معرفی
Shuai Huang is an Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University, affiliated with the Neuroimaging Center. His research focuses on machine learning and AI applications in healthcare, particularly leveraging MRI and computational imaging to address neurodegenerative disorders like Alzheimer's and autism spectrum disorder. The Computational Neuroscience and Artificial Intelligence (CNAI) Lab, led by Huang, develops advanced algorithms for neuroimaging data analysis.
Research Interests: Machine learning, AI for healthcare, MRI, computational imaging, numerical optimization, and medical image reconstruction. The CNAI Lab actively seeks motivated students (PhD/MS) to join projects in these areas.
Publications reflect expertise in Bayesian methods, parameter estimation, and medical imaging techniques. Current work emphasizes improving quantitative susceptibility mapping (QSM) reliability and algorithmic solutions for neuroimaging challenges. No scientific awards listed, though ongoing contributions to medical AI are notable.
Advising: Open to recruiting students interested in computational neuroscience and AI applications. Grants and lab activities focus on interdisciplinary collaborations between engineering and neuroscience. No specific grant details provided in text.
