Mani Golparvar-Fard
For More Information
- Link to Golparvar-Fard's research group's website
- Link to Golparvar-Fard's startup company launched from research group in December 2015. The company has raised $28 million dollars in venture funding putting it among the fastest ConTech companies as listed by Crunchbase.
Education
- Bachelor of Science in Civil Engineering, Iran University of Science and Technology, 1998-2002
- Master of Science in Civil Engineering, Area: Hydro Structures, Iran University of Science and Technology, 2002-2005
- Master of Applied Science in Civil Engineering, Area: Project and Construction Management, University of British Columbia, 2005-2006
- Master of Computer Science, Areas: Computer Vision and Machine Learning, University of Illinois at Urbana-Champaign, 2008-2010
- Doctor of Philosophy in Civil Engineering, Area: Construction Engineering and Management, University of Illinois at Urbana-Champaign, 2006-2010
Biography
Dr. Mani Golparvar is Professor of Civil Engineering, Computer Science, & Technology Entrepreneurship, Faculty Entrepreneurial Fellow, Excellence Faculty Fellow, and the director of the Real-time and Automated Monitoring and Control (RAAMAC) lab at the University of Illinois at Urbana-Champaign (UIUC). He received his Ph.D. degree in Civil Engineering and MS degree in Computer Science from UIUC in 2010, MASc in Civil Engineering from the University of British Columbia in 2006, and MS and BS in Civil Engineering from Iran University of Science and Technology in 2005 and 2002 respectively. Prior to joining the faculty at UIUC, he was an Assistant Professor in Civil Engrg at Virginia Tech.
Dr. Golparvar has worked with many national and international construction companies and most extensively with Turner Construction. Dr. Golparvar-Fard has several patents and is currently involved with Reconstruct Inc., an early-stage technology company with $28 million in venture capital funding that was founded based on the outcomes of his ongoing research projects.
He is the recipient of the 2018 Walter Huber Research Prize from the American Society of Civil Engineers (ASCE), 2017 Young Professional Award from Engineering News-Record (ENR), 2016 ASCE Dan H. Halpin Award for Scholarship in Construction, 2013 ASCE James R. Croes Medal for innovation in Civil Engrg, 2013 FIATECH CETI award for outstanding researcher, 2012 best paper award from the ASCE Journal of Construction Engrg and Management, and numerous conference paper awards. Dr. Golparvar serves on the editorial board of the ASCE Journal of Computing in Civil Engineering, ASCE Journal of Construction Engrg and Management, and Elsevier Journal of Automation in Construction. He is also the founder of RECONSTRUCT, a startup company that offers visual data analytics to construction projects. The underlying technology is licensed from UIUC and is recognized by several awards including an Innovation Award from Turner Construction Company in 2015 and 016 World Economic Forum's most innovative startup company.
Academic Positions
- Assistant Professor, Virginia Tech, Via Department of Civil and Environmental Engineering, 2010-2012
- Principal Faculty, Virginia Tech, Myers-Lawson School of Construction, 2010-2012
- Assistant Professor, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2013-2016
- Assistant Professor, University of Illinois at Urbana-Champaign, Department of Computer Science, 2013-2016
- Associate Professor, Faculty Entrepreneurial Fellow, and Faculty Excellence Fellow, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2016-2022
- Associate Professor, University of Illinois at Urbana-Champaign, Technology Entrepreneurship Program, 2017-2022
- Associate Professor, University of Illinois at Urbana-Champaign, Department of Computer Science, 2016-2022
- Faculty Affiliate, University of Illinois at Urbana-Champaign, Illinois Institute of Informatics, 2013-present
- Faculty Affiliate, University of Illinois at Urbana-Champaign, Computational Science and Engineering (CSE) Program, 2013-present
- Professor, Faculty Entrepreneurial Fellow, and Faculty Excellence Fellow, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, 2022-present
- Professor, University of Illinois at Urbana-Champaign, Technology Entrepreneurship Program, 2022-present
- Professor, University of Illinois at Urbana-Champaign, Department of Computer Science, 2022-present
- Professor, University of Illinois System, Discovery Partners Institute, 2022-present
Other Professional Employment
- Co-Founder and Chief Strategy Officer (CSO), Reconstruct Inc., Champaign, IL and Menlo Park, CA, 2023-present
