Opportunity Overview
My PhD thesis is based on numerical approximation techniques for reduced-order modeling. This presents a particularly interesting challenge due to the range of different types of reduced-order modeling that are possible, and the computational and practical challenges that come with dealing with nonlinear and high-dimensional problems. Reduced-order modeling finds application in the analysis and design of systems in many fields, for example mechanical and electrical systems, and weather forecasting, and is also useful for finding optimal control solutions in these fields. In my project, I introduce novel computational methods using the Galerkin residual method with polynomial basis functions to solve specific types of model-order reduction problems.
The main research contributions that I expect to achieve through my thesis involve finding approximate polynomial solutions to various partial differential equations (PDEs) to aid in constructing reduced-order models. So far, in collaboration with the Electrical and Electronic Engineering department at Imperial College London, I have developed and implemented a Galerkin spectral method to find approximate solutions to the invariance PDE associated with the steady-state response of...
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Start FreeSolicitation Details
| Issuing agency | EPSRC |
|---|---|
| Country | United Kingdom |
| Category | Research Development |
| Published | September 30, 2022 |
| Procurement stage | Active solicitation |
| Closed | September 30, 2026 |
| Status | Closed — no longer accepting responses |
| Official source | View original notice |
| Last verified | August 10, 2026 |
Source: UK Research and Innovation (UKRI) — Open Government Licence v3.0.
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