Specialization
Artificial Intelligence, Machine Learning, Climate Change, Software Sustainability And Health Informatics
Department
Computer Science
Office
At the Computer Science department office
Visiting Hour
Appointment on Visitation important
Research Interest
Topic: Development Of Deep Learning Model For Investigating The Role Of Cleansing On Stress Reduction In Healthy Adults
Description:
My research interest includes Recommender systems, Health
informatics, Machine learning, Deep learning, Computer vision, and Neurotheology. The research focus on leveraging on different machine learning algorithms to develop models in solving sophisticated problems. My research is also focus on developing model for artificial intelligence solutions
and development of software applications using intelligent systems leveraging
on enhanced hardware and communication infrastructure. It is also focus on
building recommender systems across various fields of humanity through
content-based and collaborative filtering techniques.
Qualifications
| # | Certificate | School | Year |
|---|
| 1. |
Ph.D (Computer Science) |
Lagos State University |
2026 |
Current Research
The Interconnectedness of Ecosystem Health and Human Well-being: Exploring Eco-health Frameworks for Building Climate Change Resilience in Lagos Island
Research Details
The interdependence of ecosystem health and human health is an acute issue in the context of climate change. Lagos Island, an urban ecosystem characterized by high degree of human density, is specifically at risk of climate-induced stress. This study seeks to investigate the emergence of an ecosystem health framework that uses machine learning and data analytics to predict the linkage among ecosystem health, human health and climate change adaptation capability in Lagos Island. Our analysis integrates data from various sources, including census data, household surveys, and health records. We use machine learning and statistical methods to detect salient socio-economic variables of vulnerability and resilience to climate change. Our findings emphasize the implications of socio-economic conditions when planning climate change adaptation/resilience strategies for Lagos Island. Specifically, we find out that demographic factors such as age and income, economic factors such as poverty rates and employment status, and health factors such as access to healthcare and disease prevalence are significant predictors of vulnerability to climate-related stressors. This study advances the creation of novel eco-health principles with applications to urban governance for constructing climate change preparedness in urban environments, and informs how machine learning and data analytics should be used to help achieve sustainable urbanism.
Biography
AJAGBE TAOFIK is a Lecturer II at the Department of Computer Science
AJAGBE has a Ph.D in Computer Science from Lagos State University
Comprehensive CV