Professional Highlights
- Navvis (2024". "future of the AEC industry and the exciting potentials of reality capture technology." https://www.navvis.com/resources/podcasts/modernizing-construction?utm_campaign=construction&utm_source=linkedin&utm_medium=social&utm_content=scanning%20realities%20podcast%20ep%204%20promo%202
- SmartBuildings Technologies (2023) "AI and construction: Optimizing job sites from behind the scenes" https://www.smartbuildingstech.com/intelligent-building-systems/article/21266345/artificial-intelligence-ai-and-building-construction-optimizing-job-sites-from-behind-the-scenes
- Oracle (2021). https://blogs.oracle.com/construction-engineering/post/how-the-institute-for-artificial-intelligence-in-construction-will-help-transform-the-industry
- Fox News (2020) UI professor's software streamlines work on construction sites TV Interview https://foxillinois.com/news/illinois-innovations/ui-professors-software-streamlines-work-on-construction-sites
Resident Instruction
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Fall 2024
- CEE595- Artificial Intelligence (AI) in Construction, University of Illinois at Urbana-Champaign, Fall 2024
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Spring 2024
- CEE595- Artificial Intelligence (AI) in Construction, University of Illinois at Urbana-Champaign, Fall 2023
- CEE522- Visual Data Analytics, University of Illinois at Urbana-Champaign, Fall 2022
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Spring 2023
- CEE595- Artificial Intelligence (AI) in Construction, University of Illinois at Urbana-Champaign, Fall 2022
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Fall 2022
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Spring 2022
- CEE595- Artificial Intelligence (AI) in Construction, University of Illinois at Urbana-Champaign, Fall 2021
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Fall 2021
- CEE598- Visual Sensing for Civil Infrastructure Engineering and Management, University of Illinois at Urbana-Champaign, Spring 2021
- CEE595- Artificial Intelligence (AI) in Construction (new webinar series), University of Illinois at Urbana-Champaign, Fall 2020
- CEE320- Construction Engineering and Management, University of Illinois at Urbana-Champaign, Fall 2020
- CEE598BIM and CEE598BIO: Building Information Modeling, University of Illinois at Urbana-Champaign, Spring 2020
Research Interests
- Computer Vision and Machine Learning for Monitoring Construction and Operation in the Built Environment
Research Areas
Books Edited or Co-Edited (Original Editions)
- White, J., Schmidt, D.C., and Golparvar-Fard, M. (2014). "Proceedings of the IEEE; Special Issue: Applications of Augmented Reality", 102(2), 1-2.
Chapters in Books
- Lin, J., and Golparvar-Fard, M. (2020) "Construction Progress Monitoring Using Cyber-Physical Systems" Cyber Physical Systems in the Built Environment, Chimay Anumba and Nazila Roofigari.
- Lin, J., and Golparvar-Fard, M. (2019) "Computer Vision and BIM-Driven Data Analytics for Monitoring Construction and Operation in the Built Environment" Construction 4.0: An Innovation Platform for the Built Environment; Editors: Anil Sawhney, Michael Riley, Javier Irizarry, and Cristina Toca Perez.
- Golparvar-Fard M., Peña-Mora F., and Savarese S. (2012). “D4AR- A 4-Dimensional Augmented Reality Model for Automating Construction Progress Data Collection, Processing and Communication.” Future IT in Construction.
- Peña-Mora F., Golparvar-Fard M., Aziz Z. and Roh S. (2011). “Collaborative Design Development and Progress Coordination During the Construction Phase.” A book chapter in “Collaborative Design in Virtual Environments. Editors: Zinagyu Wang and Jerry Tsai.
Monographs
- Saidi, K., Cheok, G., Franaszek, M., Brown, C., Swerdlow, J., Lipman, R., Katz, I., Golparvar-Fard, M., Goodrum, P., Akula, M., Dadi, G., and Ghadimi, B. (2011), “Development and Use of the NIST Intelligent and Automated Construction Job Site Testbed”. NIST TN 1726, National Institute of Standards and Technology, Gaithersburg, MD, Dec. 2011.
Selected Articles in Journals
- Jung Y., Chob I., Hsu, S., and Golparvar-Fard M. (2024) "VisualSiteDiary: A Detector-Free Vision-Language Transformer Model for Captioning Photologs for Daily Construction Reporting and Image Retrieval", Automation in Construction 165 , 105483.
- Pal A, Lin JJ, Hsieh SH, Golparvar-Fard M. (2024) Activity-level construction progress monitoring through semantic segmentation of 3D-informed orthographic images. Automation in Construction. 2024 Jan 1;157:105157.
