‐Mora, F., and Savarese, S.
Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC‐Based Building Information Models
Computing in Civil Engineering, DOI: 10.1061/(ASCE)CP.1943-5487.0000205, 2012.
8. Peña-Mora, F., Thomas, J., Golparvar-Fard, M. and Aziz, Z.
Supporting civil engineers during disaster response and recovery using a Segway mobile workstation chariot
Computing in Civil Engineering, 26(3), 448-455, 2012.
7. Fukuchi, Y. and Golparvar-Fard, M.
Automated visualization technology with D4AR models
Japan Construction Information Technology (CIC) Information 103 Journal, 26(3), 50-55, 2011.
6. Golparvar-Fard, M., Peña-Mora, F., and Savarese, S.
Integrated sequential as-built and as-planned representation with D4AR – 4 dimensional augmented reality - tools in support of decision-enabling tasks in the AEC/FM industry
Construction Engineering and Management. 137(12), 1-21, 2011.
*Best Journal Paper Award; ASCE James R. Croes Medal
5. Golparvar-Fard, M., Bohn, J., Teizer, J., Savarese, S. and Peña-Mora, F.
Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques
Automation in Construction. 20(8), 1143-1155, 2011.
4. Kamat, V., Golparvar-Fard M., Martinez J., Peña-Mora F., Fischer, M. and Savarese S.
Research in Visualization Techniques for Field Construction
Construction Engineering and Management. 137(10), 853-863, 2011.
3. Golparvar-Fard, M., Peña-Mora, F., and Savarese, S.
D4AR- A 4-Dimensional augmented reality model for automating construction progress data collection, processing and communication
Information Technology in Construction (ITcon), Special Issue Next Generation Construction IT: Technology Foresight, Future Studies, Roadmapping, and Scenario Planning, 14, 129-153, 2009.
2. Golparvar-Fard, M., Peña-Mora, F. Arboleda, C. A., and Lee, S. H.
Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs
Computing in Civil Engineering, 23 (6), 391-404, 2009.
1. Golparvar-Fard, M., Yeganeh-Bakhtiary, A. and Cheng, L.
Numerical simulation of steady current below offshore pipeline near plane boundary
International Journal of Civil Engineering, 3 (1), 46-57, 2005.
PEER-REVIEWED Conference Papers
+ Citation Information can be found here.
++ All conference papers are hyperlinked to their proceedings.
123. Jung, Y., Hockenmaier, J., & Golparvar-Fard, M. (2023). "Feasibility Analysis on the Use of NLP-based Schedule Analytics for 4D Project Planning and Controls", ASCE International Conference on Computing in Civil Engineering, i3CE, June 25-28, 2023, Corvallis, Oregon.
122. Núñez-Morales, J., Hsu, H., & Golparvar-Fard, M. (2023). "Synthetic Image Generation for Training 2D Segmentation Models at Scale for Computer Vision Progress Monitoring in Construction", ASCE International Conference on Computing in Civil Engineering, i3CE, June 25-28, 2023, Corvallis, Oregon.
121. Núñez-Morales, J., Hsu, S., Ibrahim, A., and Golparvar-Fard, M. (2023) “Object Segmentation for Construction Scene using Synthetic Images with Realism Enhancement and Visibility Metrics“, 12th International Structural Engineering and Construction Conference (ISEC-12), Chicago, IL
120. Jung, Y., and Golparvar-Fard, M. (2023) “Exploring the Use of NLP to Auto-align Master Schedules with Superintendent’s Look-Ahead in Construction Projects”, 12th International Structural Engineering and Construction Conference (ISEC-12), Chicago, IL
119. Jung, Y., Amer, F., & Golparvar-Fard, M. (2022). Feasibility of an Integrated Heuristic and Machine Learning Approach for Schedule Health Monitoring in Construction. In Construction Research Congress 2022 (pp. 351-360).
118. Jung, Y., Amer, F., & Golparvar-Fard, M. (2021, October). A systematic review on the requirements on BIM maturity and formal representation of sequencing knowledge for automated construction scheduling. In Proceedings of the 38th International Conference of CIB, Luxembourg (pp. 11-15).
