Staff Profile
Dr Efosa Osagie
Lecturer
I am Dr Efosa Osagie, a lecturer in the Computer Science and Data Science department at York St John University, London Campus. As an experienced Computer scientist, I bring significant practical experience from higher education and industry. I have a PhD in Data Science with a speciality in Computational Medical Image Analysis from the University of Hertfordshire. I earned my MSc in Information Technology from the University of Bolton and my Bachelor in Materials and Production Engineering from Ambrose Alli University, Nigeria.
My professional interests lie at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. I am highly skilled in Machine Learning, Deep Learning, Applied Medical Imaging Analysis, and data security management and a deep understanding of relational database systems and large-distributed databases complements this.
- School – London
- Email – e.osagie@yorksj.ac.uk
Further information
Teaching
I teach master's-level computer and data science modules, specifically in data science and machine learning. I am also responsible for teaching practical sessions and assessments for these modules, focusing on a problem-based learning approach to drive students’ motivation and learning. I also supervise master's final dissertation projects and teach research methods and techniques.
Research
My research interest is applying computer vision and machine learning methods to medical image analysis. I have made significant contributions to the field, including various high-impact journal articles and conferences on biomedical image segmentation, medical image character recognition systems, Siamese networks, Imaging analysis, Transfer Learning, and Generative Modelling based on Variational Autoencoders.
Publications and Conferences
Publications
- E. Osagie, W. Ji, and N. Helian, “Medical Image Character Recognition Using
Attention-Based Siamese Networks for Visually Similar Characters with Low Resolution,” Lecture Notes in Networks and Systems. Springer Nature Switzerland, pp. 110–119, 2024. doi: 10.1007/978-3-031-65522-7_10. - E. Osagie, W. Ji and N. Helian, "Ensemble Learning for Medical Image Character
Recognition based on Enhanced Lenet-5," 2023 IEEE Conference on Computational
Intelligence in Bioinformatics and Computational Biology (CIBCB), Eindhoven,
Netherlands, 2023, pp. 1-8, doi: 10.1109/CIBCB56990.2023.10264911. - E. Osagie, W. Ji, and N. Helian, “Burnt-in Text Recognition from Medical Imaging
Modalities: Existing Machine Learning Practices,” Journal of Advanced Computational Intelligence and Intelligent Informatics., Vol.28 No.1, pp. 103-110, 2024. doi:
10.20965/jaciii.2024.p0103 - E. Osagie, and S. Ayo-Ogbor, (2022), “Challenges in the Design of Optical
Character Recognition for Medical Image Modalities.,” International Journal of
Multidisciplinary and Current Educational Research (IJMCER). Volume 4 Issue 1 Pages 109-112
Professional Activities
I have the following professional affiliations -
- Associate Member AMBCS - British Computer Society (BCS)
- Fellowship of the Higher Education Academy (FHEA)
- Professional Member - Cyber Security Experts Association of Nigeria (CSEAN)
