BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240730T020830Z UID:8783F521-006B-43BC-89D3-4E5C92378C75 DTSTART;TZID=America/New_York:20240531T180000 DTEND;TZID=America/New_York:20240531T193000 DESCRIPTION:Talk-1: Singularity Treatment Techniques for Solving Electromag netic Integral Equations\nElectromagnetic (EM) problems can be described b y integral equation approaches\, which include surface integral equations (SIEs)\, volume integral equations (VIEs)\, and volume-surface integral eq uations (VSIEs). All these equations include the L operator\, K operator\, or both. The kernel of the L operator is the dyadic Green’s function\, which includes a double gradient operation on the scalar Green’s functio n and results in 1/R3 hypersingular integrals (HSIs)\, where R is the dist ance between a source point and an observation point or field point. Altho ugh the HSIs could be reduced to 1/R weakly singular integrals (WSIs) in t he method of moments (MoM) solution by using a divergence-conforming basis /testing function like the Rao-Wilton-Glisson (RWG) basis/testing function \, we must carefully handle the HSIs in some numerical methods like Nystr öm method\, meshless method\, or boundary element method because they do not use any basis and testing functions. In the K operator\, the kernel is a single gradient operator on Green's scalar function\, yielding 1/R2 str ongly singular integrals (SSIs). The SSIs always exist in the K operator\, even in the MoM solutions. It could also exist in the L operator in the M oM when the RWG basis function is used to represent both the electric and magnetic current densities in penetrable objects. The accurate and efficie nt evaluation of singular integrals in matrix elements is essential for so lving EM integral equations because they significantly impact the numerica l solutions. In this talk\, we will present some robust singularity treatm ent techniques we developed for those singular integrals and provide numer ical examples to demonstrate their applications for solving real-world pro blems.\n\nTalk-2: The Future of Education: Integrating AI\, ML\, VR\, MR\, Gamification\, and Cloud for Personalized\, Scalable\, and Cost-Effective Education.\nIntegrating AI\, ML\, VR\, MR\, gamification\, and cloud comp uting in education offers a comprehensive approach to providing personaliz ed\, scalable\, and cost-effective learning experiences. AI and ML algorit hms analyze student data to personalize content and learning paths. VR and MR technologies provide immersive and interactive learning experiences. G amification elements motivate and engage students\, while cloud computing ensures accessibility\, scalability\, and cost-efficiency. Together\, thes e technologies empower educators to deliver high-quality education tailore d to individual needs\, regardless of geographical location or resource co nstraints.\n[]\nThe meeting is an in-person event. However\, a Zoom link i s provided for remote attendance.\n\nHere is the Zoom link: https://montcl air.zoom.us/j/2423669227\n\nVenue: Montclair State University\n\nRoom: Cen ter for Environmental and Life Sciences (CELS) Building\, Room CELS 120\n\ nParking: Red Hawk Deck\, Montclair State University\n\nEvent Time: 6:00 P M to 7:30 PM\n\n5:45 PM - Refreshments (Pizza) and Networking\n\n6:00 PM-6 :45 PM: Talk by Prof. Mei Song Tong\n\n6:45 PM-7:30 PM: Talk by Mr. Vishal Kumar\n\nYou do not have to be an IEEE Member to attend. Refreshment is f ree for all attendees. Please invite your friends and colleagues to take a dvantage of this Invited Distinguished Lecture.\n\nCo-sponsored by: IEEE N orth Jersey Section and IEEE Montclaire University Student Branch\n\nSpeak er(s): Prof. Meisong Tong\, Vishal Kumar\n\nAgenda: \nThe meeting is an in -person event. However\, a Zoom link is provided for remote attendance.\n\ nHere is the Zoom link: https://montclair.zoom.us/j/2423669227\n\nVenue: M ontclair State University\n\nRoom: Center for Environmental and Life Scien ces (CELS) Building\, Room CELS 120\n\nParking: Red Hawk Deck\, Montclair State University\n\nEvent Time: 6:00 PM to 7:30 PM\n\n5:45 PM - Refreshmen ts (Pizza) and Networking\n\n6:00 PM-6:45 PM: Talk by Prof. Mei Song Tong\ n\n6:45 PM-7:30 PM: Talk by Mr. Vishal Kumar\n\nYou do not have to be an I EEE Member to attend. Refreshment is free for all attendees. Please invite your friends and colleagues to take advantage of this Invited Distinguish ed Lecture.\n\nBldg: CELS Building\, Room CELS 120\, Montclair State Unive rsity\, Center for Environmental and Life Sciences (CELS) \, Montclair\, N ew Jersey\, United States\, 07043 LOCATION:Bldg: CELS Building\, Room CELS 120\, Montclair State University\, Center for Environmental and Life Sciences (CELS) \, Montclair\, New Jers ey\, United States\, 07043 ORGANIZER:akpoddar@ieee.org SEQUENCE:43 SUMMARY:Talk-1: Singularity Treatment Techniques for Solving Electromagneti c Integral Equations \; Talk-2 The Future of Education: Integrating AI\, M L\, VR\, MR\, Gamification and cloud for Personalized\, scalable and Cost- Effective Education. URL;VALUE=URI:https://events.vtools.ieee.org/m/422013 X-ALT-DESC:Description: <br /><div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg- 1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1ws0">&nbsp\;</div>\n<div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1w s0"><strong><span class="pg-1ff2 pg-1fs1">Talk-1: Singularity Treatment Te chniques for Solving Electromagnetic Integral Equations</span></strong></d iv>\n<div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg- 1sc0 