Fernanda L. Leite, Ph.D.

Affiliations: 
2009 Carnegie Mellon University, Pittsburgh, PA 
Area:
Civil Engineering
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"Fernanda Leite"

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Burcu Akinci grad student 2009 Carnegie Mellon
 (Representing and reasoning about building systems and contents to support vulnerability assessment in building emergencies.)
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Publications

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Guerra BC, Leite F, Faust KM. (2020) 4D-BIM to enhance construction waste reuse and recycle planning: Case studies on concrete and drywall waste streams. Waste Management (New York, N.Y.). 116: 79-90
Guerra BC, Leite F. (2020) Bridging the Gap between Engineering and Construction 3D Models in Support of Advanced Work Packaging Journal of Legal Affairs and Dispute Resolution in Engineering and Construction. 12: 4520029
Ji Y, Leite F. (2020) Optimized Planning Approach for Multiple Tower Cranes and Material Supply Points Using Mixed-Integer Programming Journal of Construction Engineering and Management-Asce. 146: 4020007
Leite F, Brooks G. (2020) Integrating an Architectural Engineering Undergraduate Program with Building Information Modeling Journal of Architectural Engineering. 26: 5020002
Choe S, Leite F. (2020) Transforming inherent safety risk in the construction Industry: A safety risk generation and control model Safety Science. 124: 104594
Choi J, Leite F, Oliveira DPd. (2020) BIM-based benchmarking for healthcare construction projects Automation in Construction. 119: 103347
Ma JW, 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. 113: 103144
Czerniawski T, Leite F. (2020) Automated digital modeling of existing buildings: A review of visual object recognition methods Automation in Construction. 113: 103131
Czerniawski T, Leite F. (2020) Automated segmentation of RGB-D images into a comprehensive set of building components using deep learning Advanced Engineering Informatics. 45: 101131
Guerra BC, Bakchan A, Leite F, et al. (2019) BIM-based automated construction waste estimation algorithms: The case of concrete and drywall waste streams. Waste Management (New York, N.Y.). 87: 825-832
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