October 2025 IEEE Oregon Section ExCom

The Avista Decision Support System: Better Operations and Planning Using Avista’s New Optimization/Simulation Technology – A Presentation Focused on Hydropower Capability

Clint Kalich graduated with a B.S. in Economics from Central Washington University. He is a published author: IEEE – Accommodating Wind’s Natural Behavior – IEEE Nov 1,2007

He is an Energy Resources Planning Advisor for Avista.

IEEE SSCS Oregon Chapter November Meeting and Seminar #1

Join us for a talk from SSCS Distinguished Lecturer Prof. Jerald Yoo from Seoul National University on Thursday, November 14th, 2025. The seminar will be held from 11:00am to 12:00pm (PST) via a Hybrid format. Please register for the meeting link and information.

Topic:

On-Chip Epilepsy Detection: Where Machine Learning Meets Patient-Specific Wearable Healthcare

Abstract:

Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worldwide. Yet current seizure/epilepsy detection 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 particularly challenging. To expand the beneficiary group to even infants and also to effectively adapt to each patient, 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 mismatch, and static/dynamic offset.

This lecture will cover the design strategies of patient-specific epilepsy 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 instrumentation 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 the patient-specific and patient-independent classification using Machine Learning technique. Finally, an on-chip epilepsy detection and recording sensor 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.

Speaker Biography:

Jerald Yoo (S’05-M’10-SM’15) received the B.S., M.S., and Ph.D. degrees in Department of Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2002, 2007, and 2010, respectively.  From 2010 to 2016, he was with the Department of Electrical Engineering and Computer Science, Masdar Institute, Abu Dhabi, United Arab Emirates, where he was an Associate Professor. From 2010 to 2011, he was also with the Microsystems Technology Laboratories (MTL), Massachusetts Institute of Technology (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 been with the Department of Electrical and Computer Engineering, Seoul National University, where he is currently an Associate Professor. He has pioneered research on Body-Area Network (BAN) transceivers for communication/powering and wearable body sensor network using the planar-fashionable circuit board for a continuous health monitoring system. He authored book chapters in Biomedical CMOS ICs (Springer, 2010), Enabling the Internet of Things—From Circuits to Networks (Springer, 2017), The IoT Physical 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 and powering, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT), and System-on-Chip (SoC) design to system realization for wearable healthcare applications. Dr. Yoo is an IEEE Solid-State Circuits Society (SSCS) Distinguished Lecturer (2024-2025 and 2017-2018). He also served an IEEE Circuits and Systems Society (CASS) Distinguished Lecturer (2019-2021). He is the recipient or a co-recipient of several awards: IEEE International 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), ISCAS 2015 Runner-Up Best Student Paper Award, the Masdar Institute Best Research 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 IEEE SSCS Singapore Chapter. Currently, he serves as an Executive Committee as well as a Technical Program Committee Member of the IEEE International Solid-State Circuits Conference (ISSCC), ISSCC Student Research Preview (chair), and IEEE Asian Solid-State Circuits Conference (A-SSCC, Emerging Technologies, and Applications Subcommittee Chair), and Steering Committee Member of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS). He is also an Analog Signal Processing Technical Committee Member of IEEE Circuits and Systems Society and was an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) and IEEE Open Journal of Solid-State Circuits Society (OJ-SSCS).

Strategic Capital Planning Utilizing Copperleaf and HydroAmp Software