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Antoine Bilodeau, PhD

Professor, Political Science


Antoine Bilodeau, PhD
Phone: (514) 848-2424 ext. 5067
Email: Antoine.Bilodeau@concordia.ca
Website(s): Complete professional website

Dr. Antoine Bilodeau’s research focuses on the political integration of immigrants in Canada and other Western democracies and on understanding the roots of views toward immigration and ethnic diversity. He also studies questions relating to youth political engagement and political socialization.

Dr. Bilodeau is the leader of the Provincial Diversity Project with Luc Turgeon (Ottawa), Ailsa Henderson (Edinburgh) and Stephen White (Concordia). 

Dr. Bilodeau is a member of the steering committee for the Centre for the Study of Democratic Citizenship, a senior research affiliate with the Canadian Network for research on Terrorism, Security and Society (TSAS), and a member of the Center for Immigration Policy Evaluation.

Education

PhD (University of Toronto)

Research interests

Canadian politics, immigration, ethnic diversity, youth political engagement and political behaviors.

Research affiliations

Centre for the Study of Democratic Citizenship 

Canadian Network for Research on Terrorism, Security and Society

Centre for Immigration Policy Evaluation

Awards

     Winner of the John McMenemy Prize (Best article published in French or English in CJPS in 2019): Turgeon, L., A. Bilodeau, S. White, and A. Henderson. 2019. “A Tale of Two Liberalisms? Understanding Support for Restrictions on Minority Religious Symbols in Quebec and the Rest of Canada.” Canadian Journal of Political Science 54 (2): 247-265.


Winner of the 2016/2017 Concordia University Research Award (Person and Society).


Winner of the McMenemy Prize for the best article published in French or English in the Canadian Journal of Political Science in 2010: Bilodeau, Antoine, S. White and N. Nevitte. 2010. “The Development of Dual Loyalties: Immigrants’ Integration to Regional Canadian Dynamics.” Canadian Journal of Political Science 43 (03): 515-544.    


Teaching activities

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)



Selected publications

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

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