Publications

  • A. S. Ackleh, B. Ma and T. Tang, A high resolution finite difference method for a model of structured Susceptible-Infected populations coupled with the environment, Numerical Methods for Partial Differential Equations, 33(2017), 1420-1458. http://onlinelibrary.wiley.com/doi/10.1002/num.22139/epdf

  • A.S. Ackleh, R.A. Chiquet, B. Ma, T. Tang and H. Caswell, A. Veprauskas and N. Sidorovskaia, Analysis of Lethal and Sublethal Impacts of Environmental Disasters on Sperm Whales Using Stochastic Modeling, Ecotoxicology 26(2017), 820-830. https://link.springer.com/content/pdf/10.1007%2Fs10646-017-1813-4.pdf

  • A.S. Aclkeh, H. Caswell, R. A. Chiquet, T. Tang and A. Veprauskas, Sensitivity analysis of the recovery time for a population under the impact of an environmental disturbance, Nature Resource Modeling, Online Link

  • A. S. Ackleh, K. L. Sutton, T. Tang and L. Zhao, A Second Order Finite Difference Scheme for a Variable Infection-Structured Model of Mycobacterium marinum Dynamics in Aquatic Animals, Journal of Nonlinear and Variational Analysis, 2(2018), 177-202. (JNVA2018-Reprint)

  • A. Veprauskas, A.S. Ackleh and T. Tang, Examining the effect of reoccurring disturbances on population persistence with application to marine mammals, Journal of Theoretical Biology, 455(2018), 109-117.https://www.sciencedirect.com/science/authShare/S0022519318303357/20180720T061000Z/1?md5=1caf53a102c8aa80f7792da8a501a57d&dgcid=coauthor

  • A.S. Ackleh, H. Caswell, R.A. Chiquet, T. Tang and A. Veprauskas, Sensitivity Analysis of the Recovery Time for a Population under the Impact of an Environmental Disturbance, Natural Resource Modeling, 32(2019), 1-22.

  • D. Mehta, T. Chen, T. Tang and J. Hauenstein. The Loss Surface Of Deep Linear Networks Viewed Through The Algebraic Geometry Lens. Transactions on Pattern Analysis and Machine Intelligence, April(2021) ArXiv(main)

  • K. Li, N. Sidorovskaia, T. Guilment, T. Tang, C. Tiemann, Decadal assessment of the sperm whale abundance trends in the northern Gulf of Mexico using passive acoustic data, Journal of Marine Science and Engineering, 9(2021).