BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251216T191906Z UID:FFEF8F18-860A-4649-A3EE-B856888ECEE5 DTSTART;TZID=America/New_York:20251112T103000 DTEND;TZID=America/New_York:20251112T120000 DESCRIPTION:FROM PROPAGATION MODELS TO PHYSICS-BASED DIGITAL TWINS\n\nOF EM ERGING WIRELESS COMMUNICATION SYSTEMS\n\nBy Dr. COSTAS SARRIS\n\nWHEN: Nov ember 12th at 10H30 AM EST\n\nVIA ZOOM: https://uqtr.zoom.us/j/81521084215 ?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1\n\nMeeting ID : 815 2108 4215\n\nPas sword : 018477\n\nThe continuous proliferation of wireless technologies\, from 5G communications to the Internet of Things\, creates a compelling ne ed to intelligently plan the deployment of such systems in indoor and outd oor environments. This planning is required to meet the desired Quality of Service objectives (e.g. high bit-rates for Wi-Fi networks) along with sa fety standards for exposure of users to radiated emissions\, and to ensure compatibility with existing systems. Wireless propagation modeling\, whic h is the prediction of the electromagnetic field levels generated by a wir eless communication system\, is an essential element of such an intelligen t planning process. These models can be deduced by numerical algorithms ba sed on the physics of electromagnetic wave propagation\, or by measurement s.\n\nSoftware-based planning is a reality in several areas\, including th e design of environmentally friendly buildings\, where simulation tools ar e used to optimize heat and air flow. The question is how to enable a simi lar approach for wireless infrastructure that is becoming as indispensable as any other infrastructure element.\n\nThis presentation is aimed at dem onstrating that machine learning enabled propagation models can address th is question\, overcoming the dichotomy between accuracy and efficiency tha t has dominated this area for decades. We give an overview of the most rec ent advances in the field\, including neural networks that can accurately predict\, in real-time\, signal strength levels of indoor and outdoor wire less networks by processing the geometry and the position of one or more t ransmitters. We discuss the use of such models for the rapid placement of massive numbers of access points of wireless networks\, such as those prov iding wireless connectivity to spectators in large sports venues. Finally\ , we show that this research leads to reliable “digital twins” of wire less communication systems. These are robust computational models that all ow for the full evaluation of the performance of wireless networks\, under changes in the environment and the conditions of operation over time.\n\n BIOGRAPHY\n\nDr. Costas Sarris is a Professor with the Department of Elect rical and Computer Engineering\, University of Toronto. His research area is computational electromagnetics\, with an emphasis on time-domain modeli ng. He also works on physics-based wireless propagation models (with full- wave\, asymptotic\, and hybrid techniques)\, uncertainty quantification\, and scientific machine learning.\n\nDr. Sarris is an IEEE Fellow and a Dis tinguished Lecturer of the IEEE Antennas and Propagation Society for 2024- 2026. He was a recipient of the 2021 Premium Award for Best Paper in IET M icrowaves\, Antennas & Propagation\, and the IEEE MTT-S Outstanding Young Engineer Award in 2013. He was the TPC Chair of the 2015 IEEE AP-S Interna tional Symposium on Antennas and Propagation and the CNC/USNC Joint Meetin g\, the 2019 and 2023 MTT-S Numerical Electromagnetics\, Multiphysics and Optimization (NEMO) Conference\, the TPC Vice-Chair of the 2012 IEEE MTT-S International Microwave Symposium\, and the Chair of the MTT-S Technical Committee on Field Theory and Numerical Electromagnetics (2018–2020). In 2019-2024\, he was the Editor-in-Chief of the IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES.\n\nSpeaker(s): Dr. Sarris\, \n\ nVirtual: https://events.vtools.ieee.org/m/509617 LOCATION:Virtual: https://events.vtools.ieee.org/m/509617 ORGANIZER:messaoud.ahmed.ouameur@uqtr.ca SEQUENCE:40 SUMMARY:From Propagation Models to Physics-Based Digital Twins of Emerging Wireless Communication Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/509617 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: cente r\;" align="center"><span lang="EN-CA" style="font-size: 12.0pt\; line-hei ght: 107%\; font-family: 'Adobe Devanagari'\,serif\; mso-bidi-font-weight: bold\;">&nbsp\;</span></p>\n<p class="MsoNormal" style="text-align: cente r\;" align="center"><strong><span lang="EN-US" style="font-size: 16.0pt\; line-height: 107%\; font-family: 'Adobe Devanagari'\,serif\; mso-ansi-lang uage: EN-US\;">FROM PROPAGATION MODELS TO PHYSICS-BASED DIGITAL TWINS </sp an></strong></p>\n<p class="MsoNormal" style="text-align: center\;" align= "center"><strong><span lang="EN-US" style="font-size: 16.0pt\; line-height : 107%\; font-family: 'Adobe Devanagari'\,serif\; mso-ansi-language: EN-US \;">OF EMERGING WIRELESS COMMUNICATION SYSTEMS</span></strong></p>\n<p cla ss="MsoNormal" style="text-align: center\;" align="center"><span lang="EN- US" style="font-size: 14.0pt\; mso-bidi-font-size: 11.0pt\; line-height: 1 07%\;">By Dr. COSTAS SARRIS</span></p>\n<p class="MsoNormal" style="text-a