David C. Jensen Source Confirmed

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

Associate Professor

University of Arkansas at Fayetteville

faculty

10 h-index 47 pubs 455 cited

Research Areas

Human Error and System Reliability Engineering Education and Pedagogy Complex Network Analysis Techniques Decision-Making and Behavioral Economics Machine Learning and Fault Diagnosis

Links

ORCID Lab Website

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OverviewAI-generated summary

David C. Jensen, an Associate Professor at the University of Arkansas at Fayetteville, investigates the intersection of human factors and system reliability. His recent publications explore methods for identifying and propagating functional failures within system designs, with a focus on quantifying the combined effects of human errors and component failures. Jensen has also published work on developing datasets for fault scenarios in rotary machines using vibration signals, contributing to the understanding of system diagnostics. His research extends to developing frameworks for mission assurance through hybrid agent-network analysis and network optimization. Jensen's work also includes the development of learning tools aimed at enhancing engineering judgment and decision-making processes. He has an h-index of 10 and has published 47 total works, accumulating 455 citations. Key collaborators include David Jensen, Larry Marshall, Daniel J. Scott, and Han Hu, all from the University of Arkansas at Fayetteville.

Metrics

  • h-index: 10
  • Publications: 47
  • Citations: 455

Selected Publications

  • A Framework for Hybrid Agent-Network Analysis for Mission Assurance (2025) DOI
  • Implementation of Network Optimization and Resiliency Analysis Towards Mission Assurance (2024) DOI
  • A Survey of Function Failure Identification and Propagation Analysis Methods for System Design (2024) DOI
  • Observations of Remote and In-Persons Formats Using Partial Credit and Multiple-Choice Exams (2024) DOI
  • Supporting Condition-Based Maintenance for Rotary Systems Under Multiple Fault Scenarios (2023) DOI
  • Dataset of single and double faults scenarios using vibration signals from a rotary machine (2023) DOI
  • Quantifying the Combined Effects of Human Errors and Component Failures (2021) DOI

Collaborators

Researchers in the database who share publications

David Jensen University of Arkansas at Fayetteville 3 shared publications Larry Marshall University of Arkansas at Fayetteville 2 shared publications Daniel J. Scott University of Arkansas at Fayetteville 2 shared publications Han Hu University of Arkansas at Fayetteville 1 shared publication Jenn Campbell University of Arkansas at Fayetteville 1 shared publication James A. Davis University of Arkansas at Fayetteville 1 shared publication

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