Research Interests
- Scientific Machine Learning: Neural Operators, Inverse Problems.
- Numerical Methods for Partial Differential Equations: finite element methods, iterative solvers.
- Computational Electromagnetics.
- Computational Fluid Dynamics.
Deep Learning \(\times\) Inverse Problems
Describe this area of your research and replace/delete all lorem ipsum text.
Here is where you can talk about the variety of research subjects, topics, disciplines, sub-disciplines and themes that interest you. You can include the work or research that you are already in the process of doing, or it can be aspirational: the type of research you would like to do in the future. The more content you include in this section, and the more specific your keywords, the more you will be associated with these keywords in an OpenScholar global search--which is great for finding research collaboration opportunities.
Neural Operator-Assisted Fluid Solver
Describe this area of your research and replace/delete all lorem ipsum text.
Ut sem viverra aliquet eget sit amet tellus. Elementum tempus egestas sed sed risus pretium. In hac habitasse platea dictumst vestibulum rhoncus est pellentesque elit.
Numerical Methods for PDEs
text placeholder