lign: left\;" align="center"><strong style="mso-bidi-font-weight: normal\; "><span lang="EN-US" style="font-size: 14.0pt\; mso-bidi-font-size: 11.0pt \; line-height: 107%\;">WHEN: </span></strong><span lang="EN-US" style="fo nt-size: 14.0pt\; mso-bidi-font-size: 11.0pt\; line-height: 107%\;">Novemb er 12th at 10H30 AM EST</span></p>\n<p class="MsoNormal" style="text-align : left\;" align="center"><strong style="mso-bidi-font-weight: normal\;"><s pan lang="EN-US" style="font-size: 14.0pt\; mso-bidi-font-size: 11.0pt\; l ine-height: 107%\;">VIA ZOOM: </span></strong><span style="font-size: 11.0 pt\; color: black\;"><a href="https://uqtr.zoom.us/j/81521084215?pwd=bchQD ndZg7DTlpVuaeag6bhGwaOvn9.1">https://uqtr.zoom.us/j/81521084215?pwd=bchQDn dZg7DTlpVuaeag6bhGwaOvn9.1</a></span></p>\n<p class="MsoNormal"><span styl e="font-size: 11.0pt\; color: black\;">Meeting ID : 815 2108 4215</span></ p>\n<p class="MsoNormal"><span style="font-size: 11.0pt\; color: black\;"> Password : 018477</span></p>\n<p class="MsoNormal" style="text-align: cent er\;" align="center">&nbsp\;</p>\n<p class="MsoNormal" style="text-align: justify\;"><span lang="EN-US">The continuous proliferation of wireless tec hnologies\, from 5G communications to the Internet of Things\, creates a c ompelling need to intelligently plan the deployment of such systems in ind oor and outdoor environments. This planning is required to meet the desire d Quality of Service objectives (e.g. high bit-rates for Wi-Fi networks) a long with safety standards for exposure of users to radiated emissions\, a nd to ensure compatibility with existing systems.<span style="mso-spacerun : yes\;">&nbsp\; </span>Wireless propagation modeling\, which is the predi ction of the electromagnetic field levels generated by a wireless communic ation system\, is an essential element of such an intelligent planning pro cess. These models can be deduced by numerical algorithms based on the phy sics of electromagnetic wave propagation\, or by measurements. </span></p> \n<p class="MsoNormal" style="text-align: justify\;"><span lang="EN-US">So ftware-based planning is a reality in several areas\, including the design of environmentally friendly buildings\, where simulation tools are used t o optimize heat and air flow. The question is how to enable a similar appr oach for wireless infrastructure that is becoming as indispensable as any other infrastructure element. </span></p>\n<p class="MsoNormal" style="tex t-align: justify\;"><span lang="EN-US">This presentation is aimed at demon strating that machine learning enabled propagation models can address this question\, overcoming the dichotomy between accuracy and efficiency that has dominated this area for decades. We give an overview of the most recen t advances in the field\, including neural networks that can accurately pr edict\, in real-time\, signal strength levels of indoor and outdoor wirele ss networks by processing the geometry and the position of one or more tra nsmitters.<span style="mso-spacerun: yes\;">&nbsp\; </span>We discuss the use of such models for the rapid placement of massive numbers of access po ints of wireless networks\, such as those providing wireless connectivity to spectators in large sports venues. Finally\, we show that this research leads to reliable &ldquo\;digital twins&rdquo\; of wireless communication systems. These are robust computational models that allow for the full ev aluation of the performance of wireless networks\, under changes in the en vironment and the conditions of operation over time.</span></p>\n<p class= "MsoNormal" style="text-align: justify\;"><strong><span lang="EN-US">BIOGR APHY</span></strong></p>\n<p class="MsoNormal" style="text-align: justify\ ;"><strong style="mso-bidi-font-weight: normal\;"><span lang="EN-US">Dr. C ostas Sarris </span></strong><span lang="EN-US" style="mso-bidi-font-weigh t: bold\;">is a Professor with the Department of Electrical and Computer E ngineering\, University of Toronto. His research area is computational ele ctromagnetics\, with an emphasis on time-domain modeling. He also works on physics-based wireless propagation models (with full-wave\, asymptotic\, and hybrid techniques)\, uncertainty quantification\, and scientific machi ne learning.</span></p>\n<p class="MsoNormal" style="text-align: justify\; "><span lang="EN-US" style="mso-bidi-font-weight: bold\;">Dr. Sarris is an IEEE Fellow and a Distinguished Lecturer of the IEEE Antennas and Propaga tion Society for 2024-2026. He was a recipient of the 2021 Premium Award f or Best Paper in IET Microwaves\, Antennas &amp\; Propagation\, and the IE EE MTT-S Outstanding Young Engineer Award in 2013. He was the TPC Chair of the 2015 IEEE AP-S International Symposium on Antennas and Propagation an d the CNC/USNC Joint Meeting\, the 2019 and 2023 MTT-S Numerical Electroma gnetics\, Multiphysics and Optimization (NEMO) Conference\, the TPC Vice-C hair of the 2012 IEEE MTT-S International Microwave Symposium\, and the Ch air of the MTT-S Technical Committee on Field Theory and Numerical Electro magnetics (2018&ndash\;2020). In 2019-2024\, he was the Editor-in-Chief of the IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES. </span></p> END:VEVENT END:VCALENDAR