FinTech

Invited by Dr Hilary Murray to deliver this talk at Dublin City University, Department of Computer Science to undergraduate students studying “Introduction to Machine Learning”

This PhD research project focuses on developing an adaptive intrusion detection system that leverages advanced machine learning algorithms to detect and mitigate emerging ransomware threats. By designing novel ML techniques capable of analysing large-scale datasets of ransomware samples and benign files, the project aims to create a highly accurate and responsive defence against rapidly evolving ransomware attacks.

It was the objective of this research to detect malware based on system properties using machine learning algorithms.

A video mini-lesson (TEDx style talk) for PiXL through AccessEd delivered at The National STEM Learning Center, University of York, UK. Aimed at introducing teenagers to the concept of blockchain technology. This talk was shared with over 1,400 schools across the United Kingdom.

This talk explored the utilization of blockchain technologies in achieving financial inclusion in Nigeria.

This study measured the value-at-risk (VaR) of five Nigerian banks using an innovative approach of incorporating sentiments from financial tweets.

This study applied a machine learning technique (support vector machine) for sentiment analysis of Nigerian banks’ Twitter data within 2 years, from 1st January 2017 to 31st December 2018.