117. Roberts, D., Chu, H., Danielyan, A., Golparvar-Fard, M. and Forsyth D. (2021). "LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies." Proc., International Conference on Computer vision (ICCV). * Acceptance Rate: 9%
116. Lin, J., Ibrahim A., Srwade, A., Nitta, Y., Moirkawa, H and Fukuchi, Y. (2020) "Bridge Inspection with Aerial Robots and Computer Vision: A Japanese National Initiative." 37thInternational Symposium on Automation and Robotics in Construction (ISARC 2020)
115. Tang S., Chen O., Yu L., and Golparvar-Fard, M. (2020). "Improving Real-Time Construction Equipment Detection by Learning to Correct False Positives." ASCE Construction Research Congress. Tempe Arizona, 2020
114. Perez-Perez, Y., Golpavar-Fard, M., and El-Rayes, K. (2020). "Convolutional Neural Network Architecture for Semantic Labeling Structural and Mechanical Elements." ASCE Construction Research Congress. Tempe Arizona, 2020
113. Amer, F., Yi Koh, H., & Golparvar-Fard, M. (2020). "Quick, Correct, and Consistent Text Annotations: An Active Learning-Based Annotation Workflow and Tool for Sequence Labeling of Construction Schedules." ASCE Construction Research Congress. Tempe Arizona, 2020
112. Tang, S., Golparvar-Fard, M.., Naphade, M. and Gopalakrishna, M.M. (2019), "Video-Based Activity Forecasting for Construction Safety Monitoring Use Cases". ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019, 204-210
111. Amer, F., & Golparvar-Fard, M. (2019). "Formalizing Construction Sequencing Knowledge and Mining Company-Specific Best Practices from Past Project Schedules." Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019, 215–223.
110. Ibrahim, A. and Golparvar-Fard, M. (2019) "4D-BIM based Optimal Flight Planning for Construction Monitoring Applications using Camera-equipped UAVs." The 2019 ASCE International Conference on Computing in Civil Engineering. Atlanta, Georgia, June 17 - 19, 2019.
109. Ibrahim, A., Sabet, A., Golparvar-Fard, M. (2019) "BIM-Driven Mission Planning and Navigation for Automatic Indoor Construction Progress Detection using Robotic Ground Platform." 2019 European Conference on Computing in Construction. Chania, Crete, Greece. July 10-12, 2019.
108. Lin, J.J. Lee, J. and Golparvar-Fard, M. (2019). "Exploring the Potential of Image-based 3D Geometry and Appearance Reasoning for Automated Construction Progress Monitoring." The 2019 ASCE International Conference on Computing in Civil Engineering, Atlanta, U.S., June 17-19, 2019.
107. Amer, F., and Golparvar-Fard, M. (2019) "Construction Knowledge Formalization and Automated Construction Scheduling: a Literature Review." Canadian Society of Civil Engineers (CSCE) Annual Conference, 2019
106. Amer, F., & Golparvar-Fard, M. (2019a). "Automatic Understanding of Construction Schedules: Part-of-Activity Tagging." Proceedings of the 2019 European Conference for Computing in Construction, 1, 190–197. https://doi.org/10.35490/ec3.2019.196
105. Amer, F., and Golparvar-Fard, M. (2019). "Formalizing Construction Sequencing Knowledge and Mining Company-Specific Best Practices from Past Project Schedules." ASCE 2019 International Conference on Computing in Civil Engineering
104. Torres-Calderon, W., Chi, Y., Amer, F., and Golparvar-Fard, M. (2019). "Automated Mining of Construction Schedules for Easy and Quick Assembly of 4D BIM Simulations." ASCE 2019 International Conference on Computing in Civil Engineering
103. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes K. (2019). “Artificial Neural Network for Semantic Segmentation of Built Environments for Automated Scan2BIM.” I3CE 2019, Atlanta, Georgia.
102. Roberts D., Wang Y., Sabet A. and Golparvar-Fard M. (2019). "Annotating 2D Imagery with 3D Kinematically Configurable Assets of Construction Equipment for Training Pose-Informed Activity Analysis and Safety Monitoring Algorithms." Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering (I3CE)
101. Roberts D., Wang M., Torres Calderon W. and Golparvar-Fard M. (2019). "An Annotation Tool for Benchmarking Methods for Automated Construction Resource Pose Estimation and Activity Analysis." Proceedings of the 2019 International Conference of Smart Infrastructure and Construction (ICSIC)
100. Eray, E; Haas, C T; Rayside, D; Golparvar-Fard, M. (2018). "A Conceptual Framework for Tracking Design Completeness of Track Line Discipline in MRT Projects." Proceedings of the International Symposium on Automation and Robotics in Construction (ISARC); Waterloo Vol. 35, : 1-7. Waterloo: IAARC Publications. (2018)
99. Bhandari S.,Hallowell M.R., van Boven L., Golparvar-Fard, M. (2018). "Using Augmented Virtuality to Understand the Situational Awareness Model." Construction Research Congress 2018, 105-115
98. G Garcia, M Golparvar-Fard, JM De La Garza, Fischer, M. (2018). "Model Maturity Risk Index Framework for Tracking Progress in Model-Based Engineering." Construction Research Congress 2018, 2011-2021.