- Jung, Y., , Hockenmaier, J., and Golparvar-Fard, M. (2023) “A Transformer Language Model for Mapping Construction Schedule Activities to Uniformat Categories”, Elsevier Journal of Automation in Construction.
- Pal, A., Lin, J. Hseih, S. and Golparvar-Fard, M. (2023). "Automated vision-based construction progress monitoring in built environment through digital twin", Elsevier Journal of Developments in the Built Environment, 16, 100247
- Ibrahim, A., Torres-Calderon W., and Golparvar-Fard, M. (2023). "A Reinforcement Learning Approach for High-quality Reality Mapping of Indoor Construction Using Unmanned Ground Vehicles," Elsevier Journal of Automation in Construction, 156, 105-110.
- Amer, F., Jung, Y., Golparvar-Fard, M. (2023) "Construction Schedule Augmentation with Implicit Dependency Constraints and Automated Generation of LookAhead Plan Revisions", Elsevier Journal of Automation in Construction, 152, 104896.
- 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.
- 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.
- Ibrahim, A., Golparvar-Fard, M. and El-Rayes, K. (2022). "Multiobjective Optimization of Reality Capture Plans for Computer Vision–Driven Construction Monitoring with Camera-Equipped UAVs". Journal of Computing in Civil Engineering, 36 (5), 04022018.
- 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
- 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).
- 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.
- 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, 35 (6).
- 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)
- 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
- 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
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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
- Bhandari, S., Hallowell, M. R., Van Boven, L., Golparvar-Fard, M., and Gruber, J. (2020). "Using Augmented Virtuality to Examine How Emotions Influence Construction Hazard Identification, Risk Assessment, and Safety Decisions" ASCE Journal of Construction Engineering and Management. 146( 2). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001755
- 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
- 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
- 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
- Roberts, D. and Golparvar-Fard, M. (2018). "End-To-End Vision-Based Detection, Tracking and Activity Analysis of Interacting Earthmoving Equipment.” Elsevier Journal of Automation in Construction (94) 312-326.
- Han, K., Degol, J., and Golparvar-Fard, M. (2017). "Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring." ASCE Journal of Construction Engineering and Management.
- Han, K. and Golparvar-Fard, M. (2017). Crowdsourcing BIM-guided Collection of Construction Material Library from Site Photologs. Journal of Visualization in Engineering. 5:14.
- Han K. and Golparvar-Fard, M. (2017) "Potential of Big Visual Data and Building Information Modeling for Construction Performance Analytics: An Exploratory Study" Elsevier Journal of Automation in Construction (73) 184-198.
- Bae H., Walker M., White J., Pan, Y., Sun, Y., and Golparvar-Fard, M. (2016). “Fast and Scalable Structure-From-Motion Based Localization for High-Precision Mobile Augmented Reality Systems” mUX: Springer Journal of Mobile User Experience, 5 (1) 1-21.
- Dimitrov, A., Gu, R., and Golparvar-Fard. “Non Uniform B-Spline Surface Fitting from Unordered 3D Point Clouds for As-Built Modeling” (2016) Journal of Computer-Aided Civil and Infrastructure Engineering, Wiley DOI: 10.1111/mice.12192
- Yoon, H., Elanwar, H., Choi, H., Golparvar‐Fard, M., & Spencer, B. F. (2016). "Target‐free Approach for Vision‐Based Structural System Identification Using Consumer‐Grade Cameras." Structural Control and Health Monitoring, 23 (12), 1405–1416.
- Ham, Y., Han, K.K., Lin, J.J. and Golparvar-Fard, M. (2016). "Visual Monitoring of Civil Infrastructure Systems via Camera-Equipped Unmanned Aerial Vehicles (UAVs): a review of related works". Springer Visualization in Engineering, 4(1), 1-8.
- Balali, V., and Golparvar-Fard, M. (2015). “Segmentation and recognition of roadway assets from car-mounted camera video streams using a scalable non-parametric image parsing method”, Elsevier Journal of Automation in Construction, 49(1), 27–39.
- Dimitrov, A., and Golparvar-Fard, M. (2015). “Segmentation of Building Point Cloud Models including Detailed Architectural/Structural Features and MEP Systems”, Elsevier Journal of Automation in Construction, 51, 32-45
- Balali, V., and Golparvar-Fard, M. (2015) “Evaluation of Multi-Class Traffic Sign Detection and Classification Methods for U.S. Roadway Asset Inventory Management", Journal of Computing in Civil Engineering, 10.1061/(ASCE)CP.1943-5487.0000491 , 04015022, ASCE.
