Electromagnetic Compatibility Group
EMC
The EMC group focuses on the characterization, modeling, and simulation of complex engineering systems. Originating in the field of electromagnetic compatibility and from the study of circuits and electromagnetic fields using analytical and numerical techniques, it has evolved into a multidisciplinary research environment where analytical and numerical modeling, statistical techniques, and machine learning are developed as general-purpose tools. These tools enable designers to optimize the design of devices and systems, and to accurately understand and reproduce, through computer simulations, the main phenomena that lead to performance degradation in complex systems. Key competencies include analytical and numerical modeling, behavioral modeling, model order reduction, uncertainty quantification, and optimization, using techniques such as analytical and numerical methods, CAD, stochastic approaches, and regression-based models for the analysis of variability, sensitivity, and design robustness. Initially developed for electronic and electromagnetic systems, these methodologies now extend to areas such as high-speed system design, signal and power integrity, EMC, high-frequency components and systems, propagation in complex systems, electromagnetic signature, multi-energy networks, and other areas of multiphysics modeling.
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Scientific coordinators
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Research team
Research area
Research topics
- Advanced Modeling and Simulation Tools (high-accuracy numerical models for electromagnetic field analysis, macromodeling, model order reduction, parametric and multiphysics modeling)
- Data-driven and machine learning (ML) methods (regression techniques, hybrid physics- and ML-based models, high-dimensional modeling)
- Semi-analytical methodologies for studying electromagnetic field propagation in complex media and structures (spectral and asymptotic methods)
- Data-driven optimization (Bayesian methods and active learning)
- Uncertainty quantification and statistical analysis (stochastic methods, variability analysis, robust and probabilistic design)
- Electronic and electromagnetic systems (signal and power integrity, high-speed systems, field-circuit interaction, modeling and characterization of high-frequency devices and systems, cables and interconnects, electromagnetic signature)