Research & Projects

Research Focus

My current research focuses on leveraging artificial intelligence and mobile technology to triage perinatal mental health risks in real time. I aim to build AI-powered systems that improve healthcare outcomes through early detection and intervention.

Publications

• Obe, D., et al. (2024). “A Five-Level Nested Neutral Point-Clamped Inverter Topology.” IET Power Electronics. DOI
• Obe, D. O., et al. (2024). “A Single-Phase, Nine-level Switched-Capacitor-Based Inverter.” Journal of Power Electronics. DOI
• Umoh, G., Obe, D. O., et al. (2024). “Effect of Stator Winding Chording on the Performance of Five Phase Synchronous Reluctance Motor.” Journal of Energy Systems. DOI

Selected Projects

• AI-Driven Perinatal Mental Health App – Currently under development as part of my PhD research to provide real-time risk triage using mobile sensors and ML models.
• JutaLab Predictive Modelling – Achieved a 20% increase in accuracy by implementing hyperparameter tuning and cross-validation.
• Cloud App Deployment (Nanocodes) – Built and deployed scalable web and mobile applications on AWS and Azure with improved performance metrics.
• NIJOTECH OJS Editorial Workflow – Improved publishing efficiency by managing LaTeX typesetting and Open Journal System automation.

Explore More

For full access to my projects and code samples, visit my GitHub profile.