Innovative Research Award
Mohamed Abdelsalam — The Look Company (TLC), Egypt
Mohamed Abdelsalam is a BIM Coordinator and Developer affiliated with The Look Company (TLC) in Doha, Qatar, and based in Egypt. His work integrates building information modeling, automation, business intelligence, and artificial intelligence for architecture, engineering, and construction practice, supported by an MSc from Cairo University and peer-reviewed publications indexed in Scopus.[1][2]
Abstract
This article documents the research profile of Mohamed Abdelsalam in relation to the Innovative Research Award at the Popular Engineer Awards. His scholarship addresses automated code compliance checking, BIM-to-business-intelligence pipelines, and AI-driven cost estimation, with four indexed documents, fifteen Google Scholar citations, and an h-index of two. The record indicates applied engineering research aligned with the award’s emphasis on practical innovation.[2]
Keywords
- Building Information Modeling (BIM)
- Automated code compliance checking
- Business Intelligence in construction
- Artificial intelligence and large language models
- Construction automation and digital workflows
Introduction
The construction sector increasingly relies on digital information systems to improve coordination, compliance, and cost control. Mohamed Abdelsalam’s research examines how BIM data can be connected to business intelligence and artificial intelligence systems to support decision-making across design and delivery stages. His professional roles in the United Kingdom, United States, and Qatar provide applied context for this scholarly work, which has been published in international journals and conference proceedings.[3]
Research Profile
The researcher holds an MSc in Construction Project Management from Cairo University, with a thesis on automated code compliance checking using BIM and business intelligence. His subject area is Engineering and Technology. Google Scholar records four documents, fifteen citations, and an h-index of two, while Scopus records one document and one citation under Author ID 60284971900[1][2]. His ORCID identifier is 0009-0007-8620-6729.[3]
Research Contributions
Contributions include a framework for automated code compliance checking that applies the Egyptian Unified Building Law through BIM and business intelligence integration. Further work develops BIM-to-BI data pipelines for 4D and 5D project control, and an AI-driven approach to construction cost estimation that links BIM with large language models. A conference study additionally examines smartphone LiDAR workflows for on-site inspection of reinforced bars.[5][6][7]
Publications
Peer-reviewed outputs include AI-driven cost estimation integrating BIM with large language models in Buildings, BIM and business intelligence code compliance in the International Journal of Construction Management, BIM-to-BI 4D/5D control in the Journal of Architectural Engineering, and LiDAR inspection research in Construction Research Congress 2026.[5][6][7]
Research Impact
Citation metrics indicate early-stage but consistent scholarly engagement, with fifteen citations on Google Scholar and one indexed citation on Scopus. The applied orientation of the work, spanning compliance automation, cost estimation, and project control, supports its relevance to industry practitioners as well as academic readers. These indicators are modest in absolute terms and should be interpreted within the researcher’s early-career context.[1][2][4]
Award Suitability
The Innovative Research Award category at the Popular Engineer Awards recognises research with demonstrable practical value. The candidate’s combination of peer-reviewed publication, indexed Scopus and ORCID records, and direct application of research to construction automation supports a reasonable case for consideration. The assessment rests on documented outputs rather than inferred distinctions.[1][2][3]
Conclusion
Mohamed Abdelsalam’s research record reflects a focused programme of applied engineering scholarship in BIM automation, business intelligence, and artificial intelligence for construction. The available metrics and publications provide a verifiable basis for evaluating suitability for the Innovative Research Award, while acknowledging the early stage of the citation profile.[1][2][4]
External Links
References
- Google Scholar. (n.d.). Citations profile: Mohamed Abdelsalam, user 3rxXFooAAAAJ. Google Scholar.
https://scholar.google.com/citations?user=3rxXFooAAAAJ&hl=en&oi=sra
- Elsevier. (n.d.). Scopus author details: Mohamed Abdelsalam, Author ID 60284971900. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60284971900
- ORCID. (n.d.). ORCID record: Mohamed Abdelsalam, 0009-0007-8620-6729. ORCID.
https://orcid.org/0009-0007-8620-6729
- Cairo University. (2024). MSc thesis: Automated code compliance checking using BIM and business intelligence. Cairo University, Giza, Egypt.
- Abdelsalam, M., Ashmawi, A., & Nguyen, P. H. D. (2026). AI-driven automation of construction cost estimation: Integrating BIM with large language models. Buildings, 16(3), 485.
https://doi.org/10.3390/buildings16030485
- Marzouk, M., & Abdelsalam, M. (2026). Automated code compliance checking using BIM and business intelligence: Egyptian Unified Building Law application. International Journal of Construction Management, 26(12), 2646–2677.
https://doi.org/10.1080/15623599.2025.2604827
- Ashmawi, A., Nguyen, P. H. D., & Abdelsalam, M. (2026). Automating 4D/5D project control via a BIM-to-BI data pipeline: Framework for construction data workflows. Journal of Architectural Engineering, 32(4), 04026030.
https://doi.org/10.1061/JAEIED.AEENG-2333