Jong Won Ma, Ph.D.

Education

Courses

• BLDG 480/6241 Building Information Modeling in Construction (Winter 2023 / Fall 2023 / Winter 2024 / Fall 2024)
• BCEE 371 Surveying (Summer 2024)
• BCEE 478/BLDG 6571 Project Management (Summer 2024)
• ENGR 301 Engineering Management Principles and Economics (Fall 2024)

Research interests

Scan-to-Building Information Modeling
Digital Twin
Advanced Work Packaging
Facility Management
Disaster Resilience
Construction Automation
Computer Vision and Artificial Intelligence
Deep Learning
Geographical Information System/Surveying

Research Opportunities

Dr. Jong Won Ma is currently inviting applications for multiple MS & PhD fully funded positions to study the topics centered around digital twinning of the industrial plants and automation in construction.

Qualifications
1) Research background in Construction Engineering and Project Management
2) Programming experience with Python (Colab, Jupyter, Anaconda) & ML/DL libraries (Pytorch, Tensorflow) – ability to replicate state-of-the-art algorithms
3) Fluent written and oral communication skills in English
4) Knowledge of industrial plants (mainly about Mechanical, Electrical, and Plumbing systems - pipe, valve, flange, T-section, etc.)
5) Previous research outcomes (e.g., conference papers/journal articles)

To apply for this position, please access this link - https://lnkd.in/e6EwfCCj.

Journal Papers

[J16] Ma, J.W.*; Jung, J.; Leite, F. (2024) “Deep Learning-based Scan-to-BIM Automation and Object Scope Expansion using a Low-Cost 3D Scan Data”, Journal of Computing in Civil Engineering

[J15] Ma, J.W.*; Leite, F.; Lieberknecht, K.; Stephens, K.; Bixler, R.P. (2024) “Using Q-methodology to Discover Disaster Resilience Perspectives from Local Residents”, International Journal of Disaster Risk Reduction, https://doi.org/10.1016/j.ijdrr.2024.104353

[J14] Lee, Y.; Ma, J.W.; Leite, F. (2023) “A Parametric Approach Towards Semi-Automated 3d As-Built Modeling", Journal of Information Technology in Construction, https://doi.org/10.36680/j.itcon.2023.041

[J13] Park, S.; Ma, J.W.* (2023) “Voxel-based Structural Monitoring Model for Building Structures Using Terrestrial Laser Scanning”, Journal of Building Engineering, https://doi.org/10.1016/j.jobe.2023.108151

[J12] Ma, J.W.*; Leite, F. (2022) “Performance boosting of conventional deep learning-based semantic segmentation leveraging unsupervised clustering”, Automation in Construction, https://doi.org/10.1016/j.autcon.2022.104167 

[J11] O’Connor, J. T.; Leite, F.; Ma, J.W.* (2022) “Expanding the Advanced Work Packaging Scope to include Commissioning and Startup for Industry Projects”, Construction Innovation, https://doi.org/10.1108/CI-09-2021-0173

[J10] Ma, J.W.*; Czerniawski, T.; Leite, F. (2021) “An Application of Metadata-based Image Retrieval System for Facility Management”, Advanced Engineering Informatics, https://doi.org/10.1016/j.aei.2021.101417 

[J9] Han, B.; Ma, J.W.; Leite, F. (2021) “A Framework for Automatically Identifying Occluded Objects in 3D Models: Towards Comprehensive Construction Design Review in Virtual Reality”, Advanced Engineering Informatics, https://doi.org/10.1016/j.aei.2021.101398

[J8] Ju, S.; Lim, H.; Ma, J.W.; Kim, S.; Lee, K.; Zhao, S.; Heo, J. (2021) “Optimal County-level Crop Yield Prediction Using MODIS-based Vegetation Indices and Weather Data: A Comparative Study on Machine Learning Models”, Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2021.108530

[J7] Czerniawski, T.; Ma, J.W.; Leite, F. (2021) “Automated Building Change Detection with Amodal Completion of Point Clouds”, Automation in Construction, https://doi.org/10.1016/j.autcon.2021.103568

[J6] Ma, J.W.*; Czerniawski, T.; Leite, F. (2020) “Semantic Segmentation of Point Clouds of Building Interiors with Deep Learning: Augmenting Training Datasets with Synthetic BIM-based Point Clouds”, Automation in Construction, https://doi.org/10.1016/j.autcon.2020.103144

[J5] Ma, J.W.; Nguyen, C.H.; Lee, K.; Heo, J. (2019) “Regional-Scale Rice Yield Estimation Using Stacked Auto-encoder with Climatic and MODIS data: a case study of South Korea”, International Journal of Remote Sensing, https://doi.org/10.1080/01431161.2018.1488291

[J4] Ma, J.W.; Lee, K.; Choi. K.; Heo, J. (2017) “Rice Yield Estimation of South Korea from Year 2003-2016 Using Stacked Sparse AutoEncoder”, Korean Journal of Remote Sensing, https://doi.org/10.7780/kjrs.2017.33.5.2.3

[J3] Nguyen, M.H.; Ma, J.W.; Lee, K.; Heo, J. (2017) “The Design of Web-based Crop Information System Using Open-Source Framework and Remotely Sensed Data”, Korean Journal of Remote Sensing, https://doi.org/10.7780/kjrs.2017.33.5.2.14

[J2] Nguyen, M.H.; Ju, S.; Ma, J.W.; Heo, J. (2017) “A Benchmark Test of Spatial Big Data Processing Tools and a MapReduce Application”, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, https://doi.org/10.7848/ksgpc.2017.35.5.405

