Project

Efficient universal numerical multi-level solution methods for complex electromagnetic optimization and inverse problems

Code

01E03209

Duration

01 October 2009 → 30 September 2015

Funding

Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)

Promotor

Luc Dupré

Research disciplines

Natural sciences
- Applied mathematics in specific fields
- Computer architecture and networks
- Distributed computing
- Information sciences
- Information systems
- Programming languages
- Scientific computing
- Theoretical computer science
- Visual computing
- Other information and computing sciences
- Classical physics
- Optical physics
Social sciences
- Biological and physiological psychology
- Cognitive science and intelligent systems
- Developmental psychology and ageing
Medical and health sciences
- Neurosciences
- Neurosciences
- Neurosciences
Engineering and technology
- Modelling
- Multimedia processing

Keywords

optimization electromagnetism biomedical inverse problems surrogate-based optimization

Project description

Complex electromagnetic inverse problems are mostly time demanding and difficult to solve. The postdoctoral research aims at developing novel inverse methods, which are time efficient and accurate. In a next stage, these methods will lead to unified algorithms which have a universal character for soling complex optimization and inverse problems.