Research & Development
Active research, publications, academic training, and the systems thinking behind the work.
Biomechanics & Human Movement Laboratory
Deep learning applications in biomechanics and human movement analysis. Investigating neural network architectures for motion prediction, injury prevention, and rehabilitation optimization.
Application of Advanced Data Mining and Computer Vision Techniques in License Plate Recognition
Published in IEEE proceedings (DOI: 10.1109/STCR62650.2025.11018987), this work presents a robust license plate recognition system combining advanced data mining with computer vision, validated on real-world traffic scenarios.
Comparative Analysis of Transfer Learning Architectures in X-Ray / Brain Tumour Classification Using MRI Images
A systematic comparison of state-of-the-art transfer learning architectures (VGG, ResNet, EfficientNet) applied to medical image classification tasks, achieving high accuracy in both X-Ray and MRI brain tumor detection.
Business Transformation with Salesforce Einstein Discovery — A Machine Learning Approach
An examination of how Salesforce Einstein Discovery's AutoML capabilities can be applied to transform enterprise business processes, with case studies on predictive analytics implementation.
Counterfeit Currency Detection with CNN for Nigeria
A convolutional neural network-based approach to detecting counterfeit Nigerian currency notes using image processing and deep learning, achieving high precision through custom dataset collection and augmentation.