IEEE CASS-EDS-SSCS & SOEI-HUST Joint Technical Seminar “Highly Efficient and Miniaturized Power Management Designs for Autonomous Sensing Applications”

#Power #Management,Autonomous #Sensing
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While the Internet of Things (IoT) continues to expand in both number and variety of deployed devices, keeping them powered unobtrusively is an unmet need. Practical systems have concentrated on device efficiency, often reducing function and/or performance so that the battery or device replacement cycle can be lengthened. While batteries have remained the primary energy sources due to their energy density, they are very impractical due to the requirements for periodic recharging and/or replacements in certain sensing contexts requiring the operation of such systems over a significant period of time, including autonomous sensors, biomedical implants and wearable electronics. In order to address this challenge and extend the operational lifetime, there has been an emerging research interest to harvest energy from environmental energy. In this talk, Dr. Du will introduce his research on designing energy harvesting devices, circuits & systems using CMOS and MEMS technologies for piezoelectric energy harvesting used in above-mentioned autonomous systems.



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  • Date: 19 Nov 2020
  • Time: 09:00 AM to 10:45 AM
  • All times are (UTC+08:00) Beijing
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  Speakers

Du Sijun

Topic:

“Highly Efficient and Miniaturized Power Management Designs for Autonomous Sensing Applications”

While the Internet of Things (IoT) continues to expand in both number and variety of deployed devices, keeping them powered unobtrusively is an unmet need. Practical systems have concentrated on device efficiency, often reducing function and/or performance so that the battery or device replacement cycle can be lengthened. While batteries have remained the primary energy sources due to their energy density, they are very impractical due to the requirements for periodic recharging and/or replacements in certain sensing contexts requiring the operation of such systems over a significant period of time, including autonomous sensors, biomedical implants and wearable electronics. In order to address this challenge and extend the operational lifetime, there has been an emerging research interest to harvest energy from environmental energy. In this talk, Dr. Du will introduce his research on designing energy harvesting devices, circuits & systems using CMOS and MEMS technologies for piezoelectric energy harvesting used in above-mentioned autonomous systems.

Biography:

Du Sijun is an assistant professor at Delft University of Technology, the Netherlands. He received the Ph.D. degree at University of Cambridge in 2017. After graduation, he joined UC Berkeley as a postdoctoral fellow. Since 2020, he joined the TU Delft as an assistant professor (tenure-track).

In the entire four years of undergraduate and postgraduate study periods, he was ranked the First in the department for each semester. After he joined the University of Cambridge for PhD, he spent less than three years to finish his research and thesis (normally four years are required). Based on his Ph.D. research, he published more than 40 journal & conference papers and 3 US patents, including first-authored publications in the top journal (IEEE JSSC) and top conference (ISSCC) in the Integrated Circuits industry. He presented the first ever ISSCC paper from the University of Cambridge in 2018.

His research interests include energy-efficient circuits and systems, energy harvesting, wireless power transfer, power management ICs, analog/digital signal processing and low-power communications used in autonomous wireless sensors for IoT, wearable electronics, biomedical devices and microrobots