97. Feng, Y. and Golparvard-Fard, M. (2018) "Indoor/Outdoor Localization and augmented Reality for Improving Construction Onsite Information Delivery and Management." 35th CIB W78 2018 Conference, Chicago, USA
96. Amer, F., and Golparvar-Fard, M. (2018). “Decentralized Visual 3D Mapping of Scattered Work Locations for High-Frequency Tracking of Indoor Construction Activities.” Proceedings of Construction Research Congress 2018, April 2-4, New Orleans, Louisiana
95. Amer, F., and Golparvar-Fard, M. (2018). “Crowd-Sourced Visual Data Collection for Monitoring Indoor Construction in 3D.” The Second European and Mediterranean Structural Engineering and Construction Conference (EURO-MED-SEC-2).
94. Lin J.J., and Golparvar-Fard M. (2018). "Visual Data and Predictive Analytics for Proactive Project Controls on Construction Sites." EG-ICE 2018: 25th International Workshop on Intelligent Computing in Engineering, Lausanne, Switzerland, June 10-13, 2018.
93. Amer, F. and Golparvard-Fard, M.(2018). "Decentralized Visual 3D Mapping of Scattered Work Locations for High-Frequency Tracking of Indoor Construction Activities." ASCE Construction Research Congress (CRC).
92. Roberts, D., Golparvar-Fard, M., Carlos Niebles, J., Gwak, JY. and Bao, R. (2018). "Vision-based Construction Activity Analysis in Long Video Sequences via Hidden Markov Models: Experiments on Earthmoving Operations." Construction Research Congress (CRC).
91. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes K. (2018). “Automatic 3D Modeling of Structural and Mechanical Components from Point Clouds.” CRC 2018, New Orleans, Louisiana, 502-511.
90. Balali, V., Sadeghi, M.A. and Golparvar-Fard, M. (2017). "Remote Traffic Sign Retro-reflectivity Assessment in a Daytime Using High Dynamic Range Images." Transportation Research Board 96th Annual MeetingTransportation Research Board, 17-00477.
89. Lin, J. J., and Golparvar-Fard, M. (2017). "Proactive Project Controls Driven By Ambient As-Built and Plan Visual Data." International Conference on Civil and Building Engineering Informatics (ICCBEI 2017), April 19-21, Taipei, Taiwan.
88. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes, K. (2017). "Generation 3D Solid Models via Semantically Segmented Point Clouds." International Conference on Civil and Building Engineering Informatics (ICCBEI 2017), April 19-21, Taipei, Taiwan.
87. Lin, J. J., and Golparvar-Fard, M. (2017). "Visual Data Analytics for Proactive Project Controls." ASCE International Workshop on Computing in Civil Engineering, June 25 – 27, Seattle, WA.
86. Roberts, D., Bretl, M., and Golparvar-Fard, M. (2017). "Detecting and Classifying Cranes using Camera-equipped UAVs for Monitoring Crane-related Safety Hazards." ASCE International Workshop on Computing in Civil Engineering, June 25 – 27, Seattle, WA.
85. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes, K. (2017). "Semantic-rich 3D CAD Models for Built Environments from Point Clouds: An End-to-End Procedure." ASCE International Workshop on Computing in Civil Engineering, June 25 – 27, Seattle, WA.
84. Ibrahim, A., El-Rayes, K., Bretl, T. and Golparvar-Fard, M. (2017). "Model-Driven Visual Data Capture on Construction Sites: Method and Metrics of Success." ASCE International Workshop on Computing in Civil Engineering, June 25 – 27, Seattle, WA.
83. Ibrahim, A., Roberts, D., Bretl, T., and Golparvar-Fard, M. (2017). "Interactive Model-Driven Path Planning and Data Capture System for Camera-equipped Aerial Robots on Construction Sites." ASCE International Workshop on Computing in Civil Engineering, June 25 – 27, Seattle, WA.
82. Tang, S. and Golparvar-Fard, M. (2017). "Joint Reasoning of Visual and Text Data for Construction Safety Inspection." ASCE International Workshop on Computing in Civil Engineering, June 25 – 27, Seattle, WA.
81. Lin J. and Golparvar-Fard, M. (2017). "Proactive Project Controls Driven by Ambient As-Built and Plan Visual Data." 3rd International Conference on Civil and Building Engineering Informatics in conjunction with 2017 Conference on Computer Applications in Civil and Hydraulic Engineering, Taipei, Taiwan.
80. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes, K. (2017). "3D Solid Geometric Modeling of the Built Environment via Semantically Segmented Point Clouds." 3rd International Conference on Civil and Building Engineering Informatics in conjunction with 2017 Conference on Computer Applications in Civil and Hydraulic Engineering, Taipei, Taiwan, 284-287.
