Contact

E-mail: 
archana.timsina@hamptonu.edu

Location:
Science and Technology Building 246 FCU 

Phone:
757-637-5049

 
 

Dr. Archana Timsina

  • Position: Assistant Professor of Mathematics

  • Educational background:
    B.S. in Mathematics, Tribhuvan University, Nepal.
    M.S. in Mathematics, Tribhuvan University, Nepal
    M.S. in Applied Mathematics, Florida Atlantic University, USA
    Ph.D. in Applied Mathematics, Florida Atlantic University
    Postdoctoral, North Carolina State University

  • Research interests: Dr. Timsina’s research interests include Mathematical Biology, Epidemiology, Mathematical Modeling, Data Science, and Computational Dynamical Systems. Her work focuses on applying mathematical and computational techniques to analyze complex systems and solve interdisciplinary problems. She always looks for innovative ways to solve problems regarding data structure, algorithm, and build strong relationships with diverse individuals to improve processes.

  • Selected publications
    • Chandra Deb, L., Timsina, A., Lenhart, S., Foster, D., & Lanzas, C. (2024). Quantifying trade-offs between therapeutic efficacy and resistance dissemination for enrofloxacin dose regimens in cattle. Scientific Reports, 14(1), 20598.
    • Timsina, A. N., Liyanage, Y. R., Martcheva, M., & Tuncer, N. (2024). A novel within-host model of HIV and nutrition. Mathematical Biosciences and Engineering, 21(4).
    • Das, P., Igoe, M., Lacy, A., Farthing, T., Timsina, A., Lanzas, C., Lenhart,S.,Odoi, A., & Lloyd, A. L. (2024). Modeling county level COVID-19 transmission in the greater St. Louis area: Challenges of uncertainty and identifiability when fitting mechanistic models to time-varying processes. Mathematical Biosciences, 371, 109181.
    • Timsina, A. N., & Tuncer, N. (2023). Dynamics and optimal control of HIV infection and opioid addiction. In Computational and Mathematical Population Dynamics (pp. 61-112).
    • Timsina, A. N., & James, J. M. (2022). Parameterized stable/unstable manifolds for periodic solutions of implicitly defined dynamical systems. Chaos, Solitons & Fractals, 161, 112345.
    • Tuncer, N., Timsina, A., Nuno, M., Chowell, G., & Martcheva, M. (2022). Parameter identifiability and optimal control of an SARS-CoV-2 model early in the pandemic. Journal of Biological Dynamics, 16(1), 412-438.