Qiang Yu

Dr. Qiang Yu is a Postdoctoral Research Fellow at the Thompson Institute, University of the Sunshine Coast (UniSC), Australia. His research focuses on neuroimaging applications for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), integrating advanced MRI techniques and machine learning to advance precision medicine. He holds a PhD in Computational and Applied Mathematics from Queensland University of Technology (QUT, 2013) and completed postdoctoral fellowships at the University of Queensland (UQ) and QUT, specializing in anomalous diffusion modeling in MRI.

Education:

• PhD (Computational and Applied Mathematics), Queensland University of Technology (2013)
• MSc (Computational Mathematics), Xiamen University, China (Year not specified)
• BSc (Applied Mathematics), Fujian Agriculture and Forestry University, China (Year not specified)

Research Interests: Dr. Yu’s work bridges mathematical modeling and biomedical imaging, particularly in developing fractional calculus-based models for MRI tissue analysis. His key areas include:

• Anomalous diffusion modeling in biological tissues
• White matter microstructure characterization via diffusion MRI
• Fractional-order Bloch equations for MRI signal analysis
• ME/CFS neuroimaging patterns and clinical subtyping

Publications Trends: His recent articles emphasize MRI-based diagnostic advancements, including diffusion metrics for ME/CFS subtypes, fractional models for tissue relaxation, and algorithmic innovations in medical image processing. These contributions highlight interdisciplinary synergy between computational mathematics and clinical neurology.

Awards & Memberships:

• Executive Dean’s Commendation Award, QUT (2013)
• Outstanding Doctoral Thesis Award, QUT (2013)
• Editorial Board Member, Applied and Computational Mathematics (2022–2024)

Grants & Projects:

• University of Queensland Postdoctoral Fellowship ($287,945, 2014–2016): Modeled anomalous diffusion in MRI for tissue microstructure characterization
• Collaborations on distributed-order fractional models and IVIM MRI methodologies

Labs & Teams: Affiliated with the Thompson Institute’s ME/CFS neuroimaging program and the Centre for Advanced Imaging (UQ). His work intersects with clinical trials and advanced MRI hardware development for high-resolution brain imaging.