Profile
Dongwei Chen
Mathematical and Statistical Sciences
Grad Teacher of Record
Graduate Teacher of Record
Jordan Hall G17 [Office]
Educational Background
B.S., Math, Fuzhou University, 2011-2015
M.S., Climate Science and Turbulence, Institute of Atmospheric Physics, Chinese Academy of Sciences, 2015-2018
Ph.D, Math, Clemson University, 2019-present
Profile/About Me
I am in the job market for postdoc this year and expect to graduate in 2024 summer.
Research Interests
I am working on analysis with a preference for optimal transport, frame theory, and their applications. Currently, I am working on the interaction with frame theory and optimal transport: probabilistic frames. I also work on climate data science and renewable energy by use of machine learning and optimal transport.
Courses Taught
Math 2070 Business Calculus II and Lab: 2023 Fall
Math 1020 Business Calculus I and Lab: 2022 Fall, 2023 Spring
Selected Publications
Dongwei Chen. Paley-Wiener Theorem for Probabilistic Frames. https://arxiv.org/abs/2310.17830
Zhiang, Xie; Dongwei Chen; Puxi Li. Rediscover Climate Change during Global Warming Slowdown via Wasserstein Stability Analysis. arXiv:2303.18067
Dongwei Chen; Fei Hu; Guokui Nian; Tiantian Yang. Deep Residual Learning for Nonlinear Regression. Entropy. 2020, 22, 193.
Selected Talks
July 9, 2023. A remark on the c-monotonicity of optimal transport with capacity constraints. Probability and Algebra: New Expressions In Mathematics Workshop. Texas A&M , US.
May 9, 2023. the Paulsen Problem in Probabilistic Frames and Optimal Transport (poster). Optimal Transport in Data Science Workshop. ICERM, Brown University, US.
Mar.10, 2023. Variant of Paulsen's Problem in probabilistic frames and optimal transport. Southeastern Analysis Meeting (SEAM) 39, Clemson University, SC, US.
Feb.18, 2023. Probabilistic frames and Optimal Transport. Clemson-Georgia Tech Time-Frequency Analysis Seminar, Clemson University, SC, US.
Dec.09, 2022. A land of c-monotonicity in optimal transport. Shing-Tung Yau Center of Southeast University, China.(Online)
Mar.22, 2022. Neural network regression, uncertainty quantification and their applications in climate and turbulence modeling. School of Earth, Atmosphere and Environment, Monash University, Victoria, Australia.(Online)
Sep.19, 2021. Deep neural network for nonlinear regression and its applications in climate and turbulence modeling. Contributed talk to the 44th SIAM Southeastern Atlantic Section Conference, Auburn University, AL, US.
Memberships
AMS, SIAM
Expected Graduation
2024 Summer
