Dr Nana Akua Nkansa Adu-Amankwa joined the School of Computing, Engineering and Digital Technologies at Teesside University as a Lecturer in Quantity Surveying in 2025, having previously served as a part-time Lecturer within the same School from 2022. She completed her PhD in Construction at Teesside University in 2025, where her research developed a stakeholder-informed framework for implementing blockchain-enabled digital twin technologies in post-construction management.

Her research centres on digital transformation in the built environment, integrating blockchain technologies, digital twins, and lifecycle thinking to enhance data integrity, transparency, and sustainability across infrastructure systems. She has published in leading international journals, including Automation in Construction and Engineering, Construction and Architectural Management, and has presented her work at major international conferences.

Dr Adu-Amankwa has contributed to interdisciplinary and industry-engaged research initiatives, including the ReMake Glasgow project at the University of Strathclyde, where she developed a tailored Life Cycle Assessment (LCA) model to evaluate remanufacturing strategies and environmental performance. She has also contributed to applied research on LiDAR-based asset modelling and digital trade technology and policy, supporting innovation and knowledge exchange across academic, industry, and policy contexts.

She holds an MSc in Business and Management from the University of Stirling and a BSc (Hons) in Civil Engineering from Kwame Nkrumah University of Science and Technology, and serves on the Editorial Review Board of Smart and Sustainable Built Environment.

• ReMake Glasgow – University of Strathclyde (2024–2025)
  Development and validation of a tailored Life Cycle Assessment model to assess environmental performance of remanufacturing pathways and support evidence-based sustainability strategies.
• Industrial Digitalisation Technology Center – Knowledge Exchange Associate (2023)
  Application of LiDAR scanning and object detection techniques to generate high-fidelity digital asset models for improved asset condition assessment.
• Digital Trade Technology and Policy – Research Associate (2022)
  Stakeholder-engaged research examining technological and policy barriers to frictionless digital trade adoption in the UK, contributing to a national scoping report.