Muhammad Bilal
- Computer vision and IoT research landscape for health and safety management on construction sites. In: Journal of Building Engineering, v. 76 (October 2023). (2023):
- Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. In: Journal of Building Engineering, v. 44 (December 2021). (2021):
- Competency-based measures for designing out construction waste: task and contextual attributes. In: Engineering, Construction and Architectural Management, v. 23, n. 4 (July 2016). (2016):
- Cloud computing in construction industry: Use cases, benefits and challenges. In: Automation in Construction, v. 122 (February 2021). (2021):
- Big data for Design Options Repository: Towards a DFMA approach for offsite construction. In: Automation in Construction, v. 120 (December 2020). (2020):
- Deep learning in the construction industry: A review of present status and future innovations. In: Journal of Building Engineering, v. 32 (November 2020). (2020):
- Risk mitigation in PFI/PPP project finance. A framework model for financiers' bankability criteria. In: Built Environment Project and Asset Management, v. 10, n. 1 (November 2019). (2019):
- Big Data Analytics System for Costing Power Transmission Projects. In: Journal of Construction Engineering and Management, v. 146, n. 1 (January 2020). (2020):
- Critical Success Factors for Ensuring Bankable Completion Risk in PFI/PPP Megaprojects. In: Journal of Management in Engineering (ASCE), v. 36, n. 1 (January 2020). (2020):
- Robotics and automated systems in construction: Understanding industry-specific challenges for adoption. In: Journal of Building Engineering, v. 26 (November 2019). (2019):
- Insolvency of Small Civil Engineering Firms: Critical Strategic Factors. In: Journal of Professional Issues in Engineering Education and Practice, v. 143, n. 3 (July 2017). (2017):
- Investigating profitability performance of construction projects using big data: A project analytics approach. In: Journal of Building Engineering, v. 26 (November 2019). (2019):
- Design optimisation using convex programming: Towards waste-efficient building designs. In: Journal of Building Engineering, v. 23 (May 2019). (2019):
- Methodological approach of construction business failure prediction studies: a review. In: Construction Management and Economics, v. 34, n. 11 (July 2015). (2015):
- Big data architecture for construction waste analytics (CWA): A conceptual framework. In: Journal of Building Engineering, v. 6 (June 2016). (2016):
- Reducing waste to landfill: A need for cultural change in the UK construction industry. In: Journal of Building Engineering, v. 5 (March 2016). (2016):