On 9 October 2023, Prof. Francesco Ferranti of the Vrije Universiteit of Brussels will offer a seminar entitled “Advanced Data-Driven Modeling Techniques for Complex Electrical Systems”. The seminar will be held in room B0.2 in Roio, from 11.30 am to 1.30 pm

Abstract: Physical phenomena all around us can be described by models, clearly with a different level of complexity depending on the specific application and objectives. The behavior of real-life systems is influenced by several parameters: e.g., layout, environmental, material, mechanical parameters, etc. The underlying dynamical nature of a real-life system
can be linear time-invariant, non-linear, time-varying, etc. and this nature is influenced by these parameters. Think about electronic circuits, body area networks, wireless communication networks, smart grids, patient-specific medicine, and robotics (just to give a few examples). Multiple engineering tasks such as design, control, and characterization need to have modeling techniques able to construct models that can provide an accurate and
efficient representation of such parameter-varying dynamical behaviors. In addition, the preservation of physical properties, such as causality, stability, and passivity, is of paramount importance. It must be highlighted that the nature of the parameters can be deterministic and/or stochastic, which leads to different modeling challenges. Keep in mind: modeling is the key enabler for researchers, engineers, and practitioners over all applications you can think of.

This lecture will provide a global view of advanced data-driven modeling techniques that can efficiently and accurately represent the behavior of electrical systems as a function of multiple system parameters. Different examples based on simulated and measured data will be shown to illustrate real-life applications of these modeling techniques, for example in optimization and variability analysis design tasks. The importance of data collection will be highlighted since it is a very important aspect related to the model accuracy and computational cost of the model training and validation.

Short bio: Francesco Ferranti received a B.S. degree in electronic engineering from the Universit√† degli Studi di Palermo, Palermo, Italy, in 2005, the M.S. degree in electronic engineering from the Universit√† degli Studi dell’Aquila, L’Aquila, Italy, in 2007, and the Ph.D. degree in electrical engineering from Ghent University, Ghent, Belgium, in 2011. He is currently a Professor at the Dept. of Applied Physics and Photonics of the Vrije Universiteit Brussel (VUB), Belgium. Francesco is also an Adjunct Professor at the Indian Institute of Technology (IIT) Madras, Chennai, India, and an Adjunct Professor at Carleton University, Ottawa, Canada.

The seminar can also be followed on the Microsoft Teams platform at the link:

[SEMINAR] Advanced Data-Driven Modeling Techniques for Complex Electrical Systems