Efosa O.

As a seasoned Computer Scientist with a PhD in Data Science and Machine Learning from the UK, I bring substantial practical experience from both higher education and industry. My expertise encompasses Python, machine learning, deep learning, applied medical imaging analysis, and data security management, along with a deep understanding of relational and large-distributed database systems. I excel in medical image segmentation modeling, large language models, transfer learning models, and healthcare-related image and video processing using specialized deep model architectures. Additionally, I have practical experience in explainable artificial intelligence (XAI). With several years of teaching experience in higher education, I have designed, delivered, assessed, and evaluated modules, providing valuable feedback for computer science courses. My strong background in integrating image analysis and machine learning enables me to extract insights from structured and unstructured data using supervised and unsupervised learning techniques. My research interests lie in applying computer vision and machine learning methods to medical image analysis. I have made significant contributions through high-impact journal articles and conference presentations on medical image character recognition systems, Siamese networks, imaging analysis, transfer learning, and generative modeling based on conditional variational autoencoders.