79. DeGol, J., Golparvar-Fard, M., and Hoiem, D. (2016). "Geometry-Informed Material Recognition". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1554-1562. Spotlight Paper (acceptance rate: 9.7%).
78. Lin, J. and Golparvar-Fard, M. (2016). "Web-based 4D Visual Production Models for Decentralized Work Tracking and Information Communication on Construction Sites." Proc., Construction Research Congress, May31-June 2, San Juan, PR., 1731 - 1741.
77. Han, K., Muthukumar, B., and Golparvar-Fard, M. (2016). "Enhanced Appearance-based Material Classification for Monitoring of Operation-level Construction Progress through Removal of Occlusions", Proc., Construction Research Congress, May31-June 2, San Juan, PR., 879 - 889.
76. Perez-Perez, Y., Golparvar-Fard, M., and El-Rayes, K. (2016). "Semantic and Geometric Labeling for Enhanced 3D Point Cloud Segmentation." Proc., Construction Research Congress, May31-June 2, San Juan, PR., 2542 - 2552.
75. Bao, R., Sadeghi, M.A., and Golparvar-Fard, M. (2016). "Characterizing Construction Equipment Activities in Long Video Sequences of Earthmoving Operations via Kinematic Features." Proc., Construction Research Congress, May31-June 2, San Juan, PR., 849-858.
74. Chhatwani, M. and Golparvar-Fard, M. (2016). "Model-Driven Management of Construction Carbon Footprint: Case Study." Proc., Construction Research Congress, May31-June 2, San Juan, PR., 1202 - 1212.
73. Han, K. and Golparvar-Fard, M. (2015)
The Role of Integrated Plan and As-Built Models in Achieving Smooth Flow of Production in Construction
International Conference on Innovative Production and Construction (IPC 2015), 28-31 July Perth, Australia. Keynote Speech - Sponsored by Construct2015 Conference
72. Han, K., Lin, J.J., and Golparvar-Fard, M.
A Formalism for Utilization of Autonomous Vision-Based Systems and Integrated Project Models for Construction Progress Monitoring
2015 Conference on Autonomous and Robotic Construction of Infrastructure, Ames, IA, 119-133, June 2015.
71. Liu, K. and Golparvar-Fard, M.
Crowdsourcing Video-based Workface Assessment for Construction Activity Analysis
International Conference on Sustainable Design, Engineering and Construction, Chicago, IL, May 10-13, 2015.
70. Abdallah, M., Clevenger, C., Golparvar-Fard, M.
Developing a Thermal Comfort Report Card for Buildings
International Conference on Sustainable Design, Engineering and Construction, Chicago, IL, May 10-13, 2015.
69. Lin, JJ., Han. K. and Golparvar-Fard, M.
A Framework for Model-driven Acquisition and Analytics of Visual Data using UAVs for Automated Construction Progress Monitoring
2015 International Workshop on Computing in Civil Engineering, ASCE, Austin, TX, 2015, 156-164, doi: 10.1061/9780784479247.020. DSA Best Paper Award
68. Han. K., and Golparvar-Fard, M.
BIM-assisted Structure from Motion for Analyzing and Visualizing Construction Progress Deviations through Daily Site Images and BIM
2015 International Workshop on Computing in Civil Engineering, ASCE, Austin, TX, 2015, 596-603, doi: 10.1061/9780784479247.074
67. Balali, V. and Golparvar-Fard, M.
Recognition, 3D Reconstruction, and Localization of Traffic Signs in 3D Point Cloud Model
2015 International Workshop on Computing in Civil Engineering, ASCE, Austin, TX, 2015, 206-214, doi: 10.1061/9780784479247.026
66. Lin, J.J., Han, K.K., Fukuchi, Y., Eda, M., and Golparvar-Fard, M.
Model-based Monitoring of Work-In-Progress via Images taken by Camera-Equipped UAVs and Building Information Models
International Conference on Construction and Building Engineering Informatics, Tokyo, Japan, April 22 - 24, 2015. (Keynote– Sponsored by Autodesk)
65. Sun, Y., Bae, H., Manna, S., White, J. and Golparvar-Fard, M.
Bridging Semantics with Physical Objects using Augmented Reality
2015 IEEE International Conference on Semantic Computing (ICSC 2015), Anaheim, California, 344,349, 7-9 Feb, doi: 10.1109/ICOSC.2015.7050832
64. Balali, V. , Depwe, E., and Golparvar-Fard, M.
Multi-Class Traffic Sign Detection and Classification Using Google Street View Images.
Transportation Research Board 94th Annual Meeting (TRB), 2015, Washington, D.C.
