Mr Mohammad Alhusban

Research project: Assessing the Capabilities of Digital Twin Technology for Optimizing Construction Quality Management in the UK.

Abstract

The construction industry is experiencing rapid technological advancements, leading to new challenges in maintaining construction quality. As projects grow in size and complexity, maintaining high standards becomes increasingly difficult. Recent failures, such as Grenfell and the Edinburgh Schools, have raised concerns over construction quality in the UK. This research explores how Digital twins technology can improve Construction Quality Management (CQM) by addressing issues in supervision, signoff, workmanship, and inefficiencies. It focuses on the potential of technologies like  (BIM), IOT, computer vision tools, and Augmented Reality to revolutionize inspection, quality control, and data management. By collecting both quantitative and qualitative data, this project aims to uncover how digital twins can enhance CQM outcomes and procedures in the UK.

  • Research degree: PhD
  • Title of project: Assessing the Capabilities of Digital Twin Technology for Optimizing Construction Quality Management in the UK.
  • Other research supervisor: Dr Hsein Kew CEng MICE

Biography

I am a PhD student at Kingston University with an ambition to contribute to the existing knowledge of my field and to make a meaningful impact on society through research. I achieved my MSc degree with Distinction in (2021) from the same University in (Management in Construction), my research was based on the implementation of Smart Contracts and Blockchain in the Construction Industry. Before that, I earned BSc degree in Civil Engineering (2018) from Al Al-Bayt University in Jordan.

In my early career, I worked as a Site engineer (2018-2019) at the Jordanian Ministry of Working and Housing in the building department. I also worked as a part of the Quality team for several other Construction firms in Jordan including Al-Mostaqbal Consultants, which is one of the leading engineering and environmental consulting companies in Jordan.

I intend to pursue a career in academia, hoping to use my research abilities to support academic excellence and serve as an inspiration and mentor to the following generation of researchers.

Areas of research interest

  • Construction Quality Management
  • BIM
  • Digital twins
  • Blockchain
  • Smart contracts
  • Computer Vision
  • Artificial intelligence
  • Quality Control
  • Deep Learning
  • Machine Learning

Qualifications

  • Bsc in Civil Engineering, Al Al-Bayt University, Jordan
  • MSc in Management in Construction, Kingston University