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Research Interests

High-frequency and chip-scale power electronics; photovoltaic and electrochemical system management; sensor interfaces and energy scavenging; integrated circuit design (analog/mixed signal, RF, power, and embedded applications); communications electronics; technology entrepreneurship

Education

  • BA, Physics, Colby College 1999
  • BE, Engineering Sciences, Dartmouth 2000
  • MS, Electrical Engineering, UC Berkeley 2006
  • PhD, Electrical Engineering, UC Berkeley 2008

Selected Publications

Patents

  • Systems and methods for characterizing impedance of an energy storage device | 10393818
  • System and method for reducing power loss in switched-capacitor power converters | 9793794
  • System and method for reducing power loss in switched-capacitor power converters copy | 9660523

Courses

  • ENGS 32: Electronics: Introduction to Linear and Digital Circuits
  • ENGG 199.14: High Frequency and Switching Electronic Circuits
  • ENGS 125: Power Electronics and Electromechanical Energy Conversion
  • ENGS 61: Intermediate Electrical Circuits

Videos

Seminar: Small-Scale Electronics for Large-Scale Energy

Dartmouth Undergrads in the Lab: Solar Panel Efficiency

Research Quick Takes

miniaturized low-power, high-voltage step-up ratio capacitive load driver

Feb 27, 2025

IEEE Predoctoral Achievement Award

PhD candidate Yanqiao Li, advised by Professor Jason Stauth, received the 2024–25 IEEE Solid State Circuits Society (SSCS) Predoctoral Achievement Award, their highest honor for PhD students, at the IEEE International Solid-State Circuits Conference (ISSCC) in San Francisco. The award recognizes Li's research on "miniaturized low-power, high-voltage step-up ratio capacitive load drivers" which enable microrobots to be fully autonomous and energy-efficient for medical, consumer, and industrial automation, as well as for haptics, printing, and ultrasound applications.

Bahlakoana Mabetha and Yanqiao Li

Aug 01, 2024

NSF National I-Corps Team "uDrive"

PhD students Bahlakoana Mabetha and Yanqiao Li—mentored by Google Research Scientist Hong Tan and advised by Professor Jason Stauth—were awarded $50,000 from the National Science Foundation’s Innovation Corps (I-Corps™) National Teams training program. After developing small, efficient integrated circuits, Li and Mabetha formed "uDrive" to commercialize their novel high-voltage low-power drivers for haptics that can solve key challenges in human-machine interactions through the sense of touch. They attended three trade shows and interviewed over 100 industry experts during the eight-week program.