63. Karsch, K., Golparvar-Fard, M., and Forsyth, D.
ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models
ACM Transactions on Graphics (to be presented at SIGGRAPH Asia), 2014.
* Acceptance Rate: 18% [Video Demo][Supplementary Video]
62. Dimitrov, A., and Golparvar-Fard, M.
Robust NURBS Surface Fitting from Unorganized 3D Point Clouds for Infrastructure As-Built Modeling
International Conference on Computing in Civil and Building Engineering (ICCCBE), ASCE, 81-88, June 23-25, Orlando, FL, 2014.
61. Bae, H., Golparvar-Fard, M., and Jules W.
Rapid Image-based Localization using Clustered 3D Point Cloud Models with Geo-Location Data for AEC/FM Mobile Augmented Reality Applications
International Conference on Computing in Civil and Building Engineering (ICCCBE), ASCE, 841-849, June 23-25, Orlando, FL, 2014.
60. Han, K., and Golparvar-Fard, M.
Multi-Sample Image-based Material Recognition and Formalized Sequencing Knowledge for Operation-Level Construction Progress Monitoring
International Conference on Computing in Civil and Building Engineering (ICCCBE), ASCE, 364-372, June 23-25, Orlando, FL, 2014.
59. Ham, Y., and Golparvar-Fard, M.
Updating R-values of BIM Elements using 3D Thermography for Accurate Building Energy Performance Simulation
International Conference on Computing in Civil and Building Engineering (ICCCBE), ASCE, 113-120, June 23-25, Orlando, FL, 2014.
58. Balali, V., and Golparvar-Fard, M.
Video-Based Detection and Classification of US Traffic Signs and Mile Markers using Color Candidate Extraction and Feature-Based Recognition
International Conference on Computing in Civil and Building Engineering (ICCCBE), ASCE, 858-866, June 23-25, Orlando, FL, 2014.
57. Dimitrov, A., and Golparvar-Fard, M.
Robust Context Free Segmentation of Unordered 3D Point Cloud Models
Construction Research Congress, ASCE, 11-20, May 19-21, Atlanta, GA, 2014.
* Best Conference Paper Award, Second-Place
56. Chen, A., Golparvar-Fard, M., and Kleiner, B.
SAVES: An augmented reality strategy for training construction hazard recognition
Construction Research Congress, ASCE, 2345-2354, May 19-21, Atlanta, GA, 2014.
55. Khosrowpour, A., Federov, I., Holynski, A., Niebles, J.C., and Golparvar-Fard, M.
Automated Worker Activity Analysis in Indoor Environments for Direct-Work Rate Improvement from long sequences of RGBD Images
Construction Research Congress, ASCE, 729-738, May 19-21, Atlanta, GA, 2014.
54. Han, K., and Golparvar-Fard, M.
Automated Monitoring of Operation-Level Construction Progress Using 4D BIM and Daily Construction Photologs
Construction Research Congress, ASCE, 1033-1042, May 19-21, Atlanta, GA, 2014.
53. Balali, V., and Golparvar-Fard, M.
Scalable Non-Parametric Parsing and 3D Reconstruction for Segmentation and Recognition of Low-Cost Highway Assets from Car-Mounted Video Streams
Construction Research Congress, ASCE, 120-129, May 19-21, Atlanta, GA, 2014.
52. Ham, Y., and Golparvar-Fard, M.
Evaluating the Value of Investment in Building Insulation Retrofits based on EPAR - Energy Performance Augmented Reality- Models
Construction Research Congress, ASCE, 2234-2243, May 19-21, Atlanta, GA, 2014.
51. Ham, Y., and Golparvar-Fard, M.
EPAR V2.0: Automated Monitoring and Visualization of Potential Areas for Building Retrofit using Thermal Cameras and Computational Fluid Dynamics (CFD) Models
5th International Conference on Construction Engineering and Project Management (ICCEPM), 9-11 January, Anaheim, CA, USA, 2013.
50. Albert, A., Tixier, A., Hallowell, M.R., Golparvar-Fard, M., Chen, Ao., and Kleiner, B.
Teaching construction hazard recognition through high fidelity augmented reality
120th ASEE Annual Conference and Exposition, Paper ID #7806, Atlanta, June 23-26, 2013.
49. Bae, H., Golparvar-Fard, M., and Jules W.
High-precision and Infrastructure-independent Mobile Augmented Reality System for Context-Aware Construction and Facility Management Applications
International Workshop on Computing in Civil Engineering, ASCE, 637-644, Los Angeles, CA., 2013
* Best Conference Paper Award
48. Han, K., Gwak, J., Golparvar-Fard, M., Saidi, K., Cheok, G., Franaszek, M., and Lipman, R.
Vision-based Field Inspection of Concrete Reinforcing Bars
13th International Conference on Construction Applications of Virtual Reality (CONVR) 2013, London, UK. Oct. 30-31, 2013.
