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معرفی
Ying Liang is a Phillip Griffiths Assistant Research Professor of Mathematics at Duke University, affiliated with the Department of Mathematics within Trinity College of Arts & Sciences. She holds a Ph.D. in Mathematics from The Chinese University of Hong Kong (2021) and a BSc from Wuhan University (2016).
Her research focuses on inverse problems, mathematical imaging, scattering theory, and scientific machine learning. She has contributed to theoretical and numerical studies of inverse source problems, wave equations, and electromagnetic diffraction. Her work combines mathematical rigor with computational techniques to address challenges in applied mathematics and engineering.
Liang has taught courses such as MATH 563 (Applied Computational Analysis) and MATH 561 (Numerical Linear Algebra) at Duke, and previously instructed multiple courses at Purdue University and The Chinese University of Hong Kong. Her academic journey includes roles as a Golomb Visiting Assistant Professor (Purdue, 2021–2024) and a Research Assistant (CUHK, 2016–2021).
Her publications span topics like stability analysis of inverse problems, electromagnetic diffraction theory, and numerical methods for partial differential equations. She actively participates in conferences and workshops, presenting on neural network approaches to inverse problems and scientific computing innovations.
