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

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