- 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” (2015) Journal of Advanced Engineering Informatics, 29 (4), 889–901.
- Cho, Y., Ham, Y., and Golparvar-Fard, M. (2015) “3D As-is Building Energy Modeling and Diagnostics: A Review of the State-of-the-Art.” Elsevier Journal of Advanced Engineering Informatics, 29(2), 184–195.
- Balali, V., Sadeghi, M.A. and Golparvar-Fard, M. (2015) “Image-based Retro-Reflectivity Measurement of Traffic Signs in Day Time” Elsevier Journal of Advanced Engineering Informatics, 29(4), 1028-1040
- Balali, V., Ashouri Rad, A., and Golparvar-Fard, M. (2015) “Detection, Classification, and Mapping of U.S. Traffic Signs Using Google Street View Images for Roadway Inventory Management.” Springer Visualization in Engineering, 3(15), 1-18.
- Yang, J., Park, M.W., Vela, P.A., and Golparvar-Fard, M. (2015) “Construction Performance Monitoring via Still Images, Time-Lapse Photos, and Video Streams: Now, Tomorrow, and the Future", Elsevier Journal of Advanced Engineering Informatics, 29(2), 211–224.
- Yoon, H., Ham, Y., Golparvar-Fard, M., and Spencer, B. (2015) "Forward-Backward Approach for 3D Event Localization using Commodity Smartphones for Ubiquitous Context-Aware Applications in Civil and Infrastructure Engineering." Computer‐Aided Civil and Infrastructure Engineering 31 (4), 245-260.
- Han, K., and Golparvar-Fard, M. (2015). “Appearance-based Material Classification for Monitoring of Operation-Level Construction Progress Using 4D BIM and Site Photologs.” Elsevier Journal of Automation in Construction, 53, 44-57.
- Liu, K., and Golparvar-Fard, M. (2015) “Crowdsourcing Construction Activity Analysis from Jobsite Video Streams” ASCE Journal of Construction Engineering and Management, 10.1061/(ASCE)CO.1943-7862.0001010, 04015035, 1-19.
- Bae, H., White, J., Golparvar-Fard, M., Pan, Y., Sun, Y. “Fast and Scalable 3D Cyber-physical Modeling for High-precision Mobile Augmented Reality Systems” (2015) Journal of Personal and Ubiquitous Computing, Personal and Ubiquitous Computing 19 (8), 1275-1294.
- Karsch, K., Golparvar-Fard, M., and Forsyth, D. (2014). “ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models”, ACM Transactions on Graphics, 33(6)
- Ham, Y., and Golparvar-Fard, M. (2014). “3D visualization of thermal resistance and condensation problems using infrared thermography for building energy diagnostics”, Springer Journal of Visualization in Engineering, 2:12.
- Khosrowpour, A., Niebles, J.C., and Golparvar-Fard, M. (2014). “Vision-based workface assessment using depth images for activity analysis of interior construction operations”, Elsevier Journal of Automation in Construction, 48, 27–39, 74-87.
- Ham, Y., and Golparvar-Fard, M. (2014). "Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modeling", Elsevier Journal of Automation in Construction, 49 (B), 214–224.
- Dimitrov, A., and Golparvar-Fard, M. (2014). "Vision-Based Material Recognition for Automated Monitoring of Construction Progress and Generating Building Information Modeling from Unordered Site Image Collections", Elsevier Journal of Advanced Engineering Informatics, 28(1), 37–49.
- Ham, Y., and Golparvar-Fard, M. (2014). “Three-Dimensional Thermography-Based Method for Cost-Benefit Analysis of Energy Efficiency Building Envelope Retrofits.” ASCE Journal of Computing in Civil Engineering, 10.1061/(ASCE)CP.1943-5487.0000406, B4014009.
- Bae, H., Golparvar-Fard, M., and White, J. (2014). "Image-based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-time Field Reporting Applications", ASCE Journal of Computing in Civil Engineering, 10.1061/(ASCE)CP.1943-5487.0000392, B4014008.
- Albert, A., Hallowell, M.R., Kleiner, B., Chen, A., Golparvar-Fard, M. (2014). ”Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality.” ASCE Journal of Construction Engineering and Management, 140(7), 04014024.
