Dr Ryan Huang

Research Associate, School of Mechanical, Medical & Process Engineering

Doctor of Philosophy (University of New South Wales)

Dr Ryan (Qiuxiang) Huang is working on multi-disciplinary research that crosses engineering and biology. He is interested in developing multi-scale coupling techniques for scientific and high-performance computing, including fluid-structure interactions with applications in blood flow, insect flight, and low-Reynolds turbulence. He worked on developing fluid-structure interaction solvers for simulating collapsible blood vessels during his PhD at the Flow Science Lab at the University of New South Wales Canberra (UNSW Canberra). From 2021 to 2023, he continued his research career at UNSW Canberra as a Research Associate, working on understanding insect flight based on computational techniques. Currently, he is working as a Research Fellow at the Centre for Biomedical Technologies of the Queensland University of Technology.

Employment

Research Fellow (Mar 2023 - Current) - School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Australia

Research Associate (Jan 2021 - Mar 2023) - School of Engineering and Information Technology, University of New South Wales Canberra, Australia

Education

2017 - 2020: PhD - School of Engineering and Information Technology, University of New South Wales Canberra, Australia

2013 - 2016: Master of Engineering - College of Aerospace Engineering, Nanjing University of Aeronautics & Astronautics

2009 - 2013: Bachelor of Engineering - College of Aerospace Engineering, Nanjing University of Aeronautics & Astronautics

My Expertise

My Grants

2022--2023: Data-driven approaches for unsteady flow control over dynamically stalling wings
Chief Investigators: Ravi, S., Medina, A., Tian, F.B., Huang, Q., Young, J. & Sarkar, S.
Funding Source: Asian Office of Aerospace Research and Development (Grant No. FA2386-22-1-4036) (USD$130,740)

2022--2024: Data-driven approaches for fluid-structure interactions in biological flows
Chief Investigators: Huang, Q. & Ravi, S.
Funding Source: NCI UNSW Allocation Scheme (2-year supercomputer time: 1600 kSu, AUD$17,258)

2022--2023: Marker-free position and pose tracking system
Chief Investigators: Ravi, S., Esquivel, F., Garratt, M., Huang, Q., Kasmarik, K. E., Tian, F.B.  &  Young, J. 
Funding Source: UNSW Research Infrastructure Scheme (Grant No. RG214399) (AUD$32,330)

My Awards

Research Interests

Multi-scale coupling techniques for scientific and high-performance computing in the field of Biomedical Engineering/Biomechanics, including fluid-structure interaction (FSI) with application to hemodynamics, insect flight, and low-Reynolds number turbulence.

Fields  of Research

My Research Supervision