Ruwini EDIRISINGHE

Dr. Ruwini EDIRISINGHE

Associate Professor

Details

Open to

  • Masters Research or PhD student supervision

About

Ruwini Edirisinghe is a multidisciplinary academic working at the intersection of digital innovation, the built environment and healthcare. She undertakes fundamental and applied research to develop innovative, technology-enabled solutions to complex real-world challenges. She currently leads RMIT’s Digital Twin Network, bringing together multidisciplinary expertise to advance Digital Twin research, foster collaboration and accelerate industry impact.

 

Her research spans the built environment and healthcare sectors, with a particular focus on Industry 5.0 and digital health. Her work explores the development and application of Digital Twins, artificial intelligence and machine learning, smart wearables, the Internet of Things (IoT), Building Information Modelling (BIM), AR/VR/XR, blockchain, data science and analytical modelling. Through this interdisciplinary approach, she investigates how emerging digital technologies can enable more intelligent, productive, human-centric and resilient built and healthcare systems.

 

Ruwini has demonstrated strong research leadership through competitive research funding, prestigious fellowships and multidisciplinary collaborations. To date, she has secured approximately $4.9 million in research funding and has led and contributed to collaborations across academia, industry, government and the community. A key focus of her work is translating technological innovation into practical solutions and measurable real-world impact.

 

She is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a longstanding advocate for diversity and inclusion in engineering and technology. Since 2012, she has contributed to advancing gender diversity through IEEE and, since 2014, through RMIT’s Women Researchers’ Network. Her leadership has progressively extended beyond gender diversity to champion broader inclusion across the education and career pipeline, creating opportunities for diverse researchers, professionals and future leaders.

 

Awards and Distinctions:

  • Research Excellence Award- Mid-Career (2025), College of Design and Social Context, RMIT University
  • Outstanding WIE Leadership Award (2025) – IEEE Australia Council
  • Best Research Paper Award (2025) – World Building Congress 2025, USA
  • Best Scientific Paper Award (2025) at the 16th International Conference on Sustainable Built Environment 2025 & Next-Gen Innovation and Advancement
  • Leadership Award - Outstanding Organisational Unit Award (2024), IEEE, The Institute of Electrical and Electronics Engineers
  • Outstanding Volunteer Award (2023), IEEE, The Institute of Electrical and Electronics Engineers
  • Vistas Award (2023), CIB, The International Council for Research and Innovation in Building and Construction
  • RMIT Vice Chancellor’s Research Award: Malcolm Moore Industry Award (2015),
  • RMIT Vice-Chancellor's Research Fellowship Award (2015-2021)
  • RMIT University Early Career Researcher International Travel Award (2014)
  • Endeavour Post-doctoral Research Fellowship Award (2011), Australian Department of Education, Employment and Workplace Relations
  • Research Commercialisation Training Award (2008), Commonwealth Government, Australia

Research fields

  • 330202 Building construction management and project planning
  • 330201 Automation and technology in building and construction
  • 330204 Building information modelling and management
  • 420302 Digital health
  • 4203 Health services and systems
  • 420308 Health informatics and information systems

Supervisor projects

  • Optimizing the use of waste in the RHA based mortar using Machine learning and AI
  • 4 Feb 2025
  • Optimized Decision-making Platform for Mapping Waste Material Flow
  • 29 Jan 2025
  • Extended Reality Technologies for Enhanced University Pedagogy
  • 29 Jan 2025
  • Predictive modeling of building degradation as influenced by contributing factors
  • 29 Feb 2024
  • Physiological data-based emotion detection to measure the effectiveness of safety training in the construction industry: Heart Rate Variability(HRV) and electroencephalogram (EEG)
  • 19 Feb 2024
  • Machine Learning Enabled Digital Twin for Construction Site Safety Management: Noise and Vibration
  • 5 Feb 2024
  • A Methodology for Optimised Energy Retrofitting of Higher Educational Buildings
  • 30 Sep 2023
  • Development of a Circular Economy Maturity Model for the Construction Industry.
  • 14 Jun 2023

Teaching interests

 

Programs:

  • BH114 -Bachelor of Construction Management (Honours)

https://www.rmit.edu.au/about/schools-colleges/property-construction-and-project-management/our-teaching-areas/construction-management

 

  • DR212 -PhD (Built Environment)

https://www.rmit.edu.au/study-with-us/design/urban-design)

 

Course Coordinator:

  • Research methods for the Built Environment (BUIL 1305): 2022 to date

 

Learning and Teaching Innovation Grant Awards:

  • Adobe Creative Curriculum Grant Lead CI (2024), RMIT University

        Interactive Pedagogy for Built Environments - Teaching Resources are here

 

Teaching:

  • Research Practice 1 (BUIL1306) and Research Practice 2 (BUIL1307): 2021 to date
  • Construction Planning and Design 2 (BUIL1257 offshore): 2015-2020
  • Construction Specialisation (BUIL 1264 Guest Lecturer): 2015-2016

Research interests

  • Digital Health and mHealth
  • Virtual Human Twins
  • Construction innovation
  • Digital Twins of buildings and urban environment
  • Life cycle carbon assessment through digital innovation
  • Optimizing asset management through predictive modelling
  • Waste optimization through AI
  • Health and safety improvement through IoT-based smart wearables
  • BIM and LLM for construction productivity
  • Policy impact on innovation adoption

 

Specific keywords are: 

Digital Twins, GeoAI, BIM, facility management, predictive modelling, sensor networks, wearables, IoT, smart technologies for construction, health and safety, technology adoption, decarbonisation, AR/VR/XR, blockchain, data science and analytical modelling, DT, ML, AI, LLM, LCA

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