- Golparvar-Fard, M., and Ham, Y. (2014). “Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings using EPAR - Energy Performance Augmented Reality - Models.” Journal of Computing in Civil Engineering, ASCE, Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment. 28(1), 17-29.
- Milad Memarzadeh, Golparvar-Fard, M., and Niebles, J.C. (2013). “Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors”. Elsevier Journal of Automation in Construction (32), 24-37.
- Guyman, D., Dougherty, B., White, J., and Golparvar-Fard, M. (2013). “Power-efficient Cyber-physical Late Arrival Detection with Smartphones.” Springer Journal of Mobile Networks and Applications.
- Ham. Y., and Golparvar-Fard, M. (2013). “EPAR: Energy Performance Augmented Reality models for identification of building energy performance deviations between actual measurements and simulation results.” Elsevier Journal of Energy and Buildings (63), 15-28, ISSN 0378-7788 (impact factor: 2.809)
- Bae, H.J., Golparvar-Fard, M., and White, J. (2013) "High-precision Vision-based Mobile Augmented Reality System for Context-aware AEC/FM Applications." Springer Journal of Visualization in Engineering, 1:3,10.1186/2213-7459-1-3.
- Golparvar-Fard, M., Balali, V., and de la Garza, J.M. (2013). “Segmentation and Recognition of Highway Assets using Image-based 3D Point Clouds and Semantic Texton Forests.” ASCE Journal of Computing in Civil Engineering, Special Issue on Data Sensing and Analysis. 04014023.
- Ham, Y. and Golparvar-Fard, M. (2013). "An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery", Elsevier Journal of Advanced Engineering Informatics, 27 (3), 395-409.
- Torok, M., Golparvar-Fard, M., and Kochersberger, K. (2013). "Image-Based Automated 3D Crack Detection for Post-Disaster Building Assessment." ASCE Journal of Computing in Civil Engineering, 10.1061/(ASCE)CP.1943-5487.0000334.
- Ahn, C., Lewis, P., Golparvar-Fard, M., and Lee, S.(2013) “Toward An Integrated Framework for Estimating, Benchmarking and Monitoring the Environmental Impacts of Construction Operations.” ASCE Journal of Construction Engineering and Management, 139(12), A4013003.
- Golparvar-Fard, M., Heydarian, A., and Niebles, J.C. (2013). “Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers," Elsevier Journal of Advanced Engineering Informatics, 27 (4), 652-663.
- Gulbinas, R., Jain, R.K., Taylor, J.T., Peschiera, G., Siegel, J., and Golparvar-Fard, M. (submitted 2012). “Network Eco-Informatics: Development of a Social Eco-Feedback System to Drive Energy Efficiency in Residential Buildings.” ASCE Journal of Computing in Civil Engineering, Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment, 28(1), 89–98.
- MCcoy, A., Golparvar-Fard, M., and Rigby, E. (2012). “Reducing barriers to remote projects: a case study of low-tech image-based 3D reconstruction techniques.” ASCE Journal of Architectural Engineering, 10.1061/(ASCE)AE.1943-5568.0000118, 05013002.
- Golparvar‐Fard, M., Peña‐Mora, F., and Savarese, S. (2012). "Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC‐Based Building Information Models." ASCE Journal of Computing in Civil Engineering, 10.1061/(ASCE)CP.1943-5487.0000205.
- Peña-Mora, F., Thomas, J., Golparvar-Fard, M. and Aziz, Z. (2012). “Supporting civil engineers during disaster response and recovery using a Segway mobile workstation chariot.” ASCE Journal of Computing in Civil Engineering, 26(3), 448-455.
- Fukuchi, Y. and Golparvar-Fard, M. (2011). “Automated visualization technology with D4AR models.” Japan Construction Information Technology (CIC) Information 103 Journal, 26(3), 50-55.
- Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2011). “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.” ASCE Journal of Construction Engineering and Management. 137(12), 1-21.
- Golparvar-Fard, M., Bohn, J., Teizer, J., Savarese, S. and Peña-Mora, F. (2011). “Evaluation of still photography and laser scanning as emerging automated performance monitoring techniques.” Elsevier Journal of Automation in Construction. 20(8), 1143-1155.
- Kamat, V., Golparvar-Fard M., Martinez J., Peña-Mora F., Fischer, M. and Savarese S. (2011). “Research in Visualization Techniques for Field Construction.” ASCE J. of Construction Engineering and Management. 137(10), 853-863.
- Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2009). “D4AR- A 4-Dimensional augmented reality model for automating construction progress data collection, processing and communication.” Journal of Information Technology in Construction (ITcon), Special Issue Next Generation Construction IT: Technology Foresight, Future Studies, Roadmapping, and Scenario Planning, 14, 129-153.
- Golparvar-Fard, M., Peña-Mora, F. Arboleda, C. A., and Lee, S. H. (2009). “Visualization of construction progress monitoring with 4d simulation model overlaid on time-lapsed photographs.” ASCE J. of Computing in Civil Engineering, 23 (6), 391-404.
- Golparvar-Fard, M., Yeganeh-Bakhtiary, A. and Cheng, L. (2005). “Numerical simulation of steady current below offshore pipeline near plane boundary.” International Journal of Civil Engineering, 3 (1), 46-57.
Articles in Conference Proceedings
- Hsu, S., and Golparvar-Fard, M. (2024) “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, Iowa, US.
- Núñez-Morales, J., Jung, Y., and Golparvar-Fard, M. (2024) “A Bi-Directional Image-To-Text Mapping to Advance NLP-Based Schedule Generation and Computer Vision Progress Monitoring Techniques“, Construction Institute & Construction Research Congress joint Conference, Iowa, US. (in preparation)
- Jung, Y; Golparvar-Fard, M. (2024) Voice-assisted AI-Chatbot for Construction: Speech-to-Text Deep Learning Transformer, trained with Synthetic Datasets, Proceedings, ASCE International Conference on Computing in Civil Engineering.
- Nunez-Morales, J., Jung, Y; Golparvar-Fard, M. (2024) Evaluation of Mapping Computer Vision Segmentation from Reality Capture to Schedule Activities for Construction Monitoring in the Absence of Detailed BIM, 41st International Symposium on Automation and Robotics in Construction – ISARC 2024
- Hsu, S.; Fu, J.; Golparvar-Fard, M. (2024) VL-Con: Vision-Language Dataset for Deep Learning-based Construction Monitoring Applications, , 41st International Symposium on Automation and Robotics in Construction – ISARC 2024
- Jung, Y., Hockenmaier, J., and Golparvar-Fard, M. (2023) “Feasibility Analysis on the Use of NLP-based Schedule Activity Analysis for 4D Project Planning and Controls”, ASCE International Conference on Computing in Civil Engineering, Corvallis, OR
- Núñez-Morales, J., Hsu, S., Ibrahim, A., and Golparvar-Fard, M. (2023) “New Metrics to Benchmark and Improve BIM Visibility within a Synthetic Image Generation Process for Computer Vision Progress Tracking“, CSCE/CRC International Construction Specialty Conference, Moncton, New Brunswick, Canada
- Núñez-Morales, J., Hsu, S., and 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, Corvallis, OR
- 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
- 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
- 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).
- 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%
- 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)
- 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
- 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
- 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
- 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
- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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
- 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
- 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.
- 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)
- 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)
- 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)
- 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
- 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.
- 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
- 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
- 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).
- 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.
- 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).
- 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).
- 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.
- 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%).
- Karsch, K., Golparvar-Fard, M., and Forsyth, D. (2014). “ConstructAide: Analyzing and Visualizing Construction Sites through Photographs and Building Models.” SIGGRAPH Asia.* Acceptance Rate: 18%
Other Publications
Magazine Articles
- Golparvar-Fard (2012). "D4AR- 4 Dimensional Augmented Reality Models for Integrated 4D AS-built, Plan Visualization, and Automated Construction Progress Monitoring." LiDAR magazine, 2(10), 1-4.
- Ham, Y., and Golparvar-Fard (2012). "Rapid 3D Energy Modeling for Retrofit Analysis of Existing Buildings Using Thermal and Digital Imagery." LiDAR magazine, 3(4), 1-4.
Journal Editorships
- Associate Editor, ASCE Open Multidisciplinary Journal of Civil Engineering, 2023-present.
- Associate Editor, ASCE Journal of Computing in Civil Engineering, 2012-present.
- Specialty Editor, Information Technology in Construction, ASCE Journal of Construction Engineering and Management, 2012-present.
- Editorial Board Member, ASCE Journal of Computing in Civil Engineering, 2020-present.
- Guest Editor, Elsevier Journal of Automation in Construction, Special issue on IoT for Smart Infrastructure, 2017.
- Associate Editor, Elsevier Journal of Automation in Construction, 2015-present.
