University of Reading cookie policy

We use cookies on reading.ac.uk to improve your experience, monitor site performance and tailor content to you

Read our cookie policy to find out how to manage your cookie settings

Dr Upeksha Madanayake

Upeksha Madakanaye profile picture

Programme Director for Undergraduate Construction and Surveying Courses

Office

Room 123

Building location

Chancellor's Building

Areas of interest

  • AI and data analytics for costing
  • AI and data analytics for contracts
  • Competitive advantage in construction industry/ organisations
  • Exploitation of Building Information Modelling, Big Data Analytics and Internet of Things for the competitive advantage of construction
  • Construction organisational studies
  • HE teaching and learning studies

Postgraduate supervision

  • Student Name: Hossein Abdollahzadeh (PhD) 2024
  • Project Title: Exploitation of Artificial Intelligence In The Improvement Of Cost Prediction: A Quantitative Study Of Early Cost Prediction In Construction
  • Student Name: Stefanie Xu (PhD) 2024
  • Project Title: Using AI for Enhanced Dispute Resolution in the Construction Industry
  • Mustafa Ozan Serez (PhD) 2024
  • Project Title: Exploitation of Artificial Intelligence and Machine Learning for Quantity Surveying Practice: Using AI as an Opportunity to Improve Early-Stage Cost Certainty for Oil & Gas Projects in Middle East
  • Ian J. Subramanien (PhD) 2024
  • Project Title: Exploring the implementation capacity of Building Information Modelling (BIM) within the construction sector of Small Island Developing States (SIDS): A case study of Mauritius
  • Jack Woodlock (2023) The impact of financial crisis to construction industry in UK: A case study of 2007-2008 financial crisis

Teaching

Convenorship

  • CE2QTC- Introduction to Quantification and Computerised Taking Off
  • CE3QBC-Quantification and Costing: Buildings and Civil Works
  • CEM400- Construction Economics and Cost Management
  • CE3CPQ-Project QS

Teaching

  • CE2QTC- Introduction to Quantification and Computerised Taking Off
  • CE3QBC-Quantification and Costing: Buildings and Civil Works
  • CEM400- Construction Economics and Cost Management
  • CE3CPQ-Project QS

Research centres and groups

https://research.reading.ac.uk/organisation-people-technology-research/

Research projects

  • 'Towards a Circular Economy: Exploring Nanotechnology, Plastics, and Additive Manufacturing for Development of Sustainable Concrete', (2024), funded by UKIERI, British Council- Education. Serve as the Principal Investigator (PI)
  • Exploitation of Artificial Intelligence and Machine Learning for Quantity Surveying Practice: Using AI as an opportunity to improve Cost Certainty
  • ‘Developing Industry 4.0 Roadmap for the Construction SMEs in the UK and India’ (2024) by The Royal Society, Serve as the Co-I
  • Substitute or complement: the interplay between contractual and relational governance under different cultural context (2022), funded by Centre For The Integrated Delivery Of The Built Environment (IDOBE) London South Bank University. Served as Co-I
  • Systematic Literature Review (SLR) of Industrial Digital Technologies (IDTs) in the Manufacturing Setting (2022), funded by Revolutionise your research career internal funding scheme by London South Bank University Doctoral Research Office, Served as the Principle Investigator (PI)
  • INTERACT Research Grant: Systematic Reviews on the application and potential benefits of industrial digital technologies (IDTs) in the manufacturing setting. (Co-I), 2022
  • CHOBE funded Special Interest Group project for Special Interest Groups (SIGs), CHOBE Executive. Project Title: INVESTIGATING THE PERCEPTIONS OF APPRENTICES ON WORK BASED LEARNING (WBL) MODE (PI),2022

Background

Dr. Upeksha's research centres on harnessing digitalisation tools such as Building Information Modelling (BIM), Big Data Analytics, and Internet of Things (IoT) to gain a competitive edge in the construction industry. She also delves into organisational studies within the construction sector, particularly focusing on cultural and structural aspects. Additionally, her research explores the application of Artificial Intelligence (AI) in various quantity surveying domains. Dr. Upeksha's educational research encompasses investigations into the efficacy of work-based learning models and the health and well-being of the higher education sector. In her teaching, she specialises in Quantity Surveying topics, including Quantification, Costing, projects and Cost Engineering.

Academic qualifications

- Higher Education, PGCert and FHEA 2022 (University of Greenwich)

- PhD in Construction and Engineering 2021 (London South Bank University, Built Environment)

- MSc in Construction Project Management 2013 (Liverpool John Moores University)

- BSc (Hons) in Quantity Surveying and Commercial Management 2012 (Liverpool John Moores University)

Professional bodies/affiliations

Fellow of Higher Education Academy, UK, 2022

MRICS (in view)

Websites/blogs

https://orcid.org/0000-0002-9122-1882

linkedin.com/in/dr-upeksha-madanayake-29478641

Publications

Loading your publications ...