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:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251113T211138Z UID:56CD2814-0670-44FC-BC09-4A121FF2A3B2 DTSTART;TZID=US/Pacific:20251113T110000 DTEND;TZID=US/Pacific:20251113T120000 DESCRIPTION:IEEE SSCS Oregon Chapter November Meeting and Seminar #1\n\nJoi n us for a talk from SSCS Distinguished Lecturer Prof. Jerald Yoo from Seo ul National University on Thursday\, November 13th\, 2025. The seminar wil l be held from 11:00am to 12:00pm (PST) via a Hybrid format. Please regist er for the meeting link and information.\n\nTopic:\n\nOn-Chip Epilepsy Det ection: Where Machine Learning Meets Patient-Specific Wearable Healthcare\ n\nAbstract:\n\nEpilepsy is a severe and chronic neurological disorder tha t affects over 65 million people worldwide. Yet current seizure/epilepsy d etection and treatment mainly rely on a physician interviewing the subject \, which is not effective in infant/children group. Moreover\, patient-to- patient and age-to-age variation on seizure pattern make such detection pa rticularly challenging. To expand the beneficiary group to even infants an d also to effectively adapt to each patient\, a wearable form-factor\, the patient-specific system with machine learning is of crucial. However\, th e wearable environment is challenging for circuit designers due to unstabl e skin-electrode interface\, huge mismatch\, and static/dynamic offset.\n\ nThis lecture will cover the design strategies of patient-specific epileps y detection System-on-Chip (SoC). We will first explore the difficulties\, limitations\, and potential pitfalls in wearable interface circuit design and strategies to overcome such issues. Starting from a one op-amp instru mentation amplifier (IA)\, we will cover various IA circuit topologies and their key metrics to deal with offset compensation. Several state-of-the- art instrumentation amplifiers that emphasize on different parameters will also be discussed. Moving on\, we will cover the feature extraction and t he patient-specific and patient-independent classification using Machine L earning technique. Finally\, an on-chip epilepsy detection and recording s ensor SoC will be presented\, which integrates all the components covered during the lecture. The lecture will conclude with interesting aspects and opportunities that lie ahead.\n\nSpeaker Biography:\n\nJerald Yoo (S’05 -M’10-SM’15) received the B.S.\, M.S.\, and Ph.D. degrees in Departmen t of Electrical Engineering from the Korea Advanced Institute of Science a nd Technology (KAIST)\, Daejeon\, Korea\, in 2002\, 2007\, and 2010\, resp ectively. From 2010 to 2016\, he was with the Department of Electrical Eng ineering and Computer Science\, Masdar Institute\, Abu Dhabi\, United Arab Emirates\, where he was an Associate Professor. From 2010 to 2011\, he wa s also with the Microsystems Technology Laboratories (MTL)\, Massachusetts Institute of Technology (MIT) as a visiting scholar. Between 2017 and 202 4\, he was with the Department of Electrical and Computer Engineering\, Na tional University of Singapore\, Singapore\, as an Associate Professor. Si nce 2024\, he has been with the Department of Electrical and Computer Engi neering\, Seoul National University\, where he is currently an Associate P rofessor. He has pioneered research on Body-Area Network (BAN) transceiver s for communication/powering and wearable body sensor network using the pl anar-fashionable circuit board for a continuous health monitoring system. He authored book chapters in Biomedical CMOS ICs (Springer\, 2010)\, Enabl ing the Internet of Things—From Circuits to Networks (Springer\, 2017)\, The IoT Physical Layer (Chapter 8\, Springer\, 2019) and Handbook of Bioc hips (Biphasic Current Stimulator for Retinal Prosthesis\, Springer\, 2021 ). His current research interests include low-energy circuit technology fo r wearable bio-signal sensors\, flexible circuit board platform\, BAN for communication and powering\, ASIC for piezoelectric Micromachined