David Agogo-Mawuli

Researcher

Last publication 2023 Last refreshed 2026-05-16

grad_student

1 h-index 3 pubs 4 cited

Biography and Research Information

OverviewAI-generated summary

David Agogo-Mawuli is a graduate student at the University of Arkansas at Fayetteville. His research focuses on the reliability of power electronic devices, particularly in extreme environments. Agogo-Mawuli investigates methods for optimizing the layout of bidirectional DC-DC converters, as demonstrated in his 2023 publication "Automated Layout Optimization Methods of a Bidirectional DC-DC ZVS Converter Using PowerSynth." He also studies the impact of interacting stress mechanisms on the design for reliability of power modules intended for harsh conditions, as detailed in his 2023 publication, "Factoring Interacting Stress Mechanisms in Design for Reliability of Extreme Environment Power Modules." Agogo-Mawuli has co-authored three publications, with a citation count of four and an h-index of one. His key collaborators at the University of Arkansas at Fayetteville include Yarui Peng, David Huitink, Imam Al Razi, and Collin Ruby.

Metrics

  • h-index: 1
  • Publications: 3
  • Citations: 4

Selected Publications

  • LAREL: A Reliability-Aware Framework for Power Module Layout Optimization Under Dynamic Drive Cycle Stress (2025)
  • Automated Multi-Physics Reliability-Oriented Layout Design for Multi-Chip Power Modules Using the LAREL Tool (2025)
  • Automated Layout Optimization Methods of a Bidirectional DC-DC ZVS Converter Using PowerSynth (2023)
    3 citations DOI OpenAlex
  • Factoring Interacting Stress Mechanisms in Design for Reliability of Extreme Environment Power Modules (2023)
    1 citation DOI OpenAlex
  • Factoring Interacting Stress Mechanisms in Design for Reliability of Extreme Environment Power Modules (2023)

View all publications on OpenAlex →

Collaboration Network

9 Collaborators 1 Institution 1 Country

Top Collaborators

View profile →
View profile →
View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics