Foto del docente

Mazen Al Shanawani

Junior assistant professor (fixed-term)

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: ING-INF/02 Electromagnetic Fields


Keywords: Batterlyess IoT, Wireless Power Transfer, Efficient EM Simulation Methods, Nonlinear devices, Co-simulation of linear/nonlinear systems

The growth of the Internet of Things (IoT) has witnessed unrivalled rates as the number of devices connected to the internet is expected to go beyond six times as many as the world population.

Therefore, it is important to engineer novel and efficient wireless power transfer systems to allow battery-less functioning mode for these IoT terminals.

I believe that good understanding of the link between theory and application is a key requirement for any successful commercial device. The need to realize ready-to-go energy harvesting systems or investigate potentially mature concepts for the industry has been the basis for my research interests which include, but are not to be limited to, the following major points:

  1. Co-simulation of linear/nonlinear RF power transfer circuits: Including novel nonlinear device models.
  2. Novel and power-efficient antenna array techniques used in RF power transfer scenarios: Such as Time-modulated arrays (TMA), and Frequency Diverse Arrays (FDA).
  3. Efficient electromagnetic simulation methods for middle-range wireless power transfer.
  4. Simulation of single/multi-insulator tunnelling diodes used for millimetric frequency rectification: In particular, applying optimization techniques on physical models to improve devices’ figures of merit (FOM).

Latest news

At the moment no news are available.