The Distinguished Lecture on “Energy-E fficient Energy Harvesting Systems for the Internet of Things” will take place as follows:
Date: 08 September 2025 (Monday)
Time: 09:30 – 10:30
Venue: Research Building N21, G/F, G013
The speaker is:
Dr. YUE Xinling, Postdoctoral Researcher, ETH Zurich, Switzerland
The Lecture is:
Energy-E fficient Energy Harvesting Systems for the Internet of Things
Abstract:
As the Internet of Things (IoT) continues to expand in both the number and diversity of devices, ensuring long-term, maintenance-free power remains a significant and unresolved challenge. Existing solutions often prioritize energy efficiency at the cost of reduced performance to prolong battery life. While batteries remain widely used due to their high energy density, they are not ideal in applications where frequent recharging or replacement is impractical—such as in wearable electronics, biomedical implants, and remote sensing systems. To address these limitations, there is increasing interest in harvesting energy from the surrounding environment to power autonomous devices. This talk will present recent developments in energy-efficient integrated circuit design for energy harvesting systems, with a focus on enabling sustainable and reliable operation in low-power applications.
Biography:
Dr. YUE Xinling is a postdoctoral researcher at ETH Zurich in Switzerland. She earned her Ph.D. in 2025 from Delft University of Technology in the Netherlands. Her research centers on ultrasound-based wireless power transfer and data communication systems for biomedical implants. By harnessing ultrasound technology, her work enables efficient energy harvesting and reliable, low-power data transmission for applications such as in vivo drug delivery and neural stimulation. Dr. YUE has authored/coauthored over 30 technical publications, including four papers presented at the IEEE International Solid-State Circuits Conference (ISSCC) and five articles published in the IEEE Journal of Solid-State Circuits (JSSC). Her contributions have been recognized with several prestigious honors, including the Best Student Paper Award at the 2022 IEEE ICECS and the IEEE SSCS Predoctoral Achievement Award (2023–2024).