Ultrason ic Transducers (pMUT)\, and System-on-Chip (SoC) design to system realizat ion for wearable healthcare applications. Dr. Yoo is an IEEE Solid-State C ircuits Society (SSCS) Distinguished Lecturer (2024-2025 and 2017-2018). H e also served an IEEE Circuits and Systems Society (CASS) Distinguished Le cturer (2019-2021). He is the recipient or a co-recipient of several award s: IEEE International Solid-State Circuits Conference (ISSCC) 2020 and 202 2 Demonstration Session Award (Certificate of Recognition)\, IEEE Internat ional Symposium on Circuits and Systems (ISCAS) 2015 Best Paper Award (Bio CAS Track)\, ISCAS 2015 Runner-Up Best Student Paper Award\, the Masdar In stitute Best Research Award in 2015 and the IEEE Asian Solid-State Circuit s Conference (A-SSCC) Outstanding Design Award (2005). He was the founding vice-chair of the IEEE SSCS United Arab Emirates (UAE) Chapter and is the chair of the IEEE SSCS Singapore Chapter. Currently\, he serves as an Exe cutive Committee as well as a Technical Program Committee Member of the IE EE International Solid-State Circuits Conference (ISSCC)\, ISSCC Student R esearch Preview (chair)\, and IEEE Asian Solid-State Circuits Conference ( A-SSCC\, Emerging Technologies\, and Applications Subcommittee Chair)\, an d Steering Committee Member of IEEE Transactions on Biomedical Circuits an d Systems (TBioCAS). He is also an Analog Signal Processing Technical Comm ittee Member of IEEE Circuits and Systems Society and was an Associate Edi tor of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and IEEE Open Journal of Solid-State Circuits Society (OJ-SSCS).\n\nSpeaker(s) : Prof. Jerald Yoo\n\nAgenda: \n11:00am - 12:00pm: Professional/Career Sem inar\n\nRoom: JFCC-119\, Bldg: Jones Farm Conference Center\, 2111 NE 25t h Ave\, Hillsboro\, Oregon\, United States\, 97124\, Virtual: https://even ts.vtools.ieee.org/m/507435 LOCATION:Room: JFCC-119\, Bldg: Jones Farm Conference Center\, 2111 NE 25t h Ave\, Hillsboro\, Oregon\, United States\, 97124\, Virtual: https://even ts.vtools.ieee.org/m/507435 ORGANIZER:rdorrance@ieee.org SEQUENCE:27 SUMMARY:IEEE SSCS Oregon Chapter November Meeting and Seminar #1 (Hybrid) URL;VALUE=URI:https://events.vtools.ieee.org/m/507435 X-ALT-DESC:Description: <br /><p><span style="text-decoration: underline\; color: #000000\;">IEEE SSCS Oregon Chapter November Meeting and Seminar #1 </span></p>\n<p><span style="color: #000000\;">Join us for a talk from SSC S Distinguished Lecturer Prof. Jerald Yoo from Seoul National University o n Thursday\, November 13th\, 2025. The seminar will be held from 11:00am t o 12:00pm (PST) via a Hybrid format. Please register for the meeting link and information.</span></p>\n<p>&nbsp\;</p>\n<p><span style="color: #00000 0\;">Topic:</span></p>\n<p>On-Chip Epilepsy Detection: Where Machine Learn ing Meets Patient-Specific Wearable Healthcare</p>\n<p>&nbsp\;</p>\n<p><sp an style="color: #000000\;">Abstract:</span></p>\n<p>Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worl dwide. Yet current seizure/epilepsy detection and treatment mainly rely on a physician interviewing the subject\, which is not effective in infant/c hildren group. Moreover\, patient-to-patient and age-to-age variation on s eizure pattern make such detection particularly challenging. To expand the beneficiary group to even infants and also to effectively adapt to each p atient\, a wearable form-factor\, the patient-specific system with machine learning is of crucial. However\, the wearable environment is challenging for circuit designers due to unstable skin-electrode interface\, huge mis match\, and static/dynamic offset.