Lateef Olawale Fatai

Lateef Olawale Fatai is an accomplished professional with a robust background in statistics and data science, earning his B.Sc in Statistics from the University of Abuja and an M.Sc from the University of Salford. He is an active member of prestigious professional organisations, including the Professional Statisticians Society of Nigeria (PSSN), American Statistical Association (ASA), Royal Statistical Society (RSS), Faculty of Public Health (FPH), American Public Health Association (APHA), and International Society for Computational Biology (ISCB). Lateef's expertise spans Cloud Computing, Big Data, Statistical Analysis, AI, Machine Learning, NLP, Business Intelligence, and Database Management, utilizing tools like Big Query, Python, R-Studio, and SAS. His research emphasis lies in Statistical and Computational Methods for High Dimensional Data in Public Health Analysis, with notable contributions to Statistical Genetics and Survival Analysis. His contributions to Behavioural and Health Sciences analysis, Longitudinal and Multilevel Data Analysis, Design and Analysis of Clinical Trials, Bayesian Models, and Application of Statistical Methods in Public Health demonstrate a commitment to advancing knowledge and solving intricate problems. Beyond his academic pursuits, Lateef O. Fatai actively engages in local and global statistical and computational biology communities, showcasing his commitment to advancing knowledge and addressing real-world challenges. His multifaceted involvement establishes him as a dynamic force in statistical innovation and artificial intelligence world.

Publications

Green Software Engineering Development Paradigm: An Approach to a Sustainable Renewable Energy Future
Green Software Engineering Development Paradigm: An Approach to a Sustainable Renewable Energy Future
Ugochukwu Okwudili Matthew, Olasubomi Asuni, Lateef Olawale Fatai. © 2024. 14 pages.
A major software engineering process of the twenty-first century is green software engineering (GSE), which represents a complete paradigm shift in the software development...
E-Healthcare Data Warehouse Design and Data Mining Using ML Approach
E-Healthcare Data Warehouse Design and Data Mining Using ML Approach
Ugochukwu Okwudili Matthew, Victory Chibuike Onumaku, Lateef Olawale Fatai, Temitope Samson Adekunle, Ajibola Olaosebikan Waliu, Charles Chukwuebuka Ndukwu, Matthew Abiola Oladipupo, Andrew Chinonso Nwanakwaugwu, Godwin Nse Ebong. © 2024. 22 pages.
This paper conducted a thorough analysis of 5G-enabled smart electronic healthcare (e-healthcare) solutions for the Internet of Things (IoT) cloud data warehouse system design...
Smart IoT Drone Systems for News and Intelligence Gathering in Digital Journalism: Drone Evidences in Media Forensics
Smart IoT Drone Systems for News and Intelligence Gathering in Digital Journalism: Drone Evidences in Media Forensics
Ugochukwu Okwudili Matthew, Babatunde Olofin, Jazuli Sanusi Kazaure, Lateef Olawale Fatai, Oluwatosin Samuel Falebita, Andrew Chinonso Nwanakwaugwu, Ogobuchi Daniel Okey, Nwamaka U. Okafor. © 2024. 21 pages.
The adoption of Internet of Things (IoT) Drones in journalism had signaled a digital revolution that altered news reporting, intelligence gathering, and the management of...