Dr Racheal Akinboyo | PhD | Building Machine Learning & AI Expert | Nigeria 

Racheal Akinboyo is a Nigerian Artificial Intelligence and Computer Science researcher specializing in machine learning, deep learning, multitask learning, mathematical AI, optimization algorithms, and healthcare AI. She is completing a Ph.D. in Computer Science (Artificial Intelligence), with research focused on developing mathematically grounded AI algorithms and applying them to healthcare problems, particularly breast and prostate cancer analysis. Her work integrates algorithm development with medical imaging, cancer-related clinical data, classification, segmentation, survival analysis, and explainable and trustworthy AI. She has more than six years of experience as an applied scientist and has contributed to peer-reviewed research on multitask learning and task-adaptive optimization.

LinkedIn Profile: linkedin.com/in/racheal-akinboyo

Recent Publications: 

1. Akinboyo, R., Oladipupo, O. O., & Awelewa, A. (2026). EVE: A Task-Adaptive Optimisation Algorithm for Balanced Multitask Learning. IEEE Access, 14. This research introduces the EVE optimization algorithm and evaluates it on applications including breast ultrasound and prostate cancer data. ResearchGate Publication: IEEE paper – DOI 10.1109/ACCESS.2026.3679564

2. Akinboyo, R., Oladipupo, O., & Awelewa, A. (2025). Advancements and Challenges in Task Balancing for Multi-task Learning Architectures. NIPES Journal of Science and Technology Research, 7(1). journals.nipes.org Publication: Journal paper – DOI 10.37933/nipes/7.4.2025.SI15