Ekene Gabriel Okafor Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Director Research and Development
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Ekene Gabriel Okafor's research investigates the reliability and performance of various systems, with a recent focus on accelerated life testing plans and photovoltaic (PV) systems. His work includes developing optimization strategies, such as Particle Swarm Optimization, to assess the effects of stress interaction on system durability. Okafor has also explored the evaluation of Maximum Power Point Tracking (MPPT) controllers for PV systems, comparing classical, meta-heuristic, and reinforcement learning-based approaches. His research extends to the evaluation of electric vehicle speed using diverse control strategies, particularly concerning permanent magnet synchronous motors (PMSM) and regenerative braking systems. Additionally, he has conducted thermo-mechanical and Fourier-transform infrared spectroscopy investigations of hybrid composites, and has published on the subchronic toxicity of ethanolic extracts. Okafor collaborates with researchers at the University of Arkansas at Fayetteville, including David Huitink and Andrew Leda.
Metrics
- h-index: 5
- Publications: 22
- Citations: 88
Selected Publications
- Evaluating High Temperature Die Attachment Materials: Reliability and Fatigue Performance Beyond 175°C (2025) DOI
- Prediction of Junction Temperature to Estimate Thermal Resistance in 1.7kV SiC Power Module using Real-time Vsd Monitoring Method (2025) DOI
- Sequential Versus Concurrent Effects in Combined Stress Solder Joint Reliability (2024) DOI
- Reliability evaluation of a novel metal oxide-aluminum glycerol film capacitor using nonlinear degradation modeling with dependency considerations (2023) DOI
- Laminated transient liquid phase preform and bond characterization for high-temperature power electronics application (2023) DOI
- Effect of Stress Interaction on Multi-Stress Accelerated Life Test Plan: Assessment Based on Particle Swarm Optimization (2023) DOI
Collaborators
Researchers in the database who share publications