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:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20261007T185711Z UID:EE9BF727-F23E-4875-91C2-0DBB67EBB695 DTSTART;TZID=America/New_York:20261007T113000 DTEND;TZID=America/New_York:20261007T123000 DESCRIPTION:Simulation-driven design changed product development forever\, enabling engineers to reduce design\, iterations\, and prototype testing. Increasing scientific computing power expanded the opportunity to apply an alysis\, making large design studies possible within the timing constraint s of a program. This talk will focus on advanced CEM simulation tools that incorporate numerical methods\, such as Method of Moments (MoM)\, Multile vel Fast Multipole Method (MLFMM)\, Finite Element Method (FEM)\, Finite D ifference Time Domain (FDTD)\, Physical Optics (PO)\, Ray Lunching Geometr ical Optics (RL-GO)\, and Uniform Theory of Diffraction (UTD). As the comp lexity of connected devices increases each day\, designers are taking adva ntage of AI/ML to generate trained models for their physical antenna desig ns and perform fast and intelligent optimization on these trained models. Using the trained models\, different optimization algorithms and goals can be run quickly\, in seconds\, that can be utilized for comparison studies \, stochastic analysis for tolerance studies etc. Use of cloud computing c ombined with AI/ML\, many design iterations can be performed in a short pe riod and reducing the time to market. This talk will also focus on future trends in cloud computing for physics-based simulations and the emerging t opics such as Digital Twins.\n\nLunch provided by IEEE Dayton Section\n\nL ocation: KL 253\, Kettering Labs\n\nDirections to KL 253: Once you park th e car in Parking Lot C\, please come to the main entrance of KL (North sid e). Once you enter KL\, you can take the main stairs or the elevator to th e second floor of KL. From the stairs\, you turn right and follow the hall way to KL 253. Parking is free. Please make sure to stop by the parking lo t attendant so that he/she can write down your license plate number.\n\nSp eaker(s): C.J.\, \n\nRoom: KL 253\, Bldg: Kettering Labs\, University of D ayton\, 300 College Park\, Dayton\, Ohio\, United States\, 45469\, Virtual : https://events.vtools.ieee.org/m/579679 LOCATION:Room: KL 253\, Bldg: Kettering Labs\, University of Dayton\, 300 C ollege Park\, Dayton\, Ohio\, United States\, 45469\, Virtual: https://eve nts.vtools.ieee.org/m/579679 ORGANIZER:tswolfe@ieee.org SEQUENCE:30 SUMMARY:IEEE APS Distinguished Lecture (IEEE Day 2026 Event) - Dr. C.J. Red dy\, Pushing the Boundaries of Computational Electromagnetics – Applicat ion to Antenna Designs\, Placement\, Co-site Interference Simulations and Digital Twins URL;VALUE=URI:https://events.vtools.ieee.org/m/579679 X-ALT-DESC:Description: <br /><p class="IMSParagraph" style="text-indent: 0 in\;"><span lang="EN-AU" style="font-size: 12pt\; font-family: Calibri\, s ans-serif\;">Simulation-driven design changed product development forever\ , enabling engineers to reduce design\, iterations\, and prototype testing . Increasing scientific computing power expanded the opportunity to apply analysis\, making large design studies possible within the timing constrai nts of a program. This talk will focus on advanced CEM simulation tools th at incorporate numerical methods\, such as Method of Moments (MoM)\, Multi level Fast Multipole Method (MLFMM)\, Finite Element Method (FEM)\, Finite Difference Time Domain (FDTD)\, Physical Optics (PO)\, Ray Lunching Geome trical Optics (RL-GO)\, and Uniform Theory of Diffraction (UTD). As the co mplexity of connected devices increases each day\, designers are taking ad vantage of AI/ML to generate trained models for their physical antenna des igns and perform fast and intelligent optimization on these trained models . Using the trained models\, different optimization algorithms and goals c an be run quickly\, in seconds\, that can be utilized for comparison studi es\, stochastic analysis for tolerance studies etc. Use of cloud computing combined with AI/ML\, many design iterations can be performed in a short period and reducing the time to market. This talk will also focus on futur e trends in cloud computing for physics-based simulations and the emerging topics such as Digital Twins.</span></p>\n<p class="IMSParagraph" style=" text-indent: 0in\;"><span lang="EN-AU" style="font-size: 12pt\; font-famil y: Calibri\, sans-serif\;">Lunch provided by IEEE Dayton Section</span></p >\n<p class="IMSParagraph" style="text-indent: 0in\;"><span style="font-si ze: 12pt\;">Location: KL 253\, Kettering Labs</span><br><br><span style="f ont-size: 12pt\;">Directions to KL 253: Once you park the car in Parking L ot C\, please come to the main entrance of KL (North side). Once you enter KL\, you can take the main stairs or the elevator to the second floor of KL. From the stairs\, you turn right and follow the hallway to KL 253. Par king is free. Please make sure to stop by the parking lot attendant so tha t he/she can write down your license plate number.</span></p> END:VEVENT END:VCALENDAR