Academic Profile

Ping Tong is an assistant professor jointly at Division of Mathematical Science and Asian School of the Environment, Nanyang Technological University. He has a Ph.D. in computational mathematics from Tsinghua University and B.A. degree in mathematics from Beijing Normal University. From September to August 2014, he was a postdoctoral research fellow at Department of Physics, University of Toronto. After that and before joining NTU, he was a postdoctoral fellow at Department of Geophysics, Stanford University.
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Asst Prof Tong Ping
Assistant Professor, Asian School of the Environment
Assistant Professor, School of Physical & Mathematical Sciences - Division of Mathematical Sciences

Numerical methods, inverse problems, seismic imaging (migration+tomography), time-series analysis
  • Developing High-Accuracy Inversion Methods For Super-Resolution Subsurface Images

  • Efficient Spectral And High-Order Methods For Singular And Nonlocal Problems

  • Finite-frequency tomography - Myanmar

  • Full Waveform Inversion of Microseismic Data for Monitoring hydraulic fracturing

  • Multi-Scale Seismic Modelling and Imaging of Southeast Asia

  • Seismic reference model for the crust and uppermost mantle beneath mainland Southeast Asia
  • Chai L., P. Tong, X. Yang. (2018). Frozen Gaussian approximation for 3D seismic tomography. Inverse problems, 34, 055004.

  • Ping Tong, Dinghui Yang, Dongzhuo Li, Qinya Liu. (2017). Time-evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California. Geophysical Research Letters, 44(7), 3165-3175.

  • Lihui Chai, Ping Tong, Xu Yang. (2017). Frozen Gaussian approximation for 3-D seismic wave propagation. Geophysical Journal International, 208(1), 59-74.

  • Xueyuan Huang, Dinghui Yang, Ping Tong, Yanjie Zhou. (2016). 3D Nearly Analytic Central Difference Method for Computation of Sensitivity Kernels of Wave‐Equation‐Based Seismic Tomography. Bulletin of the Seismological Society of America, 106(6), 2877-2899.