I am currently working with Prof. Mauro Maggioni and Fei Lu. My research interests include statistical learning theory, high dimensional data analysis, applied and computational harmonic analysis. Here is my CV.

- 2011-2016 Vanderbilt Univerity; Mathematics ; PhD; Advisor: Prof. Akram Aldroubi
- 2007-2010 Sun Yat-Sen University; Mathematics; B.S.

- F. Lu, M. Maggioni, and
**S. Tang**. Learning interaction rules in deterministic interacting particle systems: a Monte Carlo Approach. Preprint. - F. Lu, M. Maggioni,
**S. Tang**and M. Zhong. Nonparametric inference of interaction laws in systems of agents from trajectory data. arXiv:1812.06003. - Y. Eldar, W. Liao, and
**S. Tang**. Sensor Calibration for Spectral Estimation Off the Grid. arXiv:1707.03378, to appear in Applied and Computational Harmonic Analysis. - A. Aldroubi, I. Krishtal, and
**S. Tang**. Phaseless reconstruction from space-time samples. arXiv:1706.05360, to appear in Applied and Computational Harmonic Analysis. - C. Lai and
**S. Tang**. Undersampled windowed exponentials, spectra of Toeplitz operators and its applications. arXiv:1702.01887, to appear in Acta Applicanda Mathematicae. -
**S. Tang**. Universal spatial-temporal sampling sets for discrete spatially invariant evolution systems. IEEE Transactions on Information Theory, 63(9): 5518-5528, 2017. -
**S. Tang**. System Identification in Dynamical Sampling. Advance in Computational Mathematics, 43(3): 555-580, 2017. - A. Aldroubi, C. Cabrelli, U. Molter, and
**S. Tang**. Dynamical Sampling. Applied and Computational Harmonic Analysis, 42(3): 378-401, 2017. - R. Aceska, A. Petrosyan, and
**S. Tang**. Multidimensional Signal Recovery in Discrete Evolution Systems via Spatiotemporal Trade Off. Sampling Theory in Signal and Image Processing, 14(2):153-169, 2015.

- A. Grim, B. Iskra, N. Ju, A. Kryshchenko, F.P. Medina, L. Ness, M. Ngamini, M. Owen, R. Paffenroth, and
**S. Tang**. Analysis of simulated crowd flow exit data: visualization, panic detection, exit time convergence, attribution and estimation, 2018, to appear in Research in Data Science. - R. Aceska and S. Tang. Dynamical sampling in hybrid shift invariant spaces. Contemporary Mathematics, American Mathematics Society, Providence, 626:149-166, 2014.

- A. Aldroubi, I. Krishtal, and
**S. Tang**.Phase retrieval of evolving signals from space-time samples. Proceeding of 12th international conference on Sampling Theory and Applications, 2017. -
**S. Tang**. Filter Recovery in Infinite Spatially Invariant Evolutionary Systems via Spatiotemporal Trade off. Proceeding of 11th international conference on Sampling Theory and Applications, 2015. - R. Aceska, A. Petrosyan, and
**S. Tang**. Dynamical sampling of two-dimensional temporally-varying signals. Proceeding of 11th international conference on Sampling Theory and Applications, 2015.

- Spring 2019: Math 109 Cal II
- Fall 2018: Math 201 Linear Algebra
- Spring 2018: Math 212 Honors Linear Algebra
- Fall 2017: Math 443 Fourier Analysis