“Minimum-Energy-Driven Embedded Memory Design for IoT Applications” by Associate Professor Tony Tae-Hyoung Kim, PhD, Nanyang Technological University, Singapore.  IEEE Distinguished Lecturer.

Date:  April 30, 2022 (Saturday)
Time:  10:00 hrs till 11:00 hrs (UTC+8)
Google Meet:  https://meet.google.com/pbf-fptf-hvv
RSVP:  https://forms.gle/MWesovJbgoaRVqwv5

All are cordially invited to attend.  Admission is FREE.

Abstract

Various battery-powered ultra-low power applications such as Internet-of-Things (IoT), wearable devices, biomedical devices, and tiny machine learning have opened up a new domain of integrated circuits design. In these applications, minimizing energy is the most critical research focus. Since embedded memories, dominated by SRAMs, occupy substantial power and energy in the IoT devices, designing energy-efficient embedded memories is a critical task for enhancing the lifetime of IoT devices. In this talk, I will present the basics in ultra-low power SRAMs followed by state-of-the-art ultra-low power SRAM design techniques. Several emerging applications of SRAM will also be introduced. Finally, I will discuss future directions in ultra-low power embedded memory for IoT applications.

Speaker

Dr Tony Tae-Hyoung Kim (Senior Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Korea University, Seoul, South Korea, in 1999 and 2001, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Minnesota, Minneapolis, MN, USA, in 2009. From 2001 to 2005, he was with Samsung Electronics, Hwasung, South Korea. In 2009, he joined Nanyang Technological University, Singapore, where he is currently an Associate Professor. He has published over 190 papers in journals and conferences and holds 20 U.S. and Korean patents registered. His current research interests include computing-in-memory for machine learning, ultra-low power circuits and systems for smart edge computing, low-power and high-performance digital, mixed-mode, and memory circuit design, variation-tolerant circuits and systems, and emerging memory circuits for neural networks. Dr. Kim received IEEE ISSCC Student Travel Grant Award in 2022 and 2019, Best Paper Award (Gold Prize) in IEEE/IEIE ICCE-Asia2021, Korean Federation of Science and Technology (KOFST) Award in 2021, Best Demo Award at APCCAS2016, Low Power Design Contest Award at ISLPED2016, Best Paper Awards at 2014 and 2011 ISOCC, AMD/CICC Student Scholarship Award at IEEE CICC2008, DAC/ISSCC Student Design Contest Award in 2008, Samsung Humantech Thesis Award in 2008, 2001, and 1999, and ETRI Journal Paper of the Year Award in 2005. He was the Chair of the IEEE Solid-State Circuits Society Singapore Chapter in 2015-2016 and is Chair-Elect/Secretary of the IEEE Circuits and Systems Society VSATC. He has served on numerous IEEE conferences as a Committee Member. He serves as a Corresponding Guest Editor for the IEEE JOURNAL on EMERGING and SELECTED TOPICS in CIRCUITS and SYSTEMS (JETCAS), a Guest Editor for the IEEE TRANSACTIONS on BIOMEDICAL CIRCUITS and SYSTEMS (TBioCAS), an Associate Editor for the IEEE TRANSACTIONS ON VERY LARGE-SCALE INTEGRATION (VLSI) SYSTEMS and IEEE ACCESS.