معرفی
Bayode Ogunleye serves as a Senior Lecturer in Data Science and Analytics at the University of Brighton's School of Architecture, Technology and Engineering within the Department of Computing and Mathematical Sciences. He teaches data science modules and contributes to the Computing and Mathematical Sciences Research Excellence Group, with prior experience as a lecturer at Sheffield Hallam University.
His educational foundation includes a PhD in Data Science, MSc in Big Data Analytics, and Postgraduate Certificate in Academic Practice from Sheffield Hallam University, complemented by Fellowships from the Royal Statistical Society and Higher Education Academy.
Ogunleye's research centers on natural language processing and statistical learning applications, specializing in algorithms for information retrieval, sentiment analysis, topic modelling, text summarisation, and cyberbullying detection. His work bridges theoretical advancements with practical implementations across finance, education, and social media safety domains.
Analysis of his publication trends reveals heavy utilization of large language models and ensemble methods for sentiment analysis across diverse contexts including stock markets, electric vehicles, and mental health detection. Recent work increasingly focuses on generative AI applications in educational assessment and cyber safety, demonstrating cross-disciplinary impact.
His scientific distinctions include:
- Fellow of the Royal Statistical Society (RSS)
- Fellow of the Higher Education Academy (FHEA)
As an active academic contributor, Ogunleye serves as peer reviewer for journals including Artificial Intelligence Review and Swarm and Evolutionary Computation, while providing external examination services for universities including Huddersfield, Plymouth, and Suffolk across mathematics and AI programs.
He maintains strong engagement with the Computing and Mathematical Sciences Research Excellence Group, fostering collaborative projects that integrate data science methodologies with real-world industry challenges in banking, retail, and educational technology sectors.