- Editorial Review Board Member, Emerald Journal of Engineering, Construction and Architectural Management, 2015-present.
- Member of the Editorial Board, IPMA Journal of Construction Engineering and Project Management, 2011-present.
- Guest Editor, IEEE Proceedings, 102(2), Special Issue on Applications of Augmented Reality, 2014.
Conferences Organized or Chaired
- Scientific Committee Member, The 20th conference of the International Society for Computing in Civil and Building Engineering August 25 to 28, 2024
- Scientific Committee Member, 10th International Conference on Innovative Production and Construction (IPC 2024), Perth, West Australia July 8-9, 2024.
- Scientific Committee Member, TUM GNI International Symposium on Artificial Intelligence for the Built World, Munich, Germany, Sep 10-12 2024.
- Scientific Committee Member, 2023 ASCE International Conference on Computing in Civil Engineering (i3CE 2023), Oregan, 2023.
- International Scientific Committee Member, International Conference on Construction Applications of Virtual Reality in Construction (CONVR), Seoul, South Korea, Nov 16-19, 2022
- International Scientific Committee Member, International Conference on Construction Applications of Virtual Reality in Construction (CONVR), MIDDLESBROUGH, UK, Dec 8-10, 2021
- Workshop Co-Chair, The first AI in Design Workshop (2021). Institute of AI in Construction, Aug 2021.
- Workshop Chair, The first AI in Construction Workshop (2021). Institute of AI in Construction, April 2021.
- Co-Chair, Digital Twin for Civil Infrastructure, (2021) 13th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA.
- Technical Committee Member, 2022 ASCE Construction Research Congress, Washington, DC.
- Technical Committee Member, 2021 ASCE International Conference on Computing in Civil Engineering
- Chair, Project Controls track, 2020 ASCE Construction Research Congress, Phoenix, AZ
- International Scientific Committee, 37th International CIB W78 Conference, June, 2 - 4/2020 -- São Paulo - SP - Brazil
- Scientific Committee Member, CONVR 2020 - The 20th International Conference on Construction Applications of Virtual Reality, Sep 30-Oct 2, 2020, UK.
- Scientific Committee Member, The 6th International Project and Construction Management Conference, IPCMC2020, 12-14 November 2020, Istanbul, Turkey.
- International Scientific Committee, 18th International Conference on Computing in Civil and Building Engineering, June, 2 - 4/2020 - São Paulo - SP - Brazil
- Technical Committee Member, 27th EG-ICE International Workshop, Intelligent Computing in Engineering 2020, Berlin, Germany, 30th of June to 3rd of July 2020
- Technical Committee Member, 2020 ASCE Construction Research Congress, Phoenix, AZ
Professional Societies
- Member of the International Scientific Committee, The Georg Nemetschek Institute (GNI) AI for the Built World, TU Munich, 2023-present
- Member of the U.S. Institute of Building Documentation (USIBD) Imagery Committee, 2022-present
- Member of International Task Force on BIM-Driven Estimating & Scheduling, AIA BIM Forum, 2020-present
- Member, Construction Industry Institute (CII) Technology Committee, 2019-present
- Chair, ASCE Construction Research Council (CRC), American Society of Civil Engineers (ASCE), 2018-2019
- Chair, Data Sensing and Analysis (DSA) Committee, Technical Council on Computing and Information Technology (TCCIT), American Society of Civil Engineers (ASCE), 2014-2016.
