معرفی
Dr. Weiying Dai is an Associate Professor in the Department of Computer Science at Binghamton University, State University of New York. She holds a B.S. in Mathematics from Peking University and a Ph.D. in Computer Science from the University of Pittsburgh. Prior to joining Binghamton in 2015, she served as an instructor at Beth Israel Deaconess Medical Center and Harvard Medical School.
Her research focuses on neuroimaging, biomedical image processing, and MRI technique development. Notably, she co-invented an MRI method for quantifying blood flow, now implemented on GE scanners. Her work spans brain mapping, diffusion imaging, vessel-selective imaging, and clinical applications in disorders like Alzheimer’s and stroke.
Dr. Dai’s honors include the Junior Fellow Award from the International Society for Magnetic Resonance in Medicine (2011) and the Summa Cum Laude Merit Award for Best Paper (2012). She has also received the Lawrie B. Morrison Research Award twice for contributions to radiological sciences.
Her academic contributions include leadership roles, such as Conference Chair for the ISMRM 2015 Annual Meeting. She teaches courses like CS 436/580L (Introduction to Machine Learning) and has contributed to professional activities including journal reviewing and conference organizing.
Her research advances clinical MRI applications, emphasizing quantitative perfusion analysis and neurovascular mechanisms. Current studies explore cerebral blood flow in Alzheimer’s, diabetes, and meditation’s effects on brain activity.
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