Lixin Shen

Lixin Shen is a Professor in the Department of Mathematics at Syracuse University, part of the College of Arts and Sciences. His research focuses on applied and computational harmonic analysis, optimization, imaging science, and information processing. Shen holds a Ph.D. in Mathematics from Sun Yat-Sen University (1996), an M.Sc. from Peking University (1990), and a B.Sc. from Peking University (1987).

Education:

• Ph.D., Mathematics, Sun Yat-Sen University, 1996
• M.Sc., Mathematics, Peking University, 1990
• B.Sc., Mathematics, Peking University, 1987

Research Interests:

Shen’s work emphasizes sparse optimization, image and signal processing, computational mathematics, and their applications. Notable areas include wavelet analysis, tensor decomposition, and robust algorithms for noise removal and high-resolution imaging.

Grants & Awards:

• NSF Grant: Collaborative Research: Sparse Machine Learning and Sparse Optimization (2022–2025)
• Excellence in Graduate Education Faculty Recognition Award, Syracuse University (2024)
• Air Force Summer Faculty Fellowship (2024, 2023, 2021, 2020)

Service & Leadership:

• Chair of Graduate Committee, Mathematics Department (2024–2025)
• Editor, Frontiers in Applied Mathematics and Statistics
• Organizer, SIAM Conferences on Optimization and Imaging (2023–2020)

Teaching:

Recent courses include Numerical Linear Algebra, Numerical Methods with Programming, Sparse Optimization, and Partial Differential Equations.