Michael D. Shields
Scholar

Michael D. Shields

Google Scholar ID: hc85Ll0AAAAJ
Johns Hopkins University
uncertainty quantificationcomputational mechanicsstochastic processes
Citations & Impact
All-time
Citations
3,127
 
H-index
29
 
i10-index
72
 
Publications
20
 
Co-authors
59
list available
Contact
No contact links provided.
Resume (English only)
Research Experience
  • - Professor at the Department of Civil and Systems Engineering, Johns Hopkins University
  • - Leads the Shields Uncertainty Research Group (SURG) conducting fundamental research including efficient sampling methods, surrogate modeling methods, scientific machine learning models, reliability and probability of failure analysis, etc.
Background
  • - Research Interests: Uncertainty Quantification (UQ), Scientific Machine Learning (SciML), Probabilistic Modeling for Engineering Systems
  • - Specialties: Materials Modeling, Natural Hazards Modeling, Risk and Reliability Analysis, Blast, Shock, and Impact Analysis, Biomechanics and Biomaterials, Nuclear Structures and Materials