BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251019T152537Z UID:C008A25E-F210-422B-9422-4961753A874F DTSTART;TZID=America/Los_Angeles:20251016T173000 DTEND;TZID=America/Los_Angeles:20251016T190000 DESCRIPTION:AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations\n\ nIEEE SSCS Distinguished Lecturer Prof. Vanessa Chen\n\nAbstract: AI-drive n design and optimization are revolutionizing RF and mixed-signal circuits for operation in extreme environments\, including high radiation and wide temperature ranges. This talk explores the use of reinforcement learning (RL) and generative models to improve circuit robustness and adaptability. RL-based self-healing techniques leverage embedded electromagnetic sensor s for real-time monitoring and dynamic fault recovery\, while generative m odels accelerate design space exploration\, enabling resilient and efficie nt circuit topologies. The presentation will highlight AI-enhanced designs such as adaptive power amplifiers\, PMICs\, and multispectral sensors tha t enhance performance and reliability in harsh environments.\n\nSpeaker bi ography: Vanessa Chen earned her Ph.D. in electrical and computer engineer ing from Carnegie Mellon University in 2013. Before joining Carnegie Mello n University\, she was affiliated with The Ohio State University. During h er doctoral studies at Carnegie Mellon from 2010 to 2013\, she conducted r esearch on algorithm-assisted approaches for improving energy efficiency a nd ultra-high-speed ADCs with on-chip real-time calibration\, and interned at IBM T. J. Watson Research Center in 2012. Prior to academia\, she held positions as a circuit designer at Qualcomm in San Diego and Realtek\, Hs inchu\, Taiwan\, focusing on self-healing RF/Mixed-signal circuits. Her re search focuses on AI-enhanced circuits and systems\, which include intelli gent sensory interfaces\, RF/mixed-signal hardware security\, and ubiquito us sensing and computing systems. Dr. Chen has received the NSF CAREER Awa rd in 2019. She has been involved in various technical program committees\ , including ISSCC\, VLSI\, CICC\, A-SSCC\, and DAC. She also has served as an Associate Editor for several IEEE journals\, including TCAS-I\, TBioCA S\, and OJCAS. Additionally\, she has contributed as a Guest Editor for TC AS-II and ACM JETC. She is currently an IEEE SSCS Distinguished Lecturer i n 2025/2026.\n\nPlease register to allow for proper planning.\n\nAgenda: \ n5:30pm: Networking\n\n6:00pm: Talk\n\n7:00pm: Event ends\n\nRoom: 101/101 A EE\, Bldg: Packard \, 350 JANE STANFORD WAY\, STANFORD\, California\, Un ited States LOCATION:Room: 101/101A EE\, Bldg: Packard \, 350 JANE STANFORD WAY\, STANF ORD\, California\, United States ORGANIZER:piteous.stains.9t@icloud.com SEQUENCE:27 SUMMARY:AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations URL;VALUE=URI:https://events.vtools.ieee.org/m/506010 X-ALT-DESC:Description: <br /><table style="border-collapse: collapse\; wid th: 100%\; background-color: rgb(255\, 255\, 255)\; border: 1px rgb(255\, 255\, 255)\; height: 340px\;" border="1"><colgroup><col style="width: 50%\ ;"><col style="width: 50%\;"></colgroup>\n<tbody>\n<tr style="height: 340p x\;">\n<td style="border-color: rgb(255\, 255\, 255)\; height: 340px\;">\n <p><strong>AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations</s trong></p>\n<p>IEEE SSCS Distinguished Lecturer Prof. Vanessa Chen</p>\n</ td>\n<td style="text-align: center\; border-color: rgb(255\, 255\, 255)\; height: 340px\;"><img src="https://events.vtools.ieee.org/vtools_ui/media/ display/7285b6a9-f4db-4315-8123-c7986acdce50" width="252" height="335"></t d>\n</tr>\n</tbody>\n</table>\n<p>&nbsp\;</p>\n<p><strong>Abstract: </stro ng>AI-driven design and optimization are revolutionizing RF and mixed-sign al&nbsp\;circuits for operation in extreme environments\, including high r adiation and wide&nbsp\;temperature ranges. This talk explores the use of reinforcement learning (RL) and&nbsp\;generative models to improve circuit robustness and adaptability. RL-based self-healing&nbsp\;techniques lever age embedded electromagnetic sensors for real-time monitoring and&nbsp\;dy namic fault recovery\, while generative models accelerate design space exp loration\,&nbsp\;enabling resilient and efficient circuit topologies. The presentation will highlight AI-enhanced designs such as adaptive power amp lifiers\, PMICs\, and multispectral sensors&nbsp\;that enhance performance and reliability in harsh environments.</p>\n<p>&nbsp\;</p>\n<p class="Mso Normal"><strong>Speaker biography: </strong>Vanessa Chen earned her Ph.D. in electrical and computer engineering from Carnegie Mellon University in 2013. Before joining Carnegie Mellon University\, she was affiliated with The Ohio State University. During her doctoral studies at Carnegie Mellon from 2010 to 2013\, she conducted research on algorithm-assisted approache s for improving energy efficiency and ultra-high-speed ADCs with on-chip r eal-time calibration\, and interned at IBM T. J. Watson Research Center in 2012. Prior to academia\, she held positions as a circuit designer at Qua lcomm in San Diego and Realtek\, Hsinchu\, Taiwan\, focusing on self-heali ng RF/Mixed-signal circuits. Her research focuses on AI-enhanced circuits and systems\, which include intelligent sensory interfaces\, RF/mixed-sign al hardware security\, and ubiquitous sensing and computing systems. Dr. C hen has received the NSF CAREER Award in 2019. She has been involved in va rious technical program committees\, including ISSCC\, VLSI\, CICC\, A-SSC C\, and DAC. She also has served as an Associate Editor for several IEEE j ournals\, including TCAS-I\, TBioCAS\, and OJCAS. Additionally\, she has c ontributed as a Guest Editor for TCAS-II and ACM JETC. She is currently an IEEE SSCS Distinguished Lecturer in 2025/2026.</p>\n<p class="MsoNormal"> &nbsp\;</p>\n<p class="MsoNormal">Please register to allow for proper plan ning.</p><br /><br />Agenda: <br /><p>5:30pm: Networking</p>\n<p>6:00pm: T alk</p>\n<p>7:00pm: Event ends</p> END:VEVENT END:VCALENDAR