Optimum Numerics Research Group
RESEARCH TOPICS
- Uncertainty quantification, verification, and validation
- Bayesian optimal experimental design (batch and sequential)
- Deep learning and computation
- Quantum computing: quantum computation-characterization-control
- Analysis and computation of parametric partial differential equations
- Numerical optimization and optimal transport
- Multi-scale and multi-fidelity modeling and computation
MEMBERS
- Owen Davis, PhD
Project: Multi-fidelity deep learning with application to parameteric ODE/PDE problems
PhD Defense: Completed Apr. 11, 2024
- Kyle Henke, PhD
Project: Analysis & computation of constrained sparse coding on emerging non-von Neumann devices
PhD Defense: Completed Nov. 6, 2023
- Serafina Middleton, PhD student
Project: Information-theoretic graphs and system dynamics
Defense: Expected 2025-2026
- Chase Hodges-Heilmann, PhD student
Project: Quantum optimal control
Defense: Expected 2025-2026
- Jose Agudelo, PhD student
Project: Stochastic computations with application to accelerator physics
Defense: Expected 2026-2027
CURRENT COLLABORATORS
- Sandia National Laboratories
- Los Alamos National Laboratory
- Lawrence Livermore National Laboratory
motamed@unm.edu
Last updated: 2024
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