BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME:EventsCalendar PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20240422T053451Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT CATEGORIES:College of Engineering DESCRIPTION:Topic: “AI-Enabled Antenna-to-System Design with LLMs, MCP, a nd MATLAB” Abstract: The AI-Enabled Antenna-to-System Design Tutorial offers hands-on exercises and demos that demonstrate an AI-assisted antenn a and RF system engineering workflow in MATLAB. Using LLMs connected thr ough Model Context Protocol (MCP) and domain-specific skills, attendees wi ll see how to create antenna geometries, run EM simulations, evaluate RF m etrics, analyze radiation patterns, and perform design checks with reduced manual effort. The tutorial will also include hands-on examples of AI-bas ed 3D radiation-pattern reconstruction from sparse cuts, pretrained antenn a models for rapid design-space exploration, and the use of EM results in RF chains, waveforms, link budgets, and system-level simulations. This tut orial will help attendees to: (1) Use LLMs and MCP-based domain skills to create and analyze antenna designs and automate common EM engineering task s; (2) Apply AI techniques for radiation-pattern reconstruction and antenn a design-space exploration; and (3) Connect antenna and EM results to end- to-end RF system simulations in MATLAB. Biography: Dr. Sekhar Rajendran Sekharan is a Senior Application Engineer at MathWorks specializing in RF systems, antennas, electromagnetics, wireless communications, and AI-enabl ed RF design workflows. He collaborates with leading semiconductor, aerosp ace, defense, and wireless technology companies to develop advanced modeli ng, simulation, and optimization solutions using MATLAB and Simulink. He h olds a Ph.D. in Electrical Engineering from the University at Buffalo (SUN Y) and is an active IEEE contributor, speaker, and author focused on AI-dr iven RF engineering, antenna design, wireless sensing, and next-generation communication systems. NOTE: All ECE Graduate Students are ENCOURAGED t o attend. All interested parties are invited to attend. Open to the public . *For further information, please contact Dr. Ruolin Zhou via email at rzhou1@umassd.edu.\nEvent page: https://www.umassd.edu/events/cms/10-29-26 -dr-sekhar-sekharan-senior-application-engineer-mathworks.php\nEvent link: https://umassd.zoom.us/j/91630220776 X-ALT-DESC;FMTTYPE=text/html:

Topic: “AI-Enabled Antenna-to -System Design with LLMs\, MCP\, and MATLAB”

Abstract: The AI- Enabled Antenna-to-System Design Tutorial offers hands-on exercises and de mos that demonstrate an AI-assisted antenna and RF system engineering work flow in MATLAB. Using LLMs connected through Model Context Protocol (MCP ) and domain-specific skills\, attendees will see how to create antenna ge ometries\, run EM simulations\, evaluate RF metrics\, analyze radiation pa tterns\, and perform design checks with reduced manual effort. The tutoria l will also include hands-on examples of AI-based 3D radiation-pattern rec onstruction from sparse cuts\, pretrained antenna models for rapid design- space exploration\, and the use of EM results in RF chains\, waveforms\, l ink budgets\, and system-level simulations. This tutorial will help attend ees to: (1) Use LLMs and MCP-based domain skills to create and analyze ant enna designs and automate common EM engineering tasks\; (2) Apply AI techn iques for radiation-pattern reconstruction and antenna design-space explor ation\; and (3) Connect antenna and EM results to end-to-end RF system sim ulations in MATLAB.

Biography: Dr. Sekhar Rajendran Sekharan is a Senior Application Engineer at MathWorks specializing in RF systems\, an tennas\, electromagnetics\, wireless communications\, and AI-enabled RF de sign workflows. He collaborates with leading semiconductor\, aerospace\, d efense\, and wireless technology companies to develop advanced modeling\, simulation\, and optimization solutions using MATLAB and Simulink. He hold s a Ph.D. in Electrical Engineering from the University at Buffalo (SUNY) and is an active IEEE contributor\, speaker\, and author focused on AI-dri ven RF engineering\, antenna design\, wireless sensing\, and next-generati on communication systems.

NOTE: All ECE Graduate Students are EN COURAGED to attend. All interested parties are invited to attend. Open to the public.

*For further information\, please contact Dr. Ruolin Zhou via email at rzhou1@umassd.edu.

Event page: https://www.umassd.edu/events/cms/10-29-26-dr-sekhar -sekharan-senior-application-engineer-mathworks.php
Event link: https://umassd.zoom.us/j/91630 220776

DTSTAMP:20261026T154720 DTSTART;TZID=America/New_York:20261029T140000 DTEND;TZID=America/New_York:20261029T150000 LOCATION:Science & Engineering Building (SENG), Room 222 SUMMARY;LANGUAGE=en-us:Dr. Sekhar Sekharan, Senior Application Engineer, Ma thWorks UID:1a45899b179b8f0fcedda1c7deb49465@www.umassd.edu END:VEVENT END:VCALENDAR