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Overview

This is a webpage for the Scientific Computing, Optimization, and Parallel Algorithms (SCOPA) lab at UH’s Department of Mathematics. Broadly speaking, the areas of research of the SCOPA lab include the following:

• scientific computing & numerical methods
• statistical & deterministic inverse problems (governed by dynamical systems)
• numerical optimization & variational techniques
• nonlinear optimal control
• parallel & distributed-memory algorithms
• data-enabled science

SCOPA targets various applications of computational and data-enabled sciences with the ultimate aspiration to (i) aid data analysis, (ii) support decision-making, and (iii) enable model-based prediction. Follow the links below to find out more about our activities and our lab.