Headshot of Dr.Laura Chowdhury

Dr. Laura Chowdhury

Teaching Faculty of Mathematics & Statistics
  • Profile

    Laura Smith Chowdhury completed her B.S. and M.S. in Mathematics at Western Washington University.  She pursued her Ph.D. in applied mathematics at UCLA, followed by a postdoc at USC's Information Sciences Institute.  Prior to joining the University of Richmond, she was a tenured professor at Cal State Fullerton.

    Chowdhury’s research focuses on mathematical modeling of complex systems, often through agent-based approaches.

  • Publications
    Journal Articles

    Chowdhury, L. S., Zhang, Y., & Nichols, R. (2022). Footbinding and its cessation: An agent-based model adjudication of the Labor Market and Evolutionary Sciences Hypotheses. Evolution and Human Behavior, 1090-5138. https://doi.org/10.1016/j.evolhumbehav.2022.08.005

    Martinez, G., Nungaray, F., & Chowdhury, L. S. (2020). Incorporating Migration Into an Age-Structured Population Model with Variable Mortality Rate. The PUMP Journal of Undergraduate Research, 3, 158-189.

    Acevedo, V. & Smith Chowdhury, L. (2019). Modeling sexual violence within the homelessness population through an agent-based approach. The PUMP Journal of Undergraduate Research, 2, 58-72.

    Bichara, D., Iggidr, A., & Smith, L. (2018).  Multi-stage vector-borne zoonoses models: A global analysis.  Bulletin of Mathematical Biology.  https://doi.org/10.1007/s11538-018-0435-1

    Johnson, N., Hitchman, A., Phan, D., & Smith, L. (2017). Self-exciting point process models for political conflict forecasting. European Journal of Applied Mathematics. 1-23.  doi:10.1017/S095679251700033X

    Smith, L., Zhu, L., Lerman, K., & Percus, A. (2016). Partitioning networks with node attributes by compressing information flow. ACM Transactions on Knowledge Discovery from Data, 11 (2), Dec. 2016.

    Camacho, A., Lee, H. R., & Smith, L. (2016). Modelling policing strategies for departments with limited resources. European Journal of Applied Mathematics (27), 479--501.

    Smith, L., Lerman, K., Garcia-Cardona, C., Percus, A., & Ghosh, R. (2013).  Spectral clustering with epidemic diffusion.  Phys. Rev. E, 88 (4), 042813.

    Hogg, T., Lerman, K.,   & Smith, L. (2013).  Stochastic models predict user behavior in social media. ASE Human Journal, 2 (1), 25-39.

    Smith, L., Bertozzi, A., Brantingham, P.J., Tita, G., & Valasik, M.  (2012). Adaptation of an ecological territorial model to street gang spatial patterns in Los Angeles. Discrete and Continuous Dynamical Systems, 32 (9), 3223-3244.

    Hegemann, R., Smith, L., Barbaro, A., Bertozzi, A., Reid, S., & Tita, G. (2011). Geographical influences of an emerging network of gang rivalries. Physica A, 390 (21), 3894-3914.

    Smith, L., Keegan, M., Wittman, T., Mohler, G., & Bertozzi, A.  (2010). Improving density estimation by incorporating spatial information. EURASIP J. on Advances in Signal Processing, 2010, 7.

    Hogg, T., Lerman, K.,   & Smith, L. (2013, September).  Stochastic models predict user behavior in social media. 2013 International Conference on Social Computing (SocialCom). 63-68. doi: 10.1109/SocialCom.2013.16

    Smith, L., Zhu, L., Lerman, K., & Kozareva, Z.  (2013, September).  The role of social media in the discussion of controversial topics. 2013 International Conference on Social Computing (SocialCom). 236-243. doi: 10.1109/SocialCom.2013.41