Dr. Francesco P. Andriulli

Recent Advances in Computational Electromagnetics for High Resolution Neuroimaging:

Electroencephalography (EEG) is one of the most used non-invasive acquisition methods to reconstruct the brain electrical activity from scalp potential recordings. As a clinical diagnostic tool, EEG source imaging plays a crucial role in epilepsy evaluation. This particularly applies to patients suffering from focal epilepsy, when source characterization and localization are two decisive stages of a pre-surgical epilepsy evaluation which prepares for the ablation of the patient’s brain area where the seizure originates. Moreover, EEG source imaging also extends to the development of Mind-Machine Interfaces (MMIs or BCIs): non-muscular communication channels leveraging brain signals for the control of external devices.

Modern high-resolution EEGs are computationally intensive devices where a large part of the imaging process is underpinned by advanced tools in the physical modeling of brain electric propagation. For this reason, several cross-disciplinary research efforts are focused on developing advanced tools for brain-related computational electromagnetics. Unfortunately, however, these tools often turn out to be computationally intensive, limiting the resolution of the physical model that can be achieved.

This talk will focus on recent advances in electromagnetic modeling and computational strategies for high resolution EEGs. Theoretical, algorithmic, and experimental advances will be presented together with their promising applications in next-generation high-resolution electroencephalographies, epilepsy diagnostics, computationally enhanced brain-computer interfaces, and real-time neurofeedback. In addition to the theoretical frameworks, this talk will present recent discoveries and achievements together with open Grand Challenges, including current research efforts about diagnostic, BCIs and immersive neurofeedback in the framework of the projects ERC “321” and EIC pathfinder “CEREBRO”, both at the theoretical and experimental level.

Biography:

Francesco P. Andriulli received the Laurea in electrical engineering from the Politecnico di Torino, Italy, in 2004, the MSc in electrical engineering and computer science from the University of Illinois at Chicago in 2004, and the PhD in electrical engineering from the University of Michigan at Ann Arbor in 2008. From 2008 to 2010 he was a Research Associate with the Politecnico di Torino. From 2010 to 2017 he was an Associate Professor (2010-2014) and then Full Professor with the École Nationale Supérieure Mines-Télécom Atlantique (IMT Atlantique), Brest, France. Since 2017 he has been a Full Professor with the Politecnico di Torino, Turin, Italy. His research interests are in computational electromagnetics with focus on frequency- and time-domain integral equation solvers, well-conditioned formulations, fast solvers, low-frequency electromagnetic analyses, and modeling techniques for antennas, wireless components, microwave circuits, and biomedical applications with a special focus on Brain Imaging.

Prof. Andriulli received several best paper awards at conferences and symposia (URSI NA 2007, IEEE AP-S 2008, ICEAA IEEE-APWC 2015) also in co-authorship with his students and collaborators (ICEAA IEEE-APWC 2021, EMTS 2016, URSI-DE Meeting 2014, ICEAA 2009) with whom received also a second prize conference paper (URSI GASS 2014), a third prize conference paper (IEEE–APS 2018), seven honorable mention conference papers (ICEAA 2011, URSI/IEEE–APS 2013, 4 in URSI/IEEE–APS 2022, URSI/IEEE–APS 2023) and other three finalist conference papers (URSI/IEEE-APS 2012, URSI/IEEE-APS 2007, URSI/IEEE-APS 2006, URSI/IEEE–APS 2022)). Moreover, he received the 2014 IEEE AP-S Donald G. Dudley Jr. Undergraduate Teaching Award, the triennium 2014-2016 URSI Issac Koga Gold Medal, and the 2015 L. B. Felsen Award for Excellence in Electrodynamics. He is a Fellow of the IEEE.

Prof. Andriulli is a member of Eta Kappa Nu, Tau Beta Pi, Phi Kappa Phi, and of the International Union of Radio Science (URSI). He is the Editor-in-Chief of the IEEE Antennas and Propagation Magazine, he serves as a Track Editor for the IEEE Transactions on Antennas and Propagation, and as an Associate Editor of URSI Radio Science Letters. He served as an Associate Editor for the IEEE Antennas and Wireless Propagation Letters, IEEE Access,  and IET-MAP. He is the PI of the ERC Consolidator Grant: 321 – From Cubic³ To² Linear¹ Complexity in Computational Electromagnetics.

Email:

Address:Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy