Dr Qiang Yu is a Postdoctoral Research Fellow at UniSC's Thompson Institute. His research is focussed on the myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) neuroimaging research program. This program integrates advanced multimodal MRI techniques and machine learning methodologies to understand the neurological disease processes of ME/CFS and predict individual-level symptom manifestation, aligning with the objectives of precision medicine.
Qiang completed his DPhil (PhD) degree in Computational and Applied Mathematics from Queensland University of Technology (QUT) in 2013. His PhD study was focusing on numerical simulation of anomalous diffusion with application to medical imaging.
After Qiang finished his PhD, he was awarded a three-year University of Queensland (UQ) Postdoctoral Research Fellowship to work on modelling and analysis of anomalous diffusion in MRI. This fellowship helps Qiang developing a new research area in developing fractional mathematical models for MRI-based tissue microstructure imaging in the Centre for Advanced Imaging (CAI), UQ, from 2014 to 2018.
From 2019 to 2021, Qiang was a Research Associate for the School of Mathematical Sciences at QUT to work on developing the distributed-order fractional order models and with application to MRI images, such as describing anomalous relaxation processes in human brain MRI data.
From 2021 to 2023, Qiang was a Postdoctoral Research Fellow at CAI, UQ, to work on the development and application of data analysis methods for MRI data.
- Editorial board member of Applied and Computational Mathematics (ACM) from June 6, 2022 to June 6, 2024
Awards
- Executive Dean’s Commendation Award from Queensland University of Technology, 2013
- Outstanding Doctoral Thesis Award from Queensland University of Technology, 2013
Conference presentations
- J. Wang, T. Barrick, M. Hall, M. Karaman, R. Magin, D. Reiter, Q. Yang, Q. Yu, F. Nasrallah, W.Y. Koh and V. Vegh. (2022). Mathematically constrained intravoxel incoherent motion (IVIM), ISMRM 31st Annual Meeting & Exhibition (ISMRM2022), London, England, UK, 7-12 May. Virtual Presentation
- V. Vegh, T. Barrick, Q. Yang, Q. Yu and M. Cloos. (2022). Investigating the dot-compartment using diffusion MRI line scanning, ISMRM 31st Annual Meeting & Exhibition (ISMRM2022), London, England, UK, 7-12 May. Virtual Presentation
- Q. Yu, F. Liu, I. Turner, K. Burrage. (2012). Numerical methods for three types of the space and time fractional Bloch-Torrey equation with a nonlinear source term in 2D, The 4th International Conference on Computational Methods (ICCM2012), Crowne Plaza, Gold Coast, Australia, 25-28 November. Oral Presentation
- Q. Yu, F. Liu, I. Turner, K. Burrage, V. Vegh. (2012). Riesz fractional differential mask for image texture enhancement, The 16th Biennial Computational Techniques and Applications Conference (CTAC2012), Queensland University of Technology, Brisbane, Australia, 23-26 September. Oral Presentation
- Q. Yu, F. Liu, I. Turner, K. Burrage. (2012). Alternating direction implicit numerical method for the space and time fractional Bloch-Torrey equation in 3-D, The 5th IFAC Symposium On Fractional Differentiation and Its Applications (FDA2012), Hohai University, Nanjing, China, 14-17 May. Oral Presentation
- Q. Yu, F. Liu, I. Turner and K. Burrage. (2011). Analytical and numerical solutions of the space and time fractional Bloch-Torrey equation, The 7th ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA2011), Washington, USA, 28-31 August, [DETC2011-47613]. Oral Presentation
Invited presentations
- Q. Yu. Axon radius and volume fraction measurement in the corpus callosum using anomalous diffusion in MRI. The first Siemens QLD research User’s meeting, UQ Centre for Clinical Research (UQCCR), Brisbane, Queensland, 8 May 2015.
Modelling and analysis of anomalous diffusion in magnetic resonance imaging
University of Queensland Postdoctoral Research Fellowship, funding amount $287,945.00, 2014-2016
The project focuses on modelling and analysis of anomalous diffusion in magnetic resonance imaging to characterise tissue microstructure.
Research areas
- Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
- Neuroimaging
- Magnetic resonance imaging
- Yu, Q., Reutens, D. and Vegh, V., 2018. Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure?. Neuroimage, 175, pp.122-137.
- Yu, Q., Reutens, D., O'Brien, K. and Vegh, V., 2017. Tissue microstructure features derived from anomalous diffusion measurements in magnetic resonance imaging. Human brain mapping, 38(2), pp.1068-1081.
- Yu, Q., Turner, I., Liu, F. and Vegh, V., 2022. The application of the distributed-order time fractional Bloch model to magnetic resonance imaging. Applied Mathematics and Computation, 427, p.127188.
- Chen, Y., Liu, F., Yu, Q. and Li, T., 2021. Review of fractional epidemic models. Applied mathematical modelling, 97, pp.281-307.
- Qin, S., Liu, F., Turner, I.W., Yu, Q., Yang, Q. and Vegh, V., 2017. Characterization of anomalous relaxation using the time‐fractional Bloch equation and multiple echo T2*‐weighted magnetic resonance imaging at 7 T. Magnetic resonance in medicine, 77(4), pp.1485-1494.