Dr. Martins Onyekwelu Onuorah is an Associate Professor in the Department of Computer Science at Kigali Independent University, Rwanda. With over two decades of experience in academia, Dr. Onuorah specializes in mathematics, statistics, and artificial intelligence, with a particular focus on mathematical modeling in epidemiology and machine learning applications in medical diagnosis. His research aims to bridge theoretical modeling with practical healthcare solutions.
Dr. Onuorah’s academic journey is marked by a progression of degrees from renowned institutions in Nigeria. He obtained his BSc from Usmanu Danfodiyo University Sokoto (1992-1996), followed by an MSc (1998-2000) and PhD (2011-2014) from the Federal University of Technology, Minna.
His teaching portfolio is extensive, covering both undergraduate and postgraduate courses. At the undergraduate level, he teaches Discrete Mathematics, Calculus I and II, Numerical Methods, Business Mathematics, Business Statistics, Quantitative Methods, Operations Research, Modeling and Simulation, Data Mining, Artificial Intelligence, Management Information Systems, and System Analysis and Design. For postgraduate students, he leads courses in Quantitative Methods, Research Methodology, Modeling and Simulation, and Management Information Systems.
Notable recent publications by Dr. Onuorah include:
- “An optimal control vaccine model of COVID-19 with cost-effective analysis” in the International Journal of Control (2024)
- “Optimal Control Model of Human African Trypanosomiasis” in WSN (2023)
- “Modelling the Effects of Vertical Transmission in mosquito and the use of Imperfect Vaccine on Chikungunya Virus” in Applied Mathematics (2019)
- “Mathematical model for prevention and control of cholera transmission in a variable population” in Research in Mathematics, Taylor and Francis (2022)
These works demonstrate Dr. Onuorah’s ongoing contributions to the field of mathematical modeling in epidemiology and machine learning, reflecting his comprehensive educational background and extensive research experience.
