DrKeyao (Eden) Li
Adjunct Fellow
Future of Work Institute
BIOGRAPHY AND RESEARCH IMPACT
Eden is a research fellow at the Future of Work Institute (FOWI) at Curtin University. Her research aims to support thriving organisations and employees to improve safety, health, well-being, capability and performance in the digital workplace.
Eden is also a research fellow at ARC Industrial Training Centre for Transforming Maintenance through Data Science (CTMTDS). The Centre aims to transform maintenance in mining industry and its workforce by developing new, digitally-driven maintenance management system. It is a partnership between Curtin University, the University of Western Australia, CSIRO and mining industry partners Alcoa, BHP and Roy Hill, as well as CORE Innovation Hub and the Minerals Research Institute of Western Australia.
Eden’s role is vital in translating advances in data science arising from the research projects into workplace improvement for our partner organisations in the mining industry. She works closely with data scientists, engineers, maintenance workers, and managers from the partner organisations to implement data science interventions. Her work addresses implementation of data science innovations that are important for the future mining industry but also applicable to other industries.
Eden is also a research fellow at ARC Industrial Training Centre for Transforming Maintenance through Data Science (CTMTDS). The Centre aims to transform maintenance in mining industry and its workforce by developing new, digitally-driven maintenance management system. It is a partnership between Curtin University, the University of Western Australia, CSIRO and mining industry partners Alcoa, BHP and Roy Hill, as well as CORE Innovation Hub and the Minerals Research Institute of Western Australia.
Eden’s role is vital in translating advances in data science arising from the research projects into workplace improvement for our partner organisations in the mining industry. She works closely with data scientists, engineers, maintenance workers, and managers from the partner organisations to implement data science interventions. Her work addresses implementation of data science innovations that are important for the future mining industry but also applicable to other industries.
ACADEMIC POSITIONS
- Research AssociateCity University of Hong Kong, Hong Kong1 Sep 2019 - 30 Nov 2019
DEGREES
- PhDCity University of Hong Kong, Kowloon, Hong Kong1 Sep 2011 - 31 Aug 2019
CERTIFICATIONS
- Best in track awards for papersWorld Building Congress 2022
- Sponsored best in category awards for papersWorld Building Congress 2022
- The Outstanding Academic Performance Award for Research Degree StudentsCity University of Hong Kong1 Jul 2018 - 1 Jul 2019
- Research Tuition ScholarshipCity University of Hong Kong1 Aug 2018 - 31 Jul 2019
ROLE
- Staff
DEPARTMENT
- Future of Work Institute