Mohammadmahdi Hajiha Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

unknown

2 h-index 4 pubs 40 cited

Research Areas

Advanced Neural Network Applications Semiconductor materials and devices Physics of Superconductivity and Magnetism Computational Physics and Python Applications

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OverviewAI-generated summary

Mohammadmahdi Hajiha's research focuses on developing physics-regularized, data-driven approaches for the health prognostics of complex engineered systems. His work aims to improve the management of system health by accurately modeling degradation processes, particularly in cooling systems. Hajiha has investigated dependent health states within these systems, utilizing computational methods to enhance predictive capabilities. His publications include studies on physics-regularized degradation models for cooling system health management, demonstrating an approach that integrates physical principles with observed data for more robust prognostics. His work contributes to the field of system health management by providing methodologies for more accurate and reliable prediction of system failures and performance degradation.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 40

Selected Publications

  • A Physics-Regularized Degradation Model for Cooling System Health Management (2023) DOI
  • A physics-regularized data-driven approach for health prognostics of complex engineered systems with dependent health states (2022) DOI
  • A Physics-Regularized Degradation Model for Cooling System Health Management (2022) DOI

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