EM Digital Twins for Head-Brain Medium: Dosimetry, Imaging, Diagnostics

#brain-imaging #diagnostics #propagation #wireless #electromagnetics
Share

EEG from scalp potentials, and its source-reconstruction counterpart, is a mature and widely 
used modality for activity tracking and functional brain imaging. However, high-resolution 
source reconstruction remains fundamentally limited by the accuracy and scalability of the 
underlying electromagnetic models, as well as by persistent computational bottlenecks. In 
focal epilepsy, these limitations directly affect source localization in presurgical workflows; 
in BCI applications, they constrain spatial resolution, robustness, and real-time performance.
High-resolution EEG systems are, in fact, computationally demanding, as a substantial part 
of the imaging pipeline relies on advanced electromagnetic models of signal propagation 
in the head. For this reason, innovations in computational methods, modeling strategies, 
and algorithmic approaches have become central to cross-disciplinary research at the 
intersection of Computational Electromagnetics (CEM), neuroengineering, and applied 
electromagnetics.
This talk will present recent advances in CEM-enabled neuroimaging, focusing on technologies 
for brain diagnosis, therapy, and interaction, where improved computational methods and 
dedicated platforms enable more accurate and scalable solutions. Current trends and open 
Grand Challenges will be discussed alongside established results and ongoing research 
activities, including those carried out within the ERC project TurboEEG and the EIC Pathfinder 
project CEREBRO. Without dwelling excessively on technical details, the talk will highlight 
recent theoretical and experimental developments and relate them to applications in 
diagnostics, immersive neurofeedback and brain–machine interfaces.



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar

Loading virtual attendance info...

  • Via Mesiano 77
  • Trento, Trentino-Alto Adige
  • Italy
  • Building: Biblioteca Universitaria di Mesiano
  • Room Number: Sala Polifunzionale BUM

  • Contact Event Host


  Speakers

Prof. Francesco P. Andriulli

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 including 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 (EMTS 2025, 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. 
Prof. Andriulli is a Fellow of the IEEE and of the International Union of Radio Science 
(URSI), and a member of Eta Kappa Nu, Tau Beta Pi, and Phi Kappa Phi. He serves as the 2026 
President-Elect of the IEEE Antennas and Propagation Society and served as IEEE AP-S 
Vice-President of Publications 2025, as Editor-in-Chief of the IEEE Antennas and Propagation 
Magazine, Track Editor for the IEEE Transactions on Antennas and Propagation and as an 
Associate Editor for the IEEE Antennas and Wireless Propagation Letters, IEEE Access, 
URSI Radio Science Letters, and IET-MAP.

Email:

Address:Italy