Research
Papers and preprints I've co-authored, spanning software engineering, AI/ML, and applied systems research.
Papers
Journal of Chemical, Environmental and Biological Engineering · Vol. 9(2), pp. 83–94
An integrated framework for energy-efficient Android development combining static code analysis, dynamic energy profiling, and experimental testing across four apps — identifying anti-patterns like unreleased wake locks and excessive CPU activity, and achieving a 30–40% reduction in energy usage post-optimization.
Research Square · Systematic Review
A PRISMA-guided systematic review of 42 peer-reviewed studies on software design patterns, mapping the shift from monolithic to distributed, event-driven, and cloud-native architectures, and surfacing recurring trade-offs across pattern categories.
Research Square
A mixed-method study comparing statement, branch, and path coverage across 30 Agile vs. Traditional software projects, finding Agile achieves significantly higher and more stable coverage — with a Random Forest classifier distinguishing methodologies at 87% accuracy.
Research Square
A sequence-modeling neural network approach for predicting post-harvest losses in cassava-based fufu production across selected hubs in Oyo State, addressing the limits of manual spoilage inspection.
Research Square
A case study of the 2024 GTBank and FirstBank outages, examining how CI/CD pipeline practices can be strengthened to mitigate downtime risk in digital banking infrastructure.
Collaborators
“Akeem brings a rare mix of academic rigor and practical engineering instinct to his research — he doesn't just run the experiments, he questions why the methodology should work in the first place. That combination made him one of the more dependable students I've supervised.”
Ajayi, W.
Lecturer & Co-Author
“We've worked across multiple papers together, and Akeem is the kind of collaborator who turns a rough idea into a structured study without much hand-holding. His software background means he can actually build the systems we're studying, not just write about them.”
Adewumi, I.O.
Research Collaborator & Co-Author
“Akeem is thorough and easy to work with under deadline pressure — he keeps the technical side of our papers grounded and well-documented, which made the review process a lot smoother for all of us.”
Babatunde, A.A.
Research Collaborator & Co-Author
Ongoing
Beyond the work above, I'm continuing research into AI-driven software architecture, energy-efficient computing, and applied machine learning for real-world systems as part of my MSc studies and ongoing collaborations. New papers will be linked here as they're published.