SCOPA Lab
Integrating data with simulation and optimization to support decision-making in the applied sciences.
Overview
The Scientific Computing, Optimization, and Parallel Algorithms (SCOPA) lab is part of UH’s Department of Mathematics. Our research spans:
- Scientific computing & numerical methods
- Machine learning & data science
- Statistical & deterministic inverse problems (governed by dynamical systems)
- Numerical optimization & variational techniques
- Nonlinear optimal control
- Parallel & distributed-memory algorithms
We target 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 above to find out more about our activities and our lab.