47. Han, K., Igarashi, Z., Fukuchi, Y., and Golparvar-Fard, M.
Image-based Quality Monitoring for Alignment and Placement of Prefabricated Bridge Structural Components
1st International Conference on Civil and Building Engineering Informatics (ICCBEI), Tokyo, Japan. Nov. 7-8, 2013.
46. Ham, Y., and Golparvar-Fard, M.
Calculating the Cost of Heating and Cooling Loss for Building Diagnostics using EPAR - Energy Performance Augmented Reality - Models
International Conference on Computing in Civil Engineering, ASCE, 242-249, Los Angeles, CA, 2013.
45. Balali, V. , Golparvar-Fard, M., and de la Garza, J.
Video-Based Highway Asset Recognition and 3D Localization
International Conference on Computing in Civil Engineering, ASCE, 379-386, Los Angeles, CA, 2013.
44. Golparvar-Fard, M., Tang P., Cho, Y., and Siddiqui, M.
Challenges in Architecture/Engineering/Construction and Facility Management Industry for Data and Information Visualization
ASCE International Conference on Computing in Civil Engineering, ASCE, 849-848, Los Angeles, CA, 2013.
43. Ham, Y., and Golparvar-Fard, M.
Automated Cost Analysis of Energy Loss in Existing Buildings through Thermographic Inspections and CFD Analysis
30th International Symposium on Automation and Robotics in Construction (ISARC), Montreal, Canada, Aug. 11-15, 2013.
42. Chen, A., Golparvar-Fard, M., and Kleiner, B.
Design and Development of SAVES: A Construction Safety Training Augmented Virtuality Environment for Hazard Recognition and Severity Identification
ASCE International Conference on Computing in Civil Engineering, 841-848, Los Angeles, CA, 841-848, 2013.
41. Baines, A., Czauski, T., White, J., Dougherty, B., and Golparvar-Fard, M.
CTrack: A cyber-physical approach to construction site work improvement studies
2013 9th International, Wireless Communications and Mobile Computing Conference (IWCMC), 1412-1417, 1-5 July 2013.
40. Miranda, P., Sharakhov, N., White, J., Golparvar-Fard, M., and Dougherty B.
Hybrid 4-Dimensional Augmented Reality: A High-precision Approach to Mobile Augmented Reality
International Conference on Pervasive and Embedded Computing and Communication System. 156-161, 2013
* Accepted for Oral Presentation (15% acceptance rate)
39. Golparvar-Fard, M., Dimitrov, A., and Peña-Mora, F.
Robust Material Recognition for Automated Building Information Modeling from Unordered Site Image Collections
12th International Conference on Construction Applications of Virtual Reality (CONVR), 152-161, Taipei, Taiwan, Nov 1-2, 2012.
38. Bae, H.J., Golparvar-Fard, M., and White, J.
Hybrid 4-Dimensional Augmented Reality Models for Ubiquitous Context-Aware AEC/FM Applications
12th International Conference on Construction Applications of Virtual Reality (CONVR), 254-262, Taipei, Taiwan, Nov 1-2, 2012.
* Best Conference Paper Award
37. Ham, Y. and Golparvar-Fard, M.
Rapid 3D Energy Performance Modeling of Existing Buildings using Thermal and Digital Imagery
Construction Research Congress, ASCE, 991-1000, West Lafayette, IN, 2012.
36. Memarzadeh, M. and Golparvar-Fard, M.
Monitoring and visualization of building construction embodied carbon footprint using nD augmented reality models
Construction Research Congress, ASCE, 1330-1339, West Lafayette, IN, 2012.
35. Heydarian, A., Golparvar-Fard, M., and Niebles, J. C.
Automated visual recognition of construction equipment actions using spatio-temporal features and multiple binary support vector machines
Construction Research Congress, ASCE, 889-898, West Lafayette, IN, 2012.
34. Escorcia, V., Dávila M. A., Golparvar-Fard, M. and Niebles, J. C.
Automated vision-based recognition of construction worker actions for building interior construction operations
Construction Research Congress, ASCE, 878-888, West Lafayette, IN, 2012.
33. Golparvar-Fard, M., Ghadimi, B., Saidi, K., Cheok, G., Franaszek, M., and Lipman, R.
Image-based 3D Mapping of Rebar Location for Automated Assessment of Safe Drilling Areas Prior to Placing Embedments in Concrete Bridge Decks
Construction Research Congress, ASCE, 960-970, West Lafayette, IN, 2012.
