R
Scholar

Rick Archibald

Google Scholar ID: 65z2UVUAAAAJ
ORNL
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EmailARCHIBALDRK@ORNL.GOVCVOpen ↗TwitterOpen ↗LinkedInOpen ↗
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Resume (English only)
Academic Achievements
  • Householder Fellowship (2005–2007)
  • Published multiple high-impact papers, including:
  • “Uncertainty-aware inverse modeling for federated scientific discovery across DOE facilities” (June 2025, Conference Paper)
  • “Assimilating partial observation to enhance feedback control of stochastic dynamical systems...” (February 2025, Foundations of Data Science)
  • “Streaming Compression of Scientific Data via Weak-SINDy” (February 2025, SIAM Journal on Scientific Computing)
  • “Privacy Preserving Federated Learning for Advanced Scientific Ecosystems” (December 2024, Conference Paper)
  • “A Framework for Compressing Unstructured Scientific Data via Serialization” (December 2024, Conference Paper)
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