[J1] Ma, J.W.; Nguyen, C.H.; Lee, K.; Heo, J. (2016) “Convolutional Neural Networks for Rice Yield Estimation Using MODIS and Weather Data: A Case Study for South Korea”, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, https://doi.org/10.7848/ksgpc.2016.34.5.525

Book Chapter

Ma, J.W.*, Czerniawski, T., Leite, F. (2022) "Automated Scan-to-BIM", Chapter in "Research Companion on Building Information Modeling", Wiley

Conference Papers

[C12] Ma, J.W.; Leite, F. (2023) “Synthetic Building Information Model Generation using Generative Design Approach”, In Proc., Canadian Society for Civil Engineering, CSCE, 2023.05.24-05.27
[C11] Alsuhaibani, A.; Ma, J.W.; Leite, F. (2023) “LivingBIM: As-designed and As-built Dataset for an Academic Building including BIM models, Point Clouds, and 360 Images”, International Conference on Computing in Civil Engineering, ASCE, 2023.06.25-06.28
[C10] Ma, J.W.; Lee, Y.; Leite, F. (2021) “A practical application using parametric modeling for as-built BIM generation from point clouds”, Construction Research Congress, ASCE, 2022.03.09-03.12
[C9] Ma, J.W.; Han, B.; Leite, F. (2021) “An Automated Framework for Generating Synthetic Point Clouds from As-built BIM with Synthetic Annotation for Scan-to-BIM”, In Proc., of the 2021 Winter Simulation Conference, IEEE, 2021.12.13-12.15 
[C8] Ma, J.W.; Leite, F. (2021) “Parallelization Strategies for Hierarchical Density-based Clustering Algorithm using OpenMP for Scan-to-BIM Applications”, In Proc., Canadian Society for Civil Engineering, CSCE, 2021.05.26-05.29 
[C7] Czerniawski, T.; Ma, J.W.; Leite, F. (2020) “Metadata-based Photo Filtering for Facility Management”, In 27th EG-ICE International Workshop on Intelligent Computing in Engineering, Berlin, Germany, 2020.07.01-07.04 (Virtual)
[C6] Ma, J.W.; Ju, S.; Nguyen. M.H.; Yun, S.B.; Yoon, S.; Heo, J. (2017) “Spatio-temporal Factor Analysis of Characterizing Mass Protest Events Using Taxi Trajectory in Seoul, Korea”, In Proceedings of the 1st ACM SIGSPATIAL International Conference on Analytics for Local Events and News, California, USA, 2017.11.07-11.10
[C5] Heo, J.; Chung, K.; Yoon, S.; Yun, S.; Ma, J.W.; Ju, S. (2017) “Spatial-Data-Driven Student Characterization in Higher Education”, In Proceedings of the 1st ACM SIGSPATIAL International Conference on Prediction of Human Mobility, California, USA, 2017.11.07-11.10
[C4] Ma, J.W.; Nguyen, C.H.; Lee, K.; Heo, J. (2017) “Rice Yield Estimation for South Korea by Stacked Sparse Autoencoders with Climatic and MODIS data”, International Symposium on Remote Sensing 2017, Nagoya, Japan, 2017.05.17-05.19
[C3] Heo, J.; Yoon, S.; Oh, W.S.; Ma, J.W.; Ju, S.; Yun, S.B. (2016) “Spatial Computing Goes to Education and Beyond: Can Semantic Trajectory Characterize Students?”, In Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, California, USA, 2016.10.31
[C2] Yun, S.B.; Yoon, S.H.; Ju, S.; Oh, W.S.; Ma, J.W.; Heo, J. (2016) “Taxi cab service optimization using spatio-temporal implementation to hot-spot analysis with taxi trajectories: a case study in Seoul, Korea”, In Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, California, USA, 2016.10.31
[C1] Ma, J.W.; Nguyen, C.H.; Heo, J. (2016) “Detecting Error Samples in National Forest Inventory by using Genetic Algorithm for Carbon Stock Estimation”, International Symposium on Remote Sensing 2016, Jeju, Korea, 2016.04.20-04.22

Membership

• American Society of Civil Engineers (ASCE) 
• ASCE Data Sensing and Analysis Committee 
• ASCE Visualization, Information Modeling, and Simulation Committee
• ASCE Construction Institute
• Construction Research Council
• Canadian Society of Civil Engineering

Journal Reviewer

• Building Simulation
• Developments in the Built Environment
• Advanced Engineering Informatics
• Multidisciplinary Journal of Civil Engineering
• Sustainable Cities and Society
• International Journal of Applied Earth Observation and Geoinformation
• IEEE Transactions on Multimedia
• Journal of Construction Engineering and Management
• Automation in Construction

Conference Track Chair/Co-Chair

• 20th International IBPSA Conference and Exhibition  
• 2027 ASCE International Conference on Computing in Civil Engineering, Pittsburgh, PA, Track Chair
• 2024 ASCE International Conference on Computing in Civil Engineering, Pittsburgh, PA, Track Chair
• 2024 Construction Research Congress, Des Moines, IA, Track Co-Chair: Computer Applications, Information Modeling, and Simulation 
• 2023 ASCE International Conference on Computing in Civil Engineering, Corvallis, OR, Track Co-Chair: Big Data and Machine Learning

Professional Committees

• Quebec Chapter Representative, Association of Korean-Canadian Scientists and Engineers
• Member, Construction Industry Institute (CII) Technology Committee