Blessing Emerenini Headshot

Blessing Emerenini

Assistant Professor

School of Mathematics and Statistics
College of Science

585-475-2231
Office Location

Blessing Emerenini

Assistant Professor

School of Mathematics and Statistics
College of Science

Education

Ph.D., University of Guelph; MSc., Eindhoven University of Technology; MEng., Johannes Kepler University Linz

Bio

The focus of my research is in mathematical and computational biology with particular applications in ecology, infectious diseases, and agriculture through modeling, analysis, and simulations. Depending on the particular application, these can be nonlinear ordinary differential equations, partial differential equations, stochastic models or Agent-based models. 

585-475-2231

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Areas of Expertise

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Blessing O. Emerenini, Burkhard A. Hense, Christina Kuttler, Hermann J. Eberl. Mathematical Model of Quorum Sens-ing Induced Biofilm Cell Detachment, published in PLOSONE, 2015.

Blessing O. Emerenini, Stefanie Sonner, Hermann J. Eberl. Mathematical Analysis of a Quorum Sensing Induced Biofilm Dispersal Model and Numerical Simulation of Hollowing Effects, published in Mathematical Biosciences and Engineering, 2016.

Shakiba, N., Edholm, C. J.,Emerenini, B. O., Murillo, A. L., Peace, A., Saucedo, O., Wang, X., and Allen, L. (2021). Effects of environmental variability on superspreading transmission events in stochastic epidemic models. Infectious Disease Modelling, 6, 560–583.

Christina Edholm, Blessing O. Emerenini, Anarina Murillo, Omar Saucedo, Nika Shakiba, Xueying Wang, Linda Allen, Angela Peace, Searching for superspreaders: Identifying epidemic patterns associated with superspreading events in stochastic models. Radunskaya A., Segal R., Shtylla B. (eds) Understanding Complex Biological Systems with Mathematics. Association for Women in Mathematics Series, vol 14. Springer, Cham.Doi.

Uwakwe, J. , Emerenini, B. and Inyama, S. (2020) Mathematical Model, Optimal Control and Transmission Dynamics of AvianSpirochaetosis. Journal of Applied Mathematics and Physics, 8, 270-293.

Blessing O. Emerenini, Ricardo N. G. Reyes Grimaldo∗∗, Cassandra Williams∗, Krista Wurscher∗, Mathematical modeling and analysis of within-host influenza infection dynamics, REU proceedings(under review), Letters in Biomathematics.

Currently Teaching

MATH-181
4 Credits
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.
MATH-241
3 Credits
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.
MATH-251
3 Credits
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.
MATH-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.