University of Wisconsin-Milwaukee
University of Wisconsin-Milwaukee
Kwame Nkrumah University of Science and Technology
I am an applied mathematician with research interests in numerical solutions to partial differential equations, mathematical modeling of biological and industrial process and statistical learning.
In numerical methods I focus on developing efficient (high order, time-adaptive and parallelizable) exponential time differencing schemes (ETD) coupled with various spatial discretization schemes (Finite Elements, Spectral Methods, Mesh Free Methods) for solving advection-diffusion reaction equations (ADRE). I am currently developing an ADRE solver in python to make it easier for scientists without a background in numerical methods to solve multidimensional ADRE equations. In mathematical modeling, I am interested in developing simple models that can explain the mechanics and biochemical signaling used by cells to move in confined environments. These models will be useful in understanding the motility mechanism that cancer cells use to metastasize so that effective drugs can be designed to stop the progression of cancer. In statistical learning, I am currently applying probabilistic classifiers such as logistic regression, relevance vector machines and copulas to develop mathematical models that can accurately predict the risk for aggressive prostate cancer. I am also applying clustering algorithms to detect differences in the sensory spot patterns of fruit flies.
AMS Simons Travel Grant (2019-2022)
1. E.O. Asante-Asamani Daniel Grange, Devarshi Rawal, Zully Santiago, John Loustau, Derrick
Brazill. A role for myosin II clusters and membrane energy in cortex rupture for Dictyostelium
discoideum. PLoS ONE 17(4): e0265380. https://doi.org/10.1371/journal.pone.0265380 (2022)
2. E.O. Asante-Asamani Derrick Brazill, Wanda Strychalski. Actin-myosin dynamics during
bleb stabilization Biophysical Journal, 121 (3) Supplement 1(2022)118A.
3. E.O. Asante-Asamani G. Pal, L. Liu, OO Ogunwobi. A new composite score with potential
predictive value in prostate cancer. Frontiers in Oncology, 11(2021)783.
4. E.O. Asante-Asamani Andreas Kleefeld, Bruce Wade. A second order exponential time dif-
ferencing scheme for nonlinear reaction-diffusion systems with dimensional splitting. Journal of
Computational Physics, 415(2020)109490.
5. O.S. Lyiola, E.O. Asante-Asamani K.M. Furati, A.Q.M. Khaliq, B.A. Wade. Efficient time
discretization scheme for nonlinear space fractional reaction-diffusion equations. International
Journal of Computer Mathematics, 95(6-7) (2018) Pg. 1274-1291.
6. O.S. Lyiola, E.O. Asante-Asamani B.A. Wade. A real distinct poles rational approximation
of generalized Mittag-Leffler functions and their inverses: Applications to fractional calculus.
Journal of Computational and Applied Mathematics, 330, (2017), Pg. 307-317.
7. E.O. Asante-Asamani Lei Wang and Zeyun Yu. A cylindrical basis function for solving partial
differential equations on manifolds. In: Procedia Computer Science, 80, (2016), Pg. 233-244.
8. E.O. Asante-Asamani Abdul Q.M. Khaliq and Bruce A. Wade. A real distinct pole expo-
nential time differencing scheme for reaction-diffusion equations. Journal of Computational and
Applied Mathematics, 299, (2016),Pg 24-34.
9. E.O. Asante-Asamani and Bruce A. Wade. A Dimensional Splitting of ETD Schemes for
Reaction-Diffusion Systems. Communications in computational physics, 19(5)(2016) pg. 1343-
1356.
10. E. Wornyoh, M. M. Rahman,F. Akresi, E.O. Asante-Asamani. Nonlinear mechanics of wear
at boundary lubricated interfaces. In: STLE Tribology Frontiers Conference, (2015).
11. E. Wornyoh, D. Patel, E.O. Asante-Asamani, O.S. Iyiola. Deterministic friction based
efficiency formalism for engine modeling. In: STLE Tribology Frontiers Conference, (2015).
12. E.O. Asante-Asamani. An Efficient Methodology for Learning Bayesian Networks. Theses
and Dissertations, Paper 69.http://dc.uwm.edu/etd/69, (2012)