Construction Informatics and Digital Enterprise Laboratory (CIDEL)

At the Construction Informatics and Digital Enterprise Lab (CIDEL), our applied research focuses on the investigation, design, development, deployment and use of digital technologies and solutions [e.g., digital twin, big data analytics, IoT and Machine Learning, etc.] to address various issues affecting productivity, sustainability and / or efficiency in the Architecture Engineering and Construction (AEC) industry and the wider built environment.

We have developed solutions that automated time-consuming and repetitive tasks, enhanced sustainability, diagnosed non-conformances, supported air quality management, and improved cost-effectiveness of construction projects.

With the application of digital technologies being the overarching research theme, our specific areas of focus include:

  • Building Information Modelling (BIM) and digital twin
  • Sustainable and healthy built environment, covering waste management, building and health, air quality management, etc.
  • Modern Methods of Construction (MMC)
  • Smart Procurement and Risk Management
  • Smart city planning and information management

We also employed digital technologies in addressing some challenges facing other industries, including education and Agriculture.

Introduction to CIDEL at Leeds Beckett University

Overhead vide of CIDEL lab with caption at the bottom

Featured research

  • AI-DOMP – AI-Enabled Design Diagnostics and Optimisation System for Mould Prevention (AI-DOMP) – Ongoing
  • AI-DoWEP – AI-enabled Design Optimization for Waste Efficiency (AI-DoWEP) – Ongoing
  • AI-FireBIM – AI-Enabled Rule Extraction System for BIM-based Fire Performance Diagnostic Platform (AI-FireBIM) – Ongoing
  • EDURIGHT – Preventing Inter-generational Education Crisis: A Root and Branch Machine Learning-Enabled Platform for Diagnosing, Benchmarking and Managing Pupils’ Performance (EDURIGHT) – Ongoing
  • PASS – Pollution Avoidance Support System (PASS) using GIS, Machine Learning and Big Data – Ongoing
  • ADAGE – Automatic DfMA Design Generator (ADAGE): An Internet of Things tool to instill adoption of DfMA by Building Designers – Completed 2021
  • Air-POT – Clustered Blockchain Platform for Air pollution Data Aggregation and Dissemination– A Big Data and Artificial Intelligence Approach to Air Pollution Tracking (Air-PoT) – Completed 2021
  • RePLAST – Waste to wealth: The use of plastic waste to produce cheaper and better interlocking paving blocks – Completed 2021
  • Live-TAP – Live Visualization of Emission - Towards Avoidance of Pollution Hotspot (LiVE-TAP) – Completed 2020

  • Mr Joseph Bogg - An investigation into individuals’ task specific BIM pain points
  • Mr Graham Starkey - Real-time Asset Information Modelling (rtAIM) protocol for Highways
  • Mr David Evans - An Evaluation of the BIM competences in Architectural Technologists to meet the requirements of ISO 19650 in the UK
  • Mrs Charlene Chatelier - Contemporary Risk Management for Megaprojects– An impact on Benefit Realization Management
  • Mr Oluwaseun Akindele - Coupling GIS-BIM in Cognitive Computerized Maintenance Management Framework for building operational maintenance in the UK

Overview of our EDURIGHT Project

EDURIGHT text in the middle with circular graphics above and below

In conversation

Contact us

If you would like to know more about the applied research we do, or if you would like to discuss opportunities to work with us then please contact Dr Saheed Ajayi.