Keynote Speakers
Dr. Li Wang
Associate Professor (Tenured), University of North Carolina at Chapel Hill, USA
Bio: Dr. Li Wang is an Associate Professor with tenure at the University of North Carolina at Chapel Hill. His research interests focus on image segmentation, machine learning, and their applications to normal early brain development and disorders. He is the recipient of the NIH Career Development Award, the Distinguished Investigator Award of the Academy for Radiology & Biomedical Imaging Research, and multiple NIH R01 grants. Dr. Wang has authored over 250 peer-reviewed publications, garnering more than 16,000 citations and an h-index of 64. His brain segmentation methods have achieved Top 1 performance in multiple grand challenges. He has developed advanced volume-based analysis tools for structural brain MRIs (iBEAT V2.0), which has successfully processed 60,000+ scans acquired with diverse protocols and scanners. Widely adopted by more than 250 institutions worldwide, iBEAT V2.0 has directly contributed to over 60 publications in leading journals such as Brain, Neuron, Nature Methods, Nature Communications, and PNAS.
Dr. Lifang He
Associate Professor, Lehigh University, USA
Bio:
Dr. Lifang He is an Associate Professor of Computer Science and Engineering at Lehigh University. Her research spans AI for health,
multimodal neuroimaging, graph learning, and foundation models for clinical decision support. She leads several NIH- and NSF-funded projects
on AI-driven biomedical systems and has authored over 200 papers in prestigious journals and conferences. She currently serves as an
Associate Editor for ACM Transactions on Computing for
Healthcare and the International Journal on Machine Learning and Cybernetics, and as Chair of the IEEE Computer Society at Lehigh Valley Section.
Dr. Xiang Li
Assistant Professor, Massachusetts General Hospital and Harvard Medical School, USA
Bio: Dr. Xiang Li is an Assistant Professor of Radiology at Massachusetts General Hospital and
Harvard Medical School. He received his bachelor's degree from Shanghai Jiao Tong University and Ph.D. from the University of Georgia. He trained under
Dr. James Thrall and Dr. Quanzheng Li at MGH/HMS Center for Advanced Medical Computing and Analysis. His research focuses on developing AI solutions for
multimodal healthcare data fusion and clinical informatics systems for smart data management and AI deployment. He is the founding chair of the
International Workshop on Multiscale Multimodal Medical Imaging and has received multiple NIH grants for his work.
Dr. Yu Zhang
Assistant Professor, Stanford University, USA
Bio:
Dr. Yu Zhang is an Assistant Professor at Stanford University. His research operates at the intersection of artificial intelligence, translational neuroscience, and precision medicine.
His work leverages advanced machine learning and multimodal brain imaging (e.g., fMRI, DTI, EEG) to identify neurobiological markers
underlying cognitive deficits, behavioral dysfunctions, and treatment responses in mental health disorders.
He has received multiple NIH (R01, R21) and Alzheimer’s Association grants, and leads the Stanford Precision NeuroIntelligence (SPNI) Lab,
which develops AI-driven methods to discover robust and interpretable biomarkers for personalized diagnosis and therapeutic optimization
in conditions such as Alzheimer’s disease, mood disorders, and neurodevelopmental disorders. Dr. Zhang published multiple papers in Nature BME, Nature Neuroscience etc.
To be udpated