CV

Education

• Ph.D in Civil and Environmental Engineering, University of New South Wales, 2025 (expected)
• Bachelor of Engineering in Civil Engineering with Architecture (First Class Honours), University of New South Wales, 2022

Scholarships & Awards

• Australian Government Research Training Program International (RTP) Scholarship (supported by the Commonwealth Government, highly competitive) (2022-2026)
• First Prize, the 12th Wuxi Natural Science Outstanding Academic Paper Award (2020–2021)
• Best Presentation Nomination Award, The 2nd Digital Twin Internation Conference (2022)
• Dean’s Honours List, UNSW (2018-2020)

Work Experience

• 12/2021 ~ now: Research Engineer
  • UNSW CTET
• 2021/04 ~ 2021/12: Digital Twin Developer (Student Intern)
  • UNSW CTET

Skills

• Digital Twin Development
  • Machine Learning
  • Internet of Things
• Water and Wastewater Treatment
  • Membrane Bioreactor
  • Membrane Capacitive Deionization
• VR/AR Development

Publications

Predicting Membrane Fouling of Submerged Membrane BioreactorWastewater Treatment Plants Using Machine Learning

Brackish groundwater desalination by constant current membrane capacitive deionization (MCDI): Results of a long-term field trial in Central Australia

Talks

ACS Spring 2025: Predicting membrane fouling of large-scale membrane bioreactor plants using machine learning

March 27, 2025

Talk at Marriott Grand Ballroom, San Diego, San Diego, USA

SIGGRAPH ASIA 2023: Digital Twins of membrane capacitive deionization pilot units for water treatment in remote communities

December 15, 2023

Talk at Darling Harbour Theatre, Sydney International Convention Centre, Sydney, Australia

NextWater’23: Machine learning (ML) incorporated Digital Twins (DTs) to drive the smart operation of water desalination systems​

February 22, 2023

DigiTwin2022: Digital Twins of membrane capacitive deionization prototype units for desalination of brackish water in remote communities

September 26, 2022