About Me
I am a Rocky Mountain Postdoctoral Fellow in the Department of Mathematics at Colorado State University. I am working on mathematical analysis, with research at the intersection of analysis, probability, and data science. I frequently use probabilistic tools to investigate signal reconstruction and complex systems, with applications in renewable energy, atmospheric turbulence, and climate science. I earned my Ph.D. in Mathematics from Clemson University. My postdoc mentors are Dr. Clayton Shonkwiler and Dr. Emily King. My PhD mentor is Dr. Martin Schmoll.
I am a mathematician capable of doing both theoretical and applied research, with research interests including
1. Harmonic analysis, including frame theory, sampling theory, and reproducing kernel Hilbert spaces.
2. Optimal transport and its applications in machine learning and data science.
3. Turbulence, renewable energy, and atmospheric science, including weather prediction, intermittency of turbulence, solar and wind power modeling, and climate stability analysis.
Selected Publications
1. Dongwei Chen. Probabilistic Dual Frames and Minimization of Dual Frame Potentials. Journal of Fourier Analysis and Applications 32 (1), 19, 2026.
2. Dongwei Chen and Kai-Hsiang Wang. On the Probabilistic Approximation in Reproducing Kernel Hilbert Spaces. Complex Analysis and Operator Theory 19(6), 137, 2025.
3. Dongwei Chen, Emily J. King, and Clayton Shonkwiler. Redundancy of Probabilistic Frames and Approximately Dual Probabilistic Frames.
4. Dongwei Chen, Emily J. King, and Clayton Shonkwiler. A Land of Oblique Duality for Frames and Probabilistic Frames.
5. Dongwei Chen and Martin Schmoll. Probabilistic Frames and Wasserstein Distances.
6. Dongwei Chen. Paley-Wiener Theorem for Probabilistic Frames.
7. Tiangtian Yang and Dongwei Chen. Beta-generalized Lindley Distribution: A Novel Probability Model for Wind Speed. Renewable Energy, 256, 124216, 2026.
8. Zhiang, Xie, Dongwei Chen, and Puxi Li. Discovering climate change during the early 21st century via Wasserstein stability analysis. Advances in Atmospheric Sciences, 42(2), 373-381, 2025. This work is reported by AAAS's EurekAlert! on January 7th 2025 with title "Unveiling hidden climate dynamics: Researchers use mathematics of optimal transport to decode 21st-century climate change"
Contact
Email: dongwei.chen@colostate.edu