BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260727T072056Z UID:F2259C09-B92E-46CA-9E5E-FFDF1D37D6C1 DTSTART;TZID=Europe/Rome:20260723T150000 DTEND;TZID=Europe/Rome:20260723T160000 DESCRIPTION:EEG from scalp potentials\, and its source-reconstruction count erpart\, is a mature and widely\nused modality for activity tracking and f unctional brain imaging. However\, high-resolution\nsource reconstruction remains fundamentally limited by the accuracy and scalability of the\nunde rlying electromagnetic models\, as well as by persistent computational bot tlenecks. In\nfocal epilepsy\, these limitations directly affect source lo calization in presurgical workflows\;\nin BCI applications\, they constrai n spatial resolution\, robustness\, and real-time performance.\nHigh-resol ution EEG systems are\, in fact\, computationally demanding\, as a substan tial part\nof the imaging pipeline relies on advanced electromagnetic mode ls of signal propagation\nin the head. For this reason\, innovations in co mputational methods\, modeling strategies\,\nand algorithmic approaches ha ve become central to cross-disciplinary research at the\nintersection of C omputational Electromagnetics (CEM)\, neuroengineering\, and applied\nelec tromagnetics.\nThis talk will present recent advances in CEM-enabled neuro imaging\, focusing on technologies\nfor brain diagnosis\, therapy\, and in teraction\, where improved computational methods and\ndedicated platforms enable more accurate and scalable solutions. Current trends and open\nGran d Challenges will be discussed alongside established results and ongoing r esearch\nactivities\, including those carried out within the ERC project T urboEEG and the EIC Pathfinder\nproject CEREBRO. Without dwelling excessiv ely on technical details\, the talk will highlight\nrecent theoretical and experimental developments and relate them to applications in\ndiagnostics \, immersive neurofeedback and brain–machine interfaces.\n\nSpeaker(s): Prof. Francesco P. Andriulli\n\nRoom: Sala Polifunzionale BUM\, Bldg: Bibl ioteca Universitaria di Mesiano\, Via Mesiano 77\, Trento\, Trentino-Alto Adige\, Italy\, Virtual: https://events.vtools.ieee.org/m/566793 LOCATION:Room: Sala Polifunzionale BUM\, Bldg: Biblioteca Universitaria di Mesiano\, Via Mesiano 77\, Trento\, Trentino-Alto Adige\, Italy\, Virtual: https://events.vtools.ieee.org/m/566793 ORGANIZER:giacomo.oliveri@unitn.it SEQUENCE:10 SUMMARY: EM Digital Twins for Head-Brain Medium: Dosimetry\, Imaging\, Diag nostics URL;VALUE=URI:https://events.vtools.ieee.org/m/566793 X-ALT-DESC:Description: <br /><p><tt><em> </em>EEG from scalp potentials\, and its source-reconstruction counterpart\, is a mature and widely&nbsp\;< br>used modality for activity tracking and functional brain imaging. Howev er\, high-resolution&nbsp\;<br>source reconstruction remains fundamentally limited by the accuracy and scalability of the&nbsp\;<br>underlying elect romagnetic models\, as well as by persistent computational bottlenecks. In &nbsp\;<br>focal epilepsy\, these limitations directly affect source local ization in presurgical workflows\;&nbsp\;<br>in BCI applications\, they co nstrain spatial resolution\, robustness\, and real-time performance.<br>Hi gh-resolution EEG systems are\, in fact\, computationally demanding\, as a substantial part&nbsp\;<br>of the imaging pipeline relies on advanced ele ctromagnetic models of signal propagation&nbsp\;<br>in the head. For this reason\, innovations in computational methods\, modeling strategies\,&nbsp \;<br>and algorithmic approaches have become central to cross-disciplinary research at the&nbsp\;<br>intersection of Computational Electromagnetics (CEM)\, neuroengineering\, and applied&nbsp\;<br>electromagnetics.<br>This talk will present recent advances in CEM-enabled neuroimaging\, focusing on technologies&nbsp\;<br>for brain diagnosis\, therapy\, and interaction\ , where improved computational methods and&nbsp\;<br>dedicated platforms e nable more accurate and scalable solutions. Current trends and open&nbsp\; <br>Grand Challenges will be discussed alongside established results and o ngoing research&nbsp\;<br>activities\, including those carried out within the ERC project TurboEEG and the EIC Pathfinder&nbsp\;<br>project CEREBRO. Without dwelling excessively on technical details\, the talk will highlig ht&nbsp\;<br>recent theoretical and experimental developments and relate t hem to applications in&nbsp\;<br>diagnostics\, immersive neurofeedback and brain&ndash\;machine interfaces.</tt></p> END:VEVENT END:VCALENDAR