</p>\n<p>This lecture will cover the des ign strategies of patient-specific epilepsy detection System-on-Chip (SoC) . We will first explore the difficulties\, limitations\, and potential pit falls in wearable interface circuit design and strategies to overcome such issues. Starting from a one op-amp instrumentation amplifier (IA)\, we wi ll cover various IA circuit topologies and their key metrics to deal with offset compensation. Several state-of-the-art instrumentation amplifiers t hat emphasize on different parameters will also be discussed. Moving on\, we will cover the feature extraction and the patient-specific and patient- independent classification using Machine Learning technique. Finally\, an on-chip epilepsy detection and recording sensor SoC will be presented\, wh ich integrates all the components covered during the lecture. The lecture will conclude with interesting aspects and opportunities that lie ahead.</ p>\n<p>&nbsp\;</p>\n<p><span style="color: #000000\;">Speaker Biography:</ span></p>\n<p>Jerald Yoo (S&rsquo\;05-M&rsquo\;10-SM&rsquo\;15) received t he B.S.\, M.S.\, and Ph.D. degrees in Department of Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST)\, Dae jeon\, Korea\, in 2002\, 2007\, and 2010\, respectively. &nbsp\;From 2010 to 2016\, he was with the Department of Electrical Engineering and Compute r Science\, Masdar Institute\, Abu Dhabi\, United Arab Emirates\, where he was an Associate Professor. From 2010 to 2011\, he was also with the Micr osystems Technology Laboratories (MTL)\, Massachusetts Institute of Techno logy (MIT) as a visiting scholar. Between 2017 and 2024\, he was with the Department of Electrical and Computer Engineering\, National University of Singapore\, Singapore\, as an Associate Professor. Since 2024\, he has be en with the Department of Electrical and Computer Engineering\, Seoul Nati onal University\, where he is currently an Associate Professor. He has pio neered research on Body-Area Network (BAN) transceivers for communication/ powering and wearable body sensor network using the planar-fashionable cir cuit board for a continuous health monitoring system. He authored book cha pters in Biomedical CMOS ICs (Springer\, 2010)\, Enabling the Internet of Things&mdash\;From Circuits to Networks (Springer\, 2017)\, The IoT Physic al Layer (Chapter 8\, Springer\, 2019) and Handbook of Biochips (Biphasic Current Stimulator for Retinal Prosthesis\, Springer\, 2021). His current research interests include low-energy circuit technology for wearable bio- signal sensors\, flexible circuit board platform\, BAN for communication a nd powering\, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT)\, and System-on-Chip (SoC) design to system realization for wearabl e healthcare applications. Dr. Yoo is an IEEE Solid-State Circuits Society (SSCS) Distinguished Lecturer (2024-2025 and 2017-2018). He also served a n IEEE Circuits and Systems Society (CASS) Distinguished Lecturer (2019-20 21). He is the recipient or a co-recipient of several awards: IEEE Interna tional Solid-State Circuits Conference (ISSCC) 2020 and 2022 Demonstration Session Award (Certificate of Recognition)\, IEEE International Symposium on Circuits and Systems (ISCAS) 2015 Best Paper Award (BioCAS Track)\, IS CAS 2015 Runner-Up Best Student Paper Award\, the Masdar Institute Best Re search Award in 2015 and the IEEE Asian Solid-State Circuits Conference (A -SSCC) Outstanding Design Award (2005). He was the founding vice-chair of the IEEE SSCS United Arab Emirates (UAE) Chapter and is the chair of the I EEE SSCS Singapore Chapter. Currently\, he serves as an Executive Committe e as well as a Technical Program Committee Member of the IEEE Internationa l Solid-State Circuits Conference (ISSCC)\, ISSCC Student Research Preview (chair)\, and IEEE Asian Solid-State Circuits Conference (A-SSCC\, Emergi ng Technologies\, and Applications Subcommittee Chair)\, and Steering Comm ittee Member of IEEE Transactions on Biomedical Circuits and Systems (TBio CAS). He is also an Analog Signal Processing Technical Committee Member of IEEE Circuits and Systems Society and was an Associate Editor of IEEE Tra nsactions on Biomedical Circuits and Systems (TBioCAS) and IEEE Open Journ al of Solid-State Circuits Society (OJ-SSCS).</p><br /><br />Agenda: <br / ><p>11:00am - 12:00pm: Professional/Career Seminar</p> END:VEVENT END:VCALENDAR