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:20260921T170239Z UID:4C4C63FB-760F-4D11-86DD-3C9FD8E89ADC DTSTART;TZID=America/New_York:20260921T102000 DTEND;TZID=America/New_York:20260921T111500 DESCRIPTION:[]\n\nAbstract: The growing demand for intelligent\, autonomou s\, and wearable technologies calls for a fundamental shift from conventio nal sensing architectures\, where sensing\, memory\, and computation are p hysically separated\, toward systems capable of processing information dir ectly where it is generated. In this talk\, I will present our work on neu romorphic sensing devices that integrate sensing\, memory\, and computatio n within the same physical platform\, enabling energy-efficient processing of optical\, environmental\, and physiological information. I will highli ght our development of emerging memristive and transistor-based devices ca pable of responding to multiple stimuli\, including light\, humidity\, tem perature\, and chemical signals\, while exhibiting neuronal and synaptic f unctionalities. By exploiting the intrinsic dynamics\, memory\, and adapta tion of these devices\, we aim to move computation closer to the sensor an d enable applications ranging from artificial vision and environmental sen sing to intelligent healthcare. I will then discuss how this vision extend s to flexible and wearable bioelectronics\, highlighting our nature-inspir ed\, 3D-printed self-adhesive biopatch for conformal and multimodal biosig nal monitoring. By combining mechanically adaptive interfaces with integra ted sensing and emerging edge-processing approaches\, such platforms provi de a pathway toward wearable systems that not only acquire physiological s ignals but can ultimately interpret and respond to them locally. Together\ , these efforts illustrate our broader vision of creating intelligent sens ing systems in which materials and devices themselves become active elemen ts of information processing\, paving the way toward energy-efficient edge intelligence and next-generation personalized healthcare.\n\nSpeaker(s): Nazek\, \n\nRoom: 277\, Bldg: Caldwell Lab\, Department of Electrical and Computer Engineering\, 2024 Neil Ave\, Columbus\, Ohio\, United States\, 4 3210\, Virtual: https://events.vtools.ieee.org/m/576607 LOCATION:Room: 277\, Bldg: Caldwell Lab\, Department of Electrical and Comp uter Engineering\, 2024 Neil Ave\, Columbus\, Ohio\, United States\, 43210 \, Virtual: https://events.vtools.ieee.org/m/576607 ORGANIZER:pberger@ieee.org SEQUENCE:25 SUMMARY:IEEE EDS/PHO Columbus DL Speaker: Neuromorphic Sensing and Intellig ent Biopatches for Next-Generation Wearable Systems (Prof. Nazek El-Atab\, KAUST\, Saudi Arabia) URL;VALUE=URI:https://events.vtools.ieee.org/m/576607 X-ALT-DESC:Description: <br /><p class="MsoNormal"><img src="https://events .vtools.ieee.org/vtools_ui/media/display/35ad3078-e70a-4ed0-a97e-2717d2b05 35d" alt="" width="1000" height="1294"></p>\n<p class="MsoNormal" style="m so-pagination: none\; text-align: justify\; text-justify: inter-word\; mar gin-bottom: 0pt\; line-height: 90%\;"><span lang="en-US" style="font-size: 16.0pt\; line-height: 90%\; font-family: Calibri\; mso-armenian-font-fami ly: Calibri\; mso-hebrew-font-family: Calibri\; mso-arabic-font-family: Ca libri\; mso-thai-font-family: Calibri\; color: black\; mso-style-textfill- type: solid\; mso-style-textfill-fill-color: black\; mso-style-textfill-fi ll-alpha: 100%\; text-decoration: underline\; text-underline: single\; fon t-weight: bold\; language: en-US\; mso-ansi-language: en-US\; mso-ligature s: none\;">Abstract:</span><span lang="en-US" style="font-size: 16.0pt\; l ine-height: 90%\; font-family: Calibri\; mso-armenian-font-family: Calibri \; mso-hebrew-font-family: Calibri\; mso-arabic-font-family: Calibri\; mso -thai-font-family: Calibri\; color: black\; mso-style-textfill-type: solid \; mso-style-textfill-fill-color: black\; mso-style-textfill-fill-alpha: 1 00%\; font-weight: bold\; language: en-US\; mso-ansi-language: en-US\; mso -ligatures: none\;"> </span><span lang="en-US" style="font-size: 14.0pt\; line-height: 90%\; font-family: Calibri\; mso-armenian-font-family: Calibr i\; mso-hebrew-font-family: Calibri\; mso-arabic-font-family: Calibri\; ms o-thai-font-family: Calibri\; color: black\; mso-style-textfill-type: soli d\; mso-style-textfill-fill-color: black\; mso-style-textfill-fill-alpha: 100%\; font-weight: bold\; language: en-US\; mso-ansi-language: en-US\; ms o-ligatures: none\;"><span style="mso-spacerun: yes\;">&nbsp\;&nbsp\;</spa n></span><span lang="en-US" style="font-size: 12.0pt\; line-height: 90%\; font-family: Calibri\; mso-armenian-font-family: Calibri\; mso-hebrew-font -family: Calibri\; mso-arabic-font-family: Calibri\; mso-thai-font-family: Calibri\; color: black\; mso-style-textfill-type: solid\; mso-style-textf ill-fill-color: black\; mso-style-textfill-fill-alpha: 100%\; language: en -US\; mso-ansi-language: en-US\; mso-ligatures: none\;">The growing demand for intelligent\, autonomous\, and wearable technologies calls for a fund amental shift from conventional sensing architectures\, where sensing\, me mory\, and computation are physically separated\, toward systems capable o f processing information directly where it is generated. In this talk\, I will present our work on neuromorphic sensing devices that integrate sensi ng\, memory\, and computation within the same physical platform\, enabling energy-efficient processing of optical\, environmental\, and physiologica l information. I will highlight our development of emerging memristive and transistor-based devices capable of responding to multiple stimuli\, incl uding light\, humidity\, temperature\, and chemical signals\, while exhibi ting neuronal and synaptic functionalities. By exploiting the intrinsic dy namics\, memory\, and adaptation of these devices\, we aim to move computa tion closer to the sensor and enable applications ranging from artificial vision and environmental sensing to intelligent healthcare. I will then di scuss how this vision extends to flexible and wearable bioelectronics\, hi ghlighting our nature-inspired\, 3D-printed self-adhesive biopatch for con formal and multimodal biosignal monitoring. By combining mechanically adap tive interfaces with integrated sensing and emerging edge-processing appro aches\, such platforms provide a pathway toward wearable systems that not only acquire physiological signals but can ultimately interpret and respon d to them locally. Together\, these efforts illustrate our broader vision of creating intelligent sensing systems in which materials and devices the mselves become active elements of information processing\, paving the way toward energy-efficient edge intelligence and next-generation personalized healthcare.</span></p> END:VEVENT END:VCALENDAR