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Juan C. Meza

Dr. Meza studies nonlinear optimization with an emphasis on methods for parallel computing. He has also worked on various scientific and engineering applications including scalable methods for nanoscience, power grid reliability, molecular conformation problems, optimal design of chemical vapor deposition furnaces, and semiconductor device modeling.
(209) 228-4487
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Roummel Marcia
  • Large-scale optimization
  • Scientific computation and numerical analysis
  • Compressed sensing and signal processing
  • Computational biology
  • Global optimization
(209) 228-4874
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Noemi Petra
Assistant Professor
  • Numerical solution of partial differential equation (PDEs) 
  • Inverse problems
  • Large-scale PDE-constrained optimization
  • Uncertainty quantification
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