32. Ham, Y. and Golparvar-Fard, M.
Identification of Potential Areas for Building Retrofit using Thermal and Digital Imagery, plus CFD Models
International Conference on Computing in Civil Engineering, ASCE, 642-649, Clear Waters, FL, 2012.
* Recognized as the 2nd best paper by the ASCE DSA committee
31. Gulbinas R., Jain R., Taylor J.E., and Golparvar-Fard, M.
Integrating Sensors with a Web-based Eco-Feedback System to Expose Building Occupants to Contextualized Energy Consumption Information
International Conference on Computing in Civil Eng, ASCE, 602-609, Clear Waters, FL, 2012.
30. Jog, G.M., Koch, C., Golparvar-Fard, M., and Brilakis, I.
Pothole Properties Measurement through Visual 2D Recognition and 3D Reconstruction
International Conference on Computing in Civil Engineering, ASCE, 553-560, Clear Waters, FL, 2012.
29. Heydarian, A., Memarzadeh, M., and Golparvar-Fard, M.
Automated benchmarking and monitoring of earthmoving operations carbon footprint using video cameras and GHG estimation model
International Conference on Computing in Civil Engineering, ASCE, 509-516, Clear Waters, FL, 2012.
28. Torok, M., Golparvar-Fard, M., and Kochersberger, K.
Robot-assisted Image-based 3D Modeling of Post-Disaster Buildings
International Conference on Computing in Civil Engineering, ASCE, 397-404, Clear Waters, FL, 2012.
27. Memarzadeh, M., Heydarian, A., Golparvar-Fard, M., and Niebles, J. C.
Real-time and Automated 2D Recognition and Tracking of Construction Workers and Equipment from Site Video Streams
The International Conference on Computing in Civil Engineering, ASCE, 429-436, Clear Waters, FL, 2012.
26. Golparvar-Fard, M., Peña-Mora, F., and Savarese, S.
Monitoring Changes of 3D Building Elements from Unordered Photo Collections
IEEE International Conference on Computer Vision (ICCV), 249-256, 2011.
* Accepted for Oral Presentation in IEEE workshop on Computer Vision for Remote Sensing of the Environment. (30% acceptance rate)
25. Guyman, D., Dougherty, B., White, J., and Golparvar-Fard, M.
Power-efficient Cyber-physical Late Arrival Detection with Smartphones
4th IEEE International Conferences on Cyber, Physical and Social Computing (CPSCom2011), 242-251, Dalian, China, Oct 19-22, 2011.
24. Uslu, B., Golparvar-Fard, M., and de la Garza, J. M.
Image-based 3D reconstruction and Recognition f or Enhanced Highway Condition Assessment
International Conference on Computing in Civil Engineering, ASCE, 67-75, Miami, FL, 2011.
* Recognized as the 2nd best paper by the ASCE DSA committee
23. Golparvar-Fard, M., Fukuchi, Y., Peña-Mora, F. and Savarese, S.
D4AR – 4D Augmented Reality – Models for As-built Visualization and Automated Progress Monitoring of Civil Infrastructure Projects
10th International Conference on Construction Applications of Virtual Reality (CONVR), 15-24, Sendai, Japan, Nov 4-5, 2010. *Keynote Paper
22. Kamat, V., Golparvar-Fard M.U, Martinez J., Peña-Mora F., Fischer, M. and Savarese, S.
CEC: Research in Visualization Techniques for Field Construction
Construction Engineering Conference, Blacksburg, VA, 1-10, Sep 30- Oct 2, 2010.
21. Golparvar-Fard, M., Peña-Mora, F. and Savarese, S.
D4AR – 4 Dimensional augmented reality - tools for automated remote progress tracking and support of decision-enabling tasks in the AEC/FM industry
The 6th Int. Conf. on Innovations in AEC Special Session - Transformative machine vision for AEC, 1-10, State College, PA, Jun 9-11, 2010.
* Best Student Conference Paper
20. Golparvar-Fard, M., Thomas, J., Peña-Mora, F. and Savarese, S.
Remote assessment of pre and post-disaster critical physical infrastructures using segway mobile workstation chariot and D4AR – 4D augmented reality – models
International Conference on Computing in Construction and Building Engineering, 1-6, Nottingham, UK, Jun 30-Jul 2, 2010.
19. Golparvar-Fard, M., Savarese, S. and Peña-Mora, F.
Model-based detection of progress using D4AR - A 4 Dimensional augmented reality- models generated by daily site photologs and building information models
International Conference on Computing in Construction and Building Engineering, 1-10, Nottingham, UK, Jun 30-Jul 2, 2010.
