Biography

Emmanuel Azuaba is an Associate Professor of Applied Mathematics at Bingham University Karu and the Head of Department (HOD) for Mathematical sciences.

He holds a PhD in Applied Mathematics and also a Master of Business Administration (MBA) with expertise in strategic planning and investment management. He is a member of the following professional bodies: Nigerian Mathematical society (NMS), Nigerian Society for Mathematical Biology (NSMB) ,and Teachers Registration Council of Nigeria (TRCN).

His primary area of research expertise is mathematical modelling of infectious diseases transmission dynamics. He is interested in a variety of population processes that involved electoral outcomes, including the analysis of Substances Abuse (SA) and optimization of Domestic Violence (DV) via differential equations applications, infection-age structured, within-host modelling of viruses and bacterial infections, as well as the analysis of population-level epidemic processes.

Recently, he has been developing new theoretical mathematical models for Substances Abuse (SA) and cerebral malaria impacts on neurological assessment to adolescents’ behaviour.

His research in infectious diseases epidemiology and modelling has been fundamental to Bingham University's planning and response to pandemics, including the COVID-19 pandemic. He was the Principal Investigator (PI) for "Modeling the Risk Assessment of Covid-19 Pandemic in Bingham University of Nigeria". A research response team at Bingham University Campus funded by Bingham University Karu during Covid-19 in 2020. In this project, the main aim was to develop and analyze a mathematical model that evaluates surveillance on how best to observe precautions regarding the spread of virus in the Bingham University community while the objectives were to identify the most probable routes of virus spread on campus, and to identify the most effective control strategies that can be applied, by using non-pharmaceutical approach/experimented data and statistical techniques for parameter estimation.

2022 to 2024 he was the Principal (PI) Investigator for "A Mathematical Model of an Electoral Process and Predicting of Outcome". The project was also funded by Bingham University research grant to investigate electoral process. The aim was to develop and analyze a mathematical model for predicting election outcomes among three major political groups (the ruling party, major opposition party, and minority opposition parties). The model is highly specific to the Nigeria political system and the model incorporates unique real-life variables such as the actions of party campaigners, the Independent National Electoral Commission (INEC), electoral observers, judiciary, security personnel, and even political thugs. The model evaluates how factors like voter registration rates, political party member's defections, and policy inconsistencies impact the final vote. He was also a Co-investigator (Co-I) for many Bingham University Campus research grants like "Application of Optimal Control Strategies to Drug-gang Modeling" The project aims to mitigate menace of drug abuse-gang related activities among undergraduate students on campus.

Nevertheless, outside his dedicated scholarly academics and voracious Philomath, he is highly equipped with strategic planning and investment management skills. Perhaps, as an industrial polymath, he practically focuses on operations management in determining the most efficient mix of assets to maximize expected return for a given level of risk.

More information about his academic qualifications can be found on Bingham University Staff website and the list of his scholarly publications can be found through ResearchGate and the Google scholar link 🔗 below: https://scholar.google.com/citations?user=aBCihegAAAAJ&hl=en

Research Interests

• Applied Mathematics
• Mathematical Biology
• Modeling of Epidemiological Infectious Diseases