Our research covers fundamental and applied aspects of computational electromagnetics with emphasis on
finite difference methods, multi-scale/multi-physics problems, optimization, stochastic uncertainty quantification,
parametric modeling and machine learning.
This work is driven by wireless communication, sensing and biomedical applications: radiowave propagation modeling
in indoor, urban and terrestrial environments, capacitive sensing and imaging, wireless power transfer and biomedical