BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260327T200946Z UID:9C380DCC-7B0E-4E6B-9200-29AA078FD1A0 DTSTART;TZID=US/Pacific:20260327T110000 DTEND;TZID=US/Pacific:20260327T120000 DESCRIPTION:Due to recent airport delays from the partial government shutdo wn\, the talk has moved to a virtual format.\n\nIEEE SSCS Oregon Chapter M arch Meeting and Seminar\n\nJoin us for a talk from SSCS Distinguished Lec turer Prof. Vanessa Chen from Carnegie Mellon University on Friday\, March 27th\, 2026. The seminar will be held from 11:00am to 12:00pm (PST) via a Virtual format. Please register for the meeting link and information.\n\n Topic:\n\nAI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations\n\n Abstract:\n\nAI-driven design and optimization are revolutionizing RF and mixed-signal circuits for operation in extreme environments\, including hi gh radiation and wide temperature ranges. This talk explores the use of re inforcement learning (RL) and generative models to improve circuit robustn ess and adaptability. RL-based self-healing techniques leverage embedded e lectromagnetic sensors for real-time monitoring and dynamic fault recovery \, while generative models accelerate design space exploration\, enabling resilient and efficient circuit topologies. The presentation will highligh t AI-enhanced designs such as adaptive power amplifiers\, PMICs\, and mult ispectral sensors that enhance performance and reliability in harsh enviro nments.\n\nSpeaker Biography:\n\nVanessa Chen received her Ph.D. in Electr ical and Computer Engineering from Carnegie Mellon University in 2013\, wh ere she worked on energy-efficient\, ultra-high-speed ADCs with real-time calibration and interned at IBM T. J. Watson Research Center. She previous ly held circuit design roles at Qualcomm in San Diego and Realtek in Taiwa n\, focusing on self-healing RF and mixed-signal circuits. Her research ex plores AI-enhanced circuits and systems\, including intelligent sensory in terfaces\, RF/mixed-signal hardware security\, and ubiquitous sensing and computing. Dr. Chen is a recipient of the NSF CAREER Award\, the CMU Colle ge of Engineering Dean’s Early Career Fellowship\, Apple NSI Faculty Fel low\, and the IBM PhD Fellowship. She has served on program committees for ISSCC\, VLSI Symposium\, CICC\, A-SSCC\, and DAC\, as an Associate Editor for several IEEE journals\, and is currently an IEEE SSCS Distinguished L ecturer for 2025–2026.\n\nSpeaker(s): Prof. Vanessa Chen\n\nAgenda: \n11 :00am - 12:00pm: Professional/Career Seminar\n\nVirtual: https://events.vt ools.ieee.org/m/539466 LOCATION:Virtual: https://events.vtools.ieee.org/m/539466 ORGANIZER:rdorrance@ieee.org SEQUENCE:21 SUMMARY:IEEE SSCS Oregon Chapter March Meeting and Seminar (Virtual) URL;VALUE=URI:https://events.vtools.ieee.org/m/539466 X-ALT-DESC:Description: <br /><p><span style="color: rgb(224\, 62\, 45)\;"> <strong>Due to recent airport delays from the partial government shutdown\ , the talk has moved to a virtual format.</strong></span></p>\n<p><span st yle="text-decoration: underline\; color: #000000\;">IEEE SSCS Oregon Chapt er March Meeting and Seminar</span></p>\n<p><span style="color: #000000\;" >Join us for a talk from SSCS Distinguished Lecturer Prof. Vanessa Chen fr om Carnegie Mellon University on Friday\, March 27th\, 2026. The seminar w ill be held from 11:00am to 12:00pm (PST) via a Virtual format. Please reg ister for the meeting link and information.</span></p>\n<p>&nbsp\;</p>\n<p ><span style="color: #000000\;">Topic:</span></p>\n<p>&nbsp\;AI-Enhanced R F/Mixed-Signal Circuits for Reliable Operations</p>\n<p>&nbsp\;</p>\n<p><s pan style="color: #000000\;">Abstract:</span></p>\n<p>AI-driven design and optimization are revolutionizing RF and mixed-signal circuits for operati on in extreme environments\, including high radiation and wide temperature ranges. This talk explores the use of reinforcement learning (RL) and gen erative models to improve circuit robustness and adaptability. RL-based se lf-healing techniques leverage embedded electromagnetic sensors for real-t ime monitoring and dynamic fault recovery\, while generative models accele rate design space exploration\, enabling resilient and efficient circuit t opologies. The presentation will highlight AI-enhanced designs such as ada ptive power amplifiers\, PMICs\, and multispectral sensors that enhance pe rformance and reliability in harsh environments.</p>\n<p>&nbsp\;</p>\n<p>< span style="color: #000000\;">Speaker Biography:</span></p>\n<p>Vanessa Ch en received her Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2013\, where she worked on energy-efficient\, ultra- high-speed ADCs with real-time calibration and interned at IBM T. J. Watso n Research Center. She previously held circuit design roles at Qualcomm in San Diego and Realtek in Taiwan\, focusing on self-healing RF and mixed-s ignal circuits. Her research explores AI-enhanced circuits and systems\, i ncluding intelligent sensory interfaces\, RF/mixed-signal hardware securit y\, and ubiquitous sensing and computing. Dr. Chen is a recipient of the N SF CAREER Award\, the CMU College of Engineering Dean&rsquo\;s Early Caree r Fellowship\, Apple NSI Faculty Fellow\, and the IBM PhD Fellowship. She has served on program committees for ISSCC\, VLSI Symposium\, CICC\, A-SSC C\, and DAC\, as an Associate Editor for several IEEE journals\, and is cu rrently an IEEE SSCS Distinguished Lecturer for 2025&ndash\;2026.</p><br / ><br />Agenda: <br /><p>11:00am - 12:00pm: Professional/Career Seminar</p> END:VEVENT END:VCALENDAR