Edward Pohl Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Arkansas at Fayetteville

faculty

24 h-index 192 pubs 2,349 cited

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Biography and Research Information

OverviewAI-generated summary

Edward Pohl's research investigates decision-making processes in engineering and program management, with a particular focus on quantitative set-based design and the impact of reliability on conceptual design. He has explored methodologies for incorporating the value of information into multiobjective decision-making within quantitative set-based design frameworks, aiming to inform design teams more effectively. His work also extends to understanding stakeholder engagement practices, particularly for government R&D organizations, and the broader concept of engineering resilient systems through design principles and operational strategies.

Pohl leads a research group at the University of Arkansas at Fayetteville and collaborates with several faculty members, including Gregory S. Parnell, Zephan Wade, Nicholas J. Shallcross, and Manuel D. Rossetti, with whom he has co-authored numerous publications. His scholarly output includes 192 total publications, with an h-index of 24 and over 2,300 citations, designating him as a highly cited researcher.

Metrics

  • h-index: 24
  • Publications: 192
  • Citations: 2,349

Selected Publications

  • Assessment of Structures and Systems for Enterprise Trade-Offs (ASSET) (2025) DOI
  • Modeling the Impact of Corrosion Orientation and Location on Pipeline Reliability (2025) DOI
  • Generalized Functional Mixed Models for Accelerated Degradation-Based Reliability Analysis (2024) DOI
  • Analyzing Heat-Related Injuries at Fort Moore (2024) DOI
  • Smart Base Installations: Applying Systems Engineering Techniques to the Agile Development of Multidisciplinary Systems of Systems Projects (2024) DOI
  • Gaps in strategic problem‐solving methods: A systematic literature review (2024) DOI
  • An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program (2024) DOI
  • Smart Installation Weather Warning Decision Support (2024) DOI
  • Role of Decision Analysis in MBSE (2023) DOI
  • Smart Cities—A Structured Literature Review (2023) DOI
  • Applying Machine Learning Methods to Improve All-Terminal Network Reliability (2023) DOI
  • Development and assessment of a resilient telecoms system (2023) DOI
  • Systems Engineering and Industrial Engineering (2022) DOI
  • Impact of Reliability in Conceptual Design—An Illustrative Trade-Off Analysis (2022) DOI
  • Bayesian Design of a D-Optimal Accelerated Degradation Test Considering Random Effects (2022) DOI

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