Computational Electromagnetics (CE)
- Modelling and parameter extraction
- Discretization and solution methods (FDTD, FIT, FEM, BEM, FDS, TLM, PEEC)
- Applications
Circuit Simulation and Device Modeling (CS)
- Modeling and numerical integration techniques
- TCAD/EDA tools and techniques
- Applications
Coupled Problems and Modeling (CP)
- Field-circuit coupled problems
- Multi-physics (substrate coupling, coupling with electrical, thermal and mechanical problems)
- Hybrid modeling: coupling physics-based models with data-driven models or machine learning
- Co-simulation
- Applications
Mathematical and Computational Methods (CM)
- Model order reduction
- Inverse problems and optimization
- Multi-scale schemes
- Differential-Algebraic Equations (DAEs)
- High Performance Computing (HPC)
- Artificial intelligence (AI)
- Machine Learning (ML)
- Neural Networks
- Combined model-based and data-based modeling
Bioengineering / Biomedical Electrical Engineering (Bio)
- Computational bioelectromagnetics
- Mathematical modelling and simulation of electrical implants
- Multiphysics and multiscale modeling
- Scientific Machine learning for electrical applications in life and health
Sponsors
