Author
Kareem Mostafa
Other affiliations: University of Texas at Austin
Bio: Kareem Mostafa is an academic researcher from University of Waterloo. The author has contributed to research in topics: Project management & Modular design. The author has an hindex of 4, co-authored 9 publications receiving 39 citations. Previous affiliations of Kareem Mostafa include University of Texas at Austin.
Papers
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TL;DR: The state-of-the-art in Image-based analysis techniques and their applications in construction is explored, including integrating object detection with quantification and sizing techniques to develop more comprehensive applications.
50 citations
TL;DR: A vague fuzzy matter-element model for the risk assessment by combining vague set and Matter-element theory is proposed, which was verified by a case study and its practicability and effectiveness were verified.
32 citations
TL;DR: AbstractWhereas extensive literature exists on repetitive scheduling to help projects benefit from repetition and resource continuity, its underlying formulations suffer from serious challenges and need to be improved.
Abstract: Whereas extensive literature exists on repetitive scheduling to help projects benefit from repetition and resource continuity, its underlying formulations suffer from serious challenges tha...
13 citations
29 Mar 2018
9 citations
TL;DR: Novel procedures to overcome existing scheduling challenges are introduced and the proposed techniques reduce the duration of complex repetitive projects using enhanced schedule computation and geometry rather than using expensive acceleration/optimization methods.
6 citations
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TL;DR: A novel FMEA method using extended matter-element model and analytic hierarchy process (AHP) is developed to overcome the limitations of the typical RPN.
51 citations
TL;DR: In this paper, the authors investigated the state of adoption of circular economy principles in the construction sector, and the adoption opportunities were investigated in a global scan of 81 companies implementing circular economy based business models.
35 citations
TL;DR: In this paper , a framework for synthetically generating large and accurately annotated images is presented, where a state-of-the-art deep learning architecture based on high representation network is adapted and modified for excavator pose estimation.
23 citations
TL;DR: In this article , a real-time hybrid vision-and IoT-based system for safety engineers to monitor the use of safety hooks at risky elevations in realtime is proposed, which can help safety managers by efficiently automating multiple workers' safety monitoring in real time at complex construction sites where performing a hazardous activity at a risk height may lead to FFH fatality.
22 citations
TL;DR: This in-depth review of state-of-the-art deep-learning applications on visual data analytics in the context of construction project management identifies six major fields and fifty-two subfields of construction management where deep- learning-based visual data Analytics methods have been applied and proposes a generalized workflow for applying these methods.
21 citations