About Me
Welcome to my personal website! I am an Assistant Professor in the Department of Mathematics at Addis Ababa Science and Technology University, specializing in the mathematical modeling of infectious diseases. With a strong background in applied mathematics, I have dedicated my research to understanding the dynamics of disease spread, epidemiological modeling, and control strategies using mathematical frameworks.
I earned my Ph.D. in Applied Mathematics from the University of South Africa, where my dissertation, Mathematical Model of HIV/AIDS, Tuberculosis, and Their Coevolution with Optimal Control: A Case Study in Ethiopia, focused on modeling the two epidemic diseases and their co-infection. My research explored possible control mechanisms such as prevention, screening, and treatment, while effectively applying optimal control theory. My work contributes to public health decision-making, outbreak predictions, and the optimization of disease control measures.
Beyond research, I am passionate about teaching and mentoring students in Mathematics for Natural and Social Sciences, Applied Mathematics, Mathematical Modeling, Numerical Analysis, and Computational Simulations. I have published five peer-reviewed articles in accredited journals, including Results in Physics (Elsevier), Journal of Biological Systems (World Scientific), Journal of Applied Mathematics (Wiley), and PLOS ONE. Additionally, I have presented my work at international conferences.
I have been actively involved in interdisciplinary collaborations with epidemiologists, public health officials, and policymakers to apply mathematical insights to real-world disease challenges. My current research interests include COVID-19 modeling, vector-borne disease dynamics, and data-driven predictive models for emerging infections.
In addition, I enjoy organizing workshops and training programs to promote the use of mathematics in solving global health challenges.
Selected Papers
Current Project
Project Title:Mathematical Modeling of the Spread and Control of Select Infectious Diseases: A Case Study in Ethiopia
Introduction
Infectious diseases remain a significant public health challenge in Ethiopia, affecting millions of people annually. Mathematical modeling serves as a crucial tool for understanding the transmission dynamics of these diseases, evaluating intervention strategies, and guiding public health policies. This study focuses on constructing and analyzing mathematical models that describe the spread and control of specific transferable diseases within the Ethiopian context.
Modeling Approaches
The research will incorporate various epidemiological models, including:
Target Diseases
The study will focus on infectious diseases of major concern in Ethiopia, such as:
Research Questions
This study will address key epidemiological and public health concerns, including:
Expected Outcomes
The outcomes of this study will provide quantitative insights to policymakers, enabling evidence-based decision-making for disease control. The findings can also contribute to global efforts in infectious disease modeling by incorporating Ethiopia-specific parameters into mathematical frameworks.