2 DL Talks at NUS on 27th Sept
Contact: Jiang Wenyu wjiang@i2r.a-star.edu.sg
Back-to-Back SSCS Distinguished Lecture Series on
Talk 1: "On-Chip Epilepsy Detection: Where Machine Learning Meets Wearable, Patient-Specific Seizure Monitoring"
by Associate Professor Jerald Yoo, National University of Singapore
and
Talk 2: "High performance MEMS Gyroscope"
by Associate Professor Yong Ping Xu, National University of Singapore
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Jointly Organized by
IEEE Solid-State Circuits Singapore Chapter and
IEEE Sensors Council Singapore Section Chapter
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When: 27th September 2018 (Thursday)
Where: Engineering Block E3, #06-01 (Dept of ECE, NUS)
2 Engineering Drive 3, Singapore 117851.
Time: 10:45am – 2:15pm
Talk 1: 10:45am-12pm, Talk 2: 1-2:15pm
Light lunch (12-1pm) provided by Sensors Council Singapore Chapter
Admission: Free for all. Register at https://tinyurl.com/sscssg-twindl by 25th Sep 2018.
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A NOT-TO-BE-MISSED twin event!
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Abstract for Talk 1:
Epilepsy is a severe and chronic neurological disorder that affects over 65 million people worldwide. Yet current seizure/epilepsy detection and treatment largely relies 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 makes such detection particularly challenging. To expand the beneficiary group to even infants, and also to effectively adapt to each patient, a wearable form-factor, patient-specific system with machine learning is of crucial. However, the wearable environment is challenging for circuit designers due 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. We will first explore the difficulties, limitations and potential pitfalls in wearable interface circuit design, and strategies to overcome such issues. Starting from a 1 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 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.
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About the Instructor for Talk 1:
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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. Since 2017, he has been with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore, where he is currently an Associate Professor. 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. He has developed low-energy body-area-network (BAN) transceivers and wearable body sensor network using the planar-fashionable circuit board for continuous health monitoring system. He has authored book chapters in Biomedical CMOS ICs (Springer, 2010) and in Enabling the Internet of Things—From Circuits to Networks (Springer, 2017). His current research interests include low-energy circuit technology for wearable bio signal sensors, flexible circuit board platform, BAN transceivers, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT) and System-on-Chip (SoC) design to system realization for wearable healthcare applications. Dr. Yoo is the recipient or a co-recipient of several awards: the IEEE International 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 Awards (2005). He was the Vice Chair of IEEE Solid-State Circuits Society (SSCS) United Arab Emirates (UAE) Chapter. Currently, he serves as a Technical Program Committee Member of the IEEE A-SSCC, IEEE Custom Integrated Circuits Conference (CICC), and the IEEE International Solid-State Circuits Conference (ISSCC) Student Research Preview (SRP). He is also an Analog Signal Processing Technical Committee Member of IEEE Circuits and Systems Society.
Abstract for Talk 2:
MEMS inertial sensors, namely accelerometer and gyroscope, can be found in many applications, such as gaming, mobile phones and robots. However, MEMS inertial sensors have not been widely seen in high-end applications, such as inertial navigation. This is mainly due to the stability limitation of the MEMS inertial sensors, arising from various noises in the system. In this talk, I will present a high-performance MEMS gyroscope with a CMOS readout circuit, which demonstrates a sub-0.10/h bias-instability. The talk will focus on the CMOS readout circuit design.
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About the Instructor for Talk 2:
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Yong Ping Xugraduated from Nanjing University in 1977 and received his PhD in Electrical Engineering from the University of New South Wales, Australia, in 1994. He was a Lecturer at University of South Australia, Adelaide, from 1996 to 1998. He joined the Department of Electrical & Computer Engineering, National University of Singapore (NUS) in 1998 and is now an Associate Professor. His research interests include integrated circuit design for MEMS, sensors, and biomedical applications. Dr Xu is a member of Technical Program Committee of 2017 Symposium on VLSI Circuits (VLSI). He served ITPC of IEEE International Solid-State Circuits Conference (ISSCC) from 2014 to 2018 and the TPC of IEEE Asian Solid-State Circuits Conference (A-SSCC) from 2009 to 2013. He was the Organizing Committee Chair for A-SSCC 2013 in Singapore and has been a member of A-SSCC Steering Committee since 2014. Dr Xu is a Distinguished Lecturer of IEEE Solid-State Circuits Society (2017and 2018)
Department of Electrical & Computer Engineering
Building E3 Location Map & Directions
By driving: closest car parks are at CP2 and CP2A
By MRT: take CC line to Kent Ridge station, change to NUS shuttle A1 and alight at Central Library
By bus, NUS shuttle or Science Park shuttle: alight at Computer Centre or Central Library
Contact: Jiang Wenyu wjiang@i2r.a-star.edu.sg