18. Golparvar-Fard, M., Savarese, S. and Peña-Mora, F.
Automated model component-based recognition of progress using daily construction photographs and 4D IFC-based models
Construction Research Congress, ASCE, 51-60, Banff, Canada, May 8-11, 2010.
17. Shiftehfar, R., UGolparvar-Fard, M., Peña-Mora, F., Karahalios, K., and Aziz, Z.
Application of visualization for construction emission monitoring
Construction Research Congress, ASCE, 1396-1405, Banff, Canada, May 8-11, 2010.
16. Golparvar-Fard, M., Peña-Mora, F. and Savarese, S.
Monitoring of construction performance using daily progress photograph logs and 4d as-planned models.
International Workshop on Computing in Civil Engineering, ASCE, 53-63, Austin, Texas, June 24-27, 2009.
15. Golparvar-Fard, M., Peña-Mora, F. and Savarese, S.
Sparse reconstruction and geo-registration of daily site photographs for representation of as-built construction scene and automatic construction progress data collection
International Symposium on Automation and Robotics in Construction (ISARC), 535-543, Austin, TX, June 24-27, 2009.
14. Han, S., Peña-Mora, F., Golparvar-Fard, M. and Roh, S.
Application of a Visualization Technique for Safety Management
International Workshop on Computing in Civil Engineering, ASCE, 543-551, Austin, Texas, June 24-27, 2009.
13. Roh, S., Peña-Mora, F., Golparvar-Fard, M. and Han, S. F.
Visualization application for interior progress monitoring in 3D Environment
Construction Research Congress, ASCE, 51-60, Seattle, WA, Apr 5-7, 2009.
12. Golparvar-Fard, M., Savarese, S. and Peña-Mora, F.
Interactive visual construction progress monitoring with 4D augmented reality model
Construction Research Congress, ASCE, 41-50, Seattle, WA, Apr 5-7, 2009.
11. Peña–Mora, F., Ahn, C., Golparvar-Fard, M., Hajibabai L., Shiftehfar, S., An, S., Aziz, Z. and Song S.H.
A Framework for managing emissions during construction
International Conference and Workshop on Sustainable Green Building Design And Construction, 1-10, Cairo, Egypt, 2009.
10. Peña-Mora, F., Aziz, Z., Golparvar-Fard, M., Chen, A., Plans, A., and Mehta, S.
Review of emerging technologies to support urban resilience and disaster recovery
Urban Safety of Mega Cities in Asia, 1-10, Beijing, China, Oct 16-18, 2008.
9. Han, S., Lee, S.H., Golparvar Fard, M., and Peña-Mora, F.
Modeling and representation of non-value adding activities due to errors and changes in design and construction projects
39th Conference on Winter Simulation (WSC 07), 2082-2089, Washington, DC, 2007.
8. Golparvar Fard, M., Sridharan, A., Lee, S. and Peña-Mora, F.
Visual representation of visual representation of construction progress monitoring metrics on time-lapse photographs
Construction Management and Economics Conference, , 1693-1701, Reading, UK, 2007.
7. Golparvar Fard, M. and Peña-Mora, F.
Semi-automated visualization techniques for construction progress monitoring
Construction Research Congress, Bahamas Island, 2007.
6. Golparvar Fard, M. and Peña-Mora, F.
Application of visualization techniques for construction progress monitoring
International Conference Workshop on Computing in Civil Engineering, 216-223, Pittsburgh, PA, 2007.
5. Golparvar Fard, M., Staub-French, S., Po, B. and Tory, M.
Requirements of a mobile interactive workspace for design development and coordination
XI Joint Int conference on Computing and Decision Making in Civil & Building Engineering, Montreal, QC, 2007.
4. Golparvar Fard, M.
An Interdisciplinary approach in construction industry: improving design coordination through application of interactive workspaces
1st Interdisciplinary Conf. at University of British Columbia, Vancouver, BC, 2006.
3. Golparvar Fard, M., Yeganeh-Bakhtiary, A. and Cheng, L.
Two-phase flow modeling of clear-water onset and jet scour under offshore pipelines
XXXI Int. Association of Hydraulic Engineering and Research Congress, FAHR05-03, 2005.
2. Golparvar Fard, M., Yeganeh-Bakhtiary, A., Cheng, L.
Numerical Study of Gap to Diameter Ratio Effects in Steady Current under Offshore Pipelines
2nd National Congress of Civil Engineering, Tehran, Iran, No.1088, 2005.
1. Golparvar Fard, M., Yeganeh-Bakhtiary, A., Cheng, L., and Khayyer, A.
Numerical simulation of jet flow hydrodynamics at erosion tunnel beneath offshore pipelines
2nd National Congress of Civil Engineering, Tehran, Iran, No. 3008, 2005.