Fundamentals and Analogies for Ultra-Low-Power IC Design
Numerous sensor applications call for integrated sensors and ultra-low-power microelectronics that can function in harsh, isolated environments without the need for or replacement of power sources (such as batteries). As a result, these sensors and systems need to be extremely energy-efficient or self-powered while still delivering the required functionality and performance. Although the most energy-efficient sensors and electronics are used, the operating lifetime of these systems is constrained because the amount of energy stored on these power sources is limited. This restriction could only be eased if environmental energy is "efficiently" harvested to support the power sources used.
In this talk, the "Supply Boosting Technique (SBT)" will be introduced as a low-power/low-voltage integrated circuit (IC) design technique, from conceptualization (using analogies) to its use in ultra-low-power systems such as analog-to-digital converters (ADCs) and self-powered CMOS image sensors.
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- 100 INSTITUTE RD
- Worcester, Massachusetts
- United States 01609-2280
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Fundamentals and Analogies for Ultra-Low-Power IC Design
Numerous sensor applications call for integrated sensors and ultra-low-power microelectronics that can function in harsh, isolated environments without the need for or replacement of power sources (such as batteries). As a result, these sensors and systems need to be extremely energy-efficient or self-powered while still delivering the required functionality and performance. Although the most energy-efficient sensors and electronics are used, the operating lifetime of these systems is constrained because the amount of energy stored on these power sources is limited. This restriction could only be eased if environmental energy is "efficiently" harvested to support the power sources used.
In this talk, the "Supply Boosting Technique (SBT)" will be introduced as a low-power/low-voltage integrated circuit (IC) design technique, from conceptualization (using analogies) to its use in ultra-low-power systems such as analog-to-digital converters (ADCs) and self-powered CMOS image sensors
Biography:
Dr. Ay received his M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California (USC), Los Angeles, CA, in 1997 and 2004, respectively. Between 1997 and 2007, he was employed as a VLSI Design Engineer in the semiconductor industry, with a focus on designing CMOS image sensors and analog/mixed-signal integrated circuits (ICs) and systems. He joined the Department of Electrical and Computer Engineering department at University of Idaho, Moscow, Idaho (USA) in 2007 as Assistant Professor and was promoted to Associate Professor in 2013. He joined the Electrical and Computer Engineering department of WPI in early 2024.
His research focuses on designing reconfigurable, secure, and robust electro-optical circuits and systems, analog and mixed-signal VLSI integrated circuits (ICs) for new classes of baseband and RF systems, intelligent sensors and microsystems, self-sustaining and smart CMOS sensors for wireless systems, Internet of Things (IoT) systems, implantable biomedical devices, and micro/nano fluidic devices, as well as next-generation CMOS image sensors.
He is a senior member of the IEEE, and member of SPIE societies.
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