The small form factor of Internet of Things (IoTs) sensor nodes places severe energy constraints on edge computing platforms. This talk will firstly discuss how an ultra low-power timer skews active and sleep duty-cycling that helps reduce active power, based on studies at IEEE ISSCC 2020, SSC-L 2019 and ESSCIRC 2019. In addition, energy harvesting interface circuits, based on IEEE TCAS-I and ECCTD publications in 2015, can effectively perform power conversion for battery-less operation of IoTs. Second, to meet energy sustainability of wearable EEG devices that carry out real-time signal acquisition and computing, a reliable power source is needed and wireless power transfer circuits that are published at IEEE TPEL 2019 and MWSCAS 2017 are discussed.

Philex Ming-Yan Fan received the M.S. degree from the National Chiao Tung University, Taiwan, in 2011 and the Ph.D. degree from the University of Cambridge, U.K., in 2019. His current and past research interests, across the National Chiao Tung University, University of Cambridge, Qualcomm and Arm Research, are ultra-low power analog circuits for edge-computing, wireless power transfer circuits for wearable and medical devices, and energy harvesting interface circuits for IoTs.