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Rausch, C. , & Haas, C. . (2021). Automated shape and pose updating of building information model elements from 3D point clouds. Automation in Construction, 124, 103561. Retrieved from https://doi.org/10.1016/j.autcon.2021.103561
Rausch, C. , Edwards, C. , & Haas, C. . (2020). Benchmarking and improving dimensional quality on modular construction projects–A case study. International Journal of Industrialized Construction, 1(1), 2-21. Retrieved from https://doi.org/10.29173/ijic212 benchmarking_and_improving_dimensional_quality_on_modular_construction_projects-a_case_study.pdf
Rausch, C. , Sanchez, B. , Esfahani, M. Esnaashary, & Haas, C. . (2020). Computational algorithms for digital twin support in construction. In Construction Research Congress 2020: Computer Applications (pp. 191-200). American Society of Civil Engineers. Retrieved from https://doi.org/10.1061/9780784482865.021
Rausch, C. , Sanchez, B. , & Haas, C. . (2019). Spatial parameterization of non-semantic CAD elements for supporting automated disassembly planning. 2019 Modular and Offsite Construction (MOC) Summit. Retrieved from https://doi.org/10.29173/mocs83 83-article_text-81-1-10-20190702.pdf
Rausch, C. , Nahangi, M. , Haas, C. , & Liang, W. . (2019). Monte Carlo simulation for tolerance analysis in prefabrication and offsite construction. Automation in Construction, 103, 300-314. Retrieved from https://doi.org/10.1016/j.autcon.2019.03.026
Rausch, C. , Nahangi, M. , Perreault, M. , Haas, C. T. , & West, J. . (2017). Optimum assembly planning for modular construction components. Journal of computing in civil engineering, 31(1). Retrieved from https://doi.org/10.1061/(ASCE)CP.1943-5487.0000605
Rausch, C. , Nahangi, M. , Haas, C. , & West, J. . (2017). Kinematics chain based dimensional variation analysis of construction assemblies using building information models and 3D point clouds. Automation in Construction, 75(33-44). Retrieved from https://doi.org/10.1016/j.autcon.2016.12.001
Rausch, C. , Nahangi, M. , Perreault, M. , Haas, C. , & West, J. . (2016). Applying the Concept of Selective Assembly to Modular Construction to Mitigate Impacts of Component Variability. ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 33(1). Retrieved from https://www.semanticscholar.org/paper/Applying-the-Concept-of-Selective-Assembly-to-to-of-Rausch-Nahangi/22354b961f3f7360681b46aaa2bcb809100266f8?p2df
Rausch, C. T. , Nahangi, M. , Haas, C. , West, J. , & Perreault, M. . (2016). RESILIENT INFRASTRUCTURE. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=13538945475943283888&btnI=1&hl=en
Rausch, C. , Zhang, L. , West, J. , & Haas, C. . (2016). Analyzing the Critical Sources of Dimensional Variability during the Lifecycle of a Steel Framed Modular Construction Project. Modular and Offsite Construction (MOC) Summit Proceedings.
Rausch, C. , Zhang, L. , West, J. , & Haas, C. . (2016). Analyzing the Critical Sources of Dimensional Variability during the Lifecycle of a Steel Framed Modular Construction Project. Modular and Offsite Construction (MOC) Summit Proceedings. Retrieved from https://doi.org/10.29173/mocs32
Razavi, S. N. , & Haas, C. T. . (2012). Reliability-based hybrid data fusion method for adaptive location estimation in construction. Journal of Computing in Civil Engineering, 26(1), 1-10. Retrieved from https://doi.org/10.1061/(ASCE)CP.1943-5487.0000101
Razavi, S. Navabzadeh, Duflos, E. , Haas, C. , & Vanheeghe, P. . (2012). Dislocation detection in field environments: A belief functions contribution. Expert Systems with Applications, 39(10), 8505-8513. Retrieved from https://doi.org/10.1016/j.eswa.2011.12.014
Razavi, S. N. , & Haas, C. T. . (2011). Using reference RFID tags for calibrating the estimated locations of construction materials. Automation in Construction, 20(6), 677-685. Retrieved from https://doi.org/10.1016/j.autcon.2010.12.009
Razavi, S. N. , & Haas, C. T. . (2010). Multisensor data fusion for on-site materials tracking in construction. Automation in Construction, 19 (8), pp. 1037-1046. Retrieved from https://www.sciencedirect.com/science/article/pii/S0926580510001159
Razavi, S. , & Haas, C. . (2010). Multi-sensor Data Fusion for On-Site Materials Tracking in Construction. Automation in Construction 19 (8), pp. 1037-1046.
Razavi, S. N. , & Haas, C. . (2009). A data fusion model for location estimation in construction.‖. Proc, the International Symposium for Automation and Robotics in Construction (ISARC). Retrieved from https://www.researchgate.net/profile/Seyed-Naser-Razavi/publication/239594768_A_Data_Fusion_Model_for_Location_Estimation_in_Construction/links/5a15ca6c4585153b546cb278/A-Data-Fusion-Model-for-Location-Estimation-in-Construction.pdf
Razavi, S. N. , Haas, C. T. , Vanheeghe, P. , & Duflos, E. . (2009). Real world implementation of belief function theory to detect dislocation of materials in construction. 2009 12th International Conference on Information Fusion. Retrieved from https://ieeexplore.ieee.org/abstract/document/5203803
Razavi, S. N. , Young, D. , Nasir, H. , Haas, C. , Caldas, C. , Goodrum, P. , & Murray, P. . (2008). Field trial of automated material tracking in construction. CSCE 2008 conference. Retrieved from https://scholar.google.ca/scholar?hl=en&as_sdt=0,5&cluster=6221283060680869399
Rehan, R. , Unger, A. , Knight, M. A. , & Haas, C. . (2015). Strategic water utility management and financial planning using a new system dynamics tool. Journal‐American Water Works Association, 107(1), E22-E36. Retrieved from https://doi.org/10.5942/jawwa.2015.107.0006

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