Miao Li

Miao Li is a Senior Lecturer in Engineering at Charles Sturt University, affiliated with the School of Computing, Mathematics and Engineering. She is a member of the Imaging and Sensing Research Group and the Sustainability in Engineering Research Group (SERG) at the Gulbali Research Institute. Her academic journey includes a PhD in Civil Engineering from Griffith University and earlier degrees in geological and engineering geology from Chinese institutions.

• Doctor of Philosophy (Civil Engineering)
• Master of Science (Geological Engineering)
• Bachelor of Science (Engineering Geology)

Dr Li's research spans computational mechanics, numerical modeling, wastewater treatment, and non-linear structural dynamics, with a strong focus on sustainable engineering solutions. Her work contributes to UN Sustainable Development Goals through innovations in geotechnical systems, energy storage, and low-carbon construction. She has published extensively in top journals, with recent work focusing on adaptive mesh refinement, rock damage modeling, and frost heave in soils.

Her recent publications highlight a trend toward high-fidelity numerical simulations and experimental validation in geotechnical and structural systems, particularly under extreme or cyclic loading conditions. She applies computational fluid dynamics and finite element methods to solve complex engineering problems in energy, infrastructure, and environmental resilience.

• Executive Dean Teaching Award (2024)
• Fellow of Advance HE (2025)

Dr Li is a registered thesis supervisor and actively mentors students through research projects and industry placements. She has secured research recognition through awards and grants, and her work is frequently covered in press and media, reflecting its real-world impact. She participates in major international conferences in ocean, offshore, and structural engineering, and contributes to editorial and academic organizing roles.

She leads research initiatives within the Imaging and Sensing Research Group and SERG, focusing on smart sensing, sustainable materials, and computational modeling for resilient infrastructure.