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,Thesis/Dissertations DESCRIPTION:Topic: Evaluating Zero-Shot AI Agents for Autonomous Cross-Prot ocol Waveform Selection in Dynamic RF Environments   Abstract: This thesi s builds upon the current principles of cognitive radio, utilizing its cor e principles of being able to adapt autonomously to the given radio freque ncy (RF) channel environment. The approach utilized the advancements in Ar tificial Intelligence (AI) specifically AI agents which consists of tools, memory, and complex reasoning, which embodies the core principles of cogn itive radio. The methodology implemented through an AI agent framework, en abled a completely autonomous and intelligent radio agent with waveform ge neration capabilities. The results show that the agent is able to reason t hrough typical RF engineering decision principles based on given channel c onditions and successfully decipher the task that the user has given it in order to achieve the user's outcome. Overall, this research demonstrates the potential of zero-shot AI agents to serve as the reasoning engine, or ``brain'' of future intelligent radio systems. By moving beyond rigid rule -based adaptation, the proposed framework advances cognitive radio toward more autonomous, flexible, and goal-directed operation across heterogeneou s wireless protocols.  Advisor(s): Dr. Ruolin Zhou, Associate Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth  Committee Me mbers: Dr. Hong Liu, Commonwealth Professor, Dept. of Electrical & Compute r Engineering, UMASS Dartmouth; Dr. Liudong Xing, Commonwealth Professor, Dept. of Electrical & Computer Engineering, UMASS Dartmouth  NOTE: All EC E Graduate Students are ENCOURAGED to attend. All interested parties are i nvited to attend. Open to the public.  *For further information, please c ontact Dr. Ruolin Zhou email at rzhou1@umassd.edu\nEvent page: https://www .umassd.edu/events/cms/thesis-defense-by-cameron-popillo.php\nEvent link: https://umassd.zoom.us/j/93281343753?pwd=UWd5TGsweFpyMC9ydWhzaWErZnlndz09 X-ALT-DESC;FMTTYPE=text/html:

Topic: Evaluating Zero-Shot AI Agents for Autonomous Cross-Protocol Waveform Selection in Dynamic RF Envi ronments  

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Abstract: This thesis builds upon the current principl es of cognitive radio\, utilizing its core principles of being able to ada pt autonomously to the given radio frequency (RF) channel environment. The approach utilized the advancements in Artificial Intelligence (AI) specif ically AI agents which consists of tools\, memory\, and complex reasoning\ , which embodies the core principles of cognitive radio. The methodology i mplemented through an AI agent framework\, enabled a completely autonomous and intelligent radio agent with waveform generation capabilities. The re sults show that the agent is able to reason through typical RF engineering decision principles based on given channel conditions and successfully de cipher the task that the user has given it in order to achieve the user's outcome. Overall\, this research demonstrates the potential of zero-shot A I agents to serve as the reasoning engine\, or ``brain'' of future intelli gent radio systems. By moving beyond rigid rule-based adaptation\, the pro posed framework advances cognitive radio toward more autonomous\, flexible \, and goal-directed operation across heterogeneous wireless protocols. < /p>\n

Advisor(s): Dr. Ruolin Zhou\, Associate Professor\, Dept. of Elect rical & Computer Engineering\, UMASS Dartmouth 

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Committee Members : Dr. Hong Liu\, Commonwealth Professor\, Dept. of Electrical & Computer E ngineering\, UMASS Dartmouth\; Dr. Liudong Xing\, Commonwealth Professor\, Dept. of Electrical & Computer Engineering\, UMASS Dartmouth 

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NO TE: All ECE Graduate Students are ENCOURAGED to attend. All interested par ties are invited to attend. Open to the public. 

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

Event page: https://www.umassd.edu/events/cms/thesis-defense-by-c ameron-popillo.php
Event link: https://umassd.zoom.us/j/9 3281343753?pwd=UWd5TGsweFpyMC9ydWhzaWErZnlndz09

DTSTAMP:20260526T214422 DTSTART;TZID=America/New_York:20260612T130000 DTEND;TZID=America/New_York:20260612T150000 LOCATION:Charlton College of Business, Room 115 (CCB-115) SUMMARY;LANGUAGE=en-us:Thesis Defense by Cameron Popillo UID:93d2dece0fb8240dfa787157cffb223c@www.umassd.edu END:VEVENT END:VCALENDAR