Artificial Intelligence and Machine Learning
Intelligent systems, ensemble learning and the methods behind useful, reliable AI.
Research & ideas
Research That Addresses Real Problems
Dr Mienye's research interests include artificial intelligence, machine learning, intelligent systems, healthcare applications, financial technology and the responsible use of AI. His work brings together academic research and experience developing data and analytics systems in professional environments.
Applied Research in Healthcare and Finance
Machine learning for healthcare applications and data-led problem-solving in financial services.
Data, Technology and Society
Responsible AI, evidence-based decisions and the public value of modern technology.
Selected publications
Ideas grounded in research.
2024
Information
Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Ibomoiye Domor Mienye, Theo G. Swart and George Obaido
2024
Information
Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
Ibomoiye Domor Mienye and Nobert Jere
2022
IEEE Access
A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
Ibomoiye Domor Mienye and Yanxia Sun
Research and professional practice
Connecting methods with real-world decisions.
Across academia and financial services, Dr Mienye's work connects artificial intelligence research with experience developing data and analytics systems. His interests extend to how technology can support responsible decisions in organisations and public institutions.