- Chair of the Communications subcommittee, Construction Industry Institute (CII) Academic Committee, 2014-2018
- Member, Construction Industry Institute (CII) Academic Committee, 2010- present
Service to Federal and State Government
- Board Member, U.S. Institute of Building Documentation, 2024-present
Teaching Honors
- List of Teachers Ranked as Excellent by Their Students (2022)
- List of Teachers Ranked as Excellent by Their Students (Outstanding ranking) (2020)
- List of Teachers Ranked as Excellent by Their Students (2018)
- List of Teachers Ranked as Excellent by Their Students (2018)
- List of Teachers Ranked as Excellent by Their Students (2017)
- List of Teachers Ranked as Excellent by Their Students (2016)
- List of Teachers Ranked as Excellent by Their Students (2016)
- List of Teachers Ranked as Excellent by Their Students (2014)
- List of Teachers Ranked as Excellent by Their Students (2013)
Research Honors
- Center for Advanced Study (CAS) Associate (2020)
- Illinois’ Innovation Economy Impact, Illinois Science & Technology Coalition (ISTC) (2019)
- Outstanding Reviewer, ASCE Journal of Computing in Civil Engineering (2019)
- Walter L. Huber Civil Engineering Research Prize, American Society of Civil Engineers (ASCE) (2018)
- Outstanding Reviewer, ASCE Journal of Computing in Civil Engineering (2018)
- Hojjat Adeli Award for Innovation in Computing, Wiley-Blackwell (2017)
- National Top 20 Under 40 list, Engineering News Record (ENR) (2017)
- Top Young Professional, Engineering News Record (ENR) Midwest (2017)
- World Economics Forum (WEF)'s Future of Construction Ideas (2017)
- Campus Distinguished Promotion Award, University of Illinois at Urbana-Champaign (2016)
- Daniel H. Halpin Scholarship Award in Construction, American Society of Civil Engineers (ASCE) (2016)
- Outstanding Reviewer, ASCE Journal of Computing in Civil Engineering (2016)
- Excellence Faculty Fellowship, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign (2016)
- Dean's Award for Excellence in Research, College of Engineering, University of Illinois (2016)
- Best Conference Paper Award, 6th International Conference on Construction Engineering and Project Management (ICCEPM) (2015)
- Turner Innovation Award, Turner Construction Fourth Annual Innovation program (2015)
- Faculty Entrepreneurial Fellowship, College of Engineering, University of Illinois at Urbana-Champaign (2015)
- Best Conference Paper, Data Sensing and Analysis, ASCE International Workshop on Computing in Civil Engineering (2015)
- CETI Outstanding Early Career Researcher Award, FIATECH, Austin, TX (2014)
- Best Conference Paper Award, Second-Place, ASCE Construction Research Congress, Atlanta, GA (2014)
- Best Poster Award, Second-Place, ASCE Construction Research Congress, Atlanta, GA (2014)
- Best Poster Award, Second-Place, ASCE Construction Research Congress, Atlanta, GA (2014)
- Best Poster Award, Third-Place, ASCE Construction Research Congress, Atlanta, GA (2014)
- Best Conference Paper, ASCE International Workshop on Computing in Civil Engineering (2013)
- NCSA Faculty Fellowship - 1 (2013)
- NCSA Faculty Fellowship - 2 (2013)
- James R. Croes Medal, American Society of Civil Engineers (ASCE) (2013)
- Best Journal Paper, ASCE Journal of Construction Engineering and Management (2012)
- Best Conference Paper, 12th International Conference on Construction Applications of Virtual Reality, Taipei, Taiwan (2012)
- Best Poster Award, First-Place, ASCE Construction Research Congress, West Lafayette, IN (2012)
- Paul E. Torgersen Research Excellence Award, Virginia Tech, Blacksburg, VA (2011)
- FIATECH’s Scholarship Award, FIATECH at The University of Texas-Austin, Austin, TX (2010)
- FIATECH CETI Award, Outstanding Student Researcher, FIATECH, Austin, TX (2010)
- Best Poster Award, Construction Industry Institute 10th Annual Conference, Orlando, FL (2010)
- Best Student Conference Paper, 6th Int. Conference on Innovations in AEC, College State, PA (2010)
- Best Poster Award, First-Place, ASCE Construction Research Congress, Seattle, WA (2009)
- Construction Management Association of America’s Scholarship Award, Construction Management Association of America’s Chicago Chapter, Chicago, IL (2009)
Other Honors
- Crunchbase, 50 Hot Tech Companies Globally (2019)
- Entrepreneurial Excellence: New Venture Award, The Champaign County Economic Development Corporation (2016)
- Cozad New Venture Competition Winner, University of Illinois at Urbana-Champaign (2016)
- Entrepreneurship: 2013 Consumer Electronic Show (CES) Innovation Award for HD4AR research project (commercialized as PAR Works) (2013)
- Entrepreneurship: 2013 Technical Achievement Finalist for HD4AR research project at SXSW (commercialized as PAR Works MARS). (2013)
- Entrepreneurship: 2013 Accelerator Award Finalist for HD4AR research project at SXSW (commercialized as PAR Works MARS) (2013)
Recent Courses Taught
- CEE 320 - Construction Engineering
- CEE 522 - Visual Data Analytics
- CEE 595 AIC - AI in Construction
- CEE 598 BIC (CEE 598 BIM, CEE 598 BIO) - Building Information Modeling
- CEE 598 VSO - Visual Sensing in Civil Infra