pg-1ls0 pg-1ws0"><span class="pg-1ff2 pg-1fs1">Electromagnetic (EM) p roblems can be described by integral equation&nbsp\;</span>approaches\, wh ich include surface integral equations (SIEs)\, volume integral equations (VIEs)\, and volume-surface integral equations (VSIEs). All these equation s include the L operator\, K operator\, or both. The kernel of the L opera tor is the dyadic Green&rsquo\;s function\, which includes a double gradie nt operation on the scalar Green&rsquo\;s function and results in 1/R3 hyp ersingular integrals (HSIs)\, where R is the distance between a source poi nt and an observation point or field point. Although the HSIs could be red uced to 1/R weakly singular integrals (WSIs) in the method of moments (MoM ) solution by using a divergence-conforming basis/testing function like th e Rao-Wilton-Glisson (RWG) basis/testing function\, we must carefully hand le the HSIs in some numerical methods like Nystr&ouml\;m method\, meshless method\, or boundary element method because they do not use any basis and testing functions. In the K operator\, the kernel is a single gradient op erator on Green's scalar function\, yielding 1/R2 strongly singular integr als (SSIs). The SSIs always exist in the K operator\, even in the MoM solu tions. It could also exist in the L operator in the MoM when the RWG basis function is used to represent both the electric and magnetic current dens ities in penetrable objects. The accurate and efficient evaluation of sing ular integrals in matrix elements is essential for solving EM integral equ ations because they significantly impact the numerical solutions. In this talk\, we will present some robust singularity treatment techniques we dev eloped for those singular integrals and provide numerical examples to demo nstrate their applications for solving real-world problems.&nbsp\;</div>\n <div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1ws0">&nbsp\;</div>\n<div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1ws0"><strong>Talk-2: The Futur e of Education: Integrating AI\, ML\, VR\, MR\, Gamification\, and Cloud f or Personalized\, Scalable\, and Cost-Effective Education. &nbsp\;</strong > &nbsp\; &nbsp\; &nbsp\;</div>\n<div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1ws0">Integrating AI\, ML\, VR \, MR\, gamification\, and cloud computing in education offers a comprehen sive approach to providing personalized\, scalable\, and cost-effective le arning experiences. AI and ML algorithms analyze student data to personali ze content and learning paths. VR and MR technologies provide immersive an d interactive learning experiences. Gamification elements motivate and eng age students\, while cloud computing ensures accessibility\, scalability\, and cost-efficiency. Together\, these technologies empower educators to d eliver high-quality education tailored to individual needs\, regardless of geographical location or resource constraints.</div>\n<div class="t pg-1m 0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1ws0"><i mg src="https://events.vtools.ieee.org/vtools_ui/media/display/becdcead-2a da-45d3-8d4f-dc84a8f100cf" alt="" width="1016" height="580">&nbsp\; &nbsp\ ;</div>\n<div class="t pg-1m0 pg-1x1 pg-1h4 pg-1y7 pg-1ff1 pg-1fs2 pg-1fc0 pg-1sc0 pg-1ls0 pg-1ws0"><strong>The meeting is an in-person event. Howev er\, a Zoom link is provided for remote attendance.</strong></div>\n<p>Her e is the Zoom link:&nbsp\;<a href="https://montclair.zoom.us/j/2423669227" target="_blank" rel="noopener" data-saferedirecturl="https://www.google.c om/url?q=https://montclair.zoom.us/j/2423669227&amp\;source=gmail&amp\;ust =1716872821828000&amp\;usg=AOvVaw3GEDXoQS_AFsR1y4QL4XaX">https://montclair .zoom.us/j/<wbr>2423669227</a></p>\n<p>Venue: Montclair State University</ p>\n<p>Room: Center for Environmental and Life Sciences (CELS) Building\, Room CELS 120</p>\n<p>Parking: Red Hawk Deck\, Montclair State University< /p>\n<p>Event Time: 6:00 PM to 7:30 PM</p>\n<p>5:45 PM - Refreshments (Piz za) and Networking</p>\n<p>6:00 PM-6:45 PM: Talk by Prof.&nbsp\;Mei Song T ong&nbsp\;&nbsp\;</p>\n<p>6:45 PM-7:30 PM: Talk by Mr. Vishal Kumar</p>\n< p>You do not have to be an IEEE Member to attend. Refreshment is free for all attendees. Please invite your friends and colleagues to take advantage of this Invited Distinguished Lecture.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p ><br /><br />Agenda: <br /><p><strong>The meeting is an in-person event. H owever\, a Zoom link is provided for remote attendance.</strong></p>\n<p>H ere is the Zoom link:&nbsp\;<a href="https://montclair.zoom.us/j/242366922 7" target="_blank" rel="noopener" data-saferedirecturl="https://www.google .com/url?q=https://montclair.zoom.us/j/2423669227&amp\;source=gmail&amp\;u st=1716872821828000&amp\;usg=AOvVaw3GEDXoQS_AFsR1y4QL4XaX">https://montcla ir.zoom.us/j/<wbr>2423669227</a></p>\n<p>Venue: Montclair State University </p>\n<p>Room: Center for Environmental and Life Sciences (CELS) Building\ , Room CELS 120</p>\n<p>Parking: Red Hawk Deck\, Montclair State Universit y</p>\n<p>Event Time: 6:00 PM to 7:30 PM</p>\n<p>5:45 PM - Refreshments (P izza) and Networking</p>\n<p>6:00 PM-6:45 PM: Talk by Prof.&nbsp\;Mei Song Tong&nbsp\;&nbsp\;</p>\n<p>6:45 PM-7:30 PM: Talk by Mr. Vishal Kumar</p>\ n<p>You do not have to be an IEEE Member to attend. Refreshment is free fo r all attendees. Please invite your friends and colleagues to take advanta ge of this Invited Distinguished Lecture.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;< /p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR