Olivia Addington

California Institute of Technology

Papers

1

Total Citations

4

H-Index

1

About

Olivia Addington is a rising leader in integrated magnetic sensing, whose work pushes the boundaries of low-power, high-sensitivity Hall-effect sensors. Her key research areas span monolithic 3D magnetic sensor design, CMOS-compatible sensor architectures, and ultra-low-noise analog front-ends for portable and IoT applications. Her most notable contribution is the demonstration of a fully monolithic 3D magnetic sensor fabricated in standard 65nm CMOS, achieving an impressive noise floor below 10 μT<sub>rms</sub> while consuming only 14.8 μW of power—a breakthrough that enables accurate triaxial magnetic field sensing in energy-constrained devices. This work, published in 2023 and already garnering early citations, addresses a critical gap in integrating high-performance 3D Hall sensors without external components. Addington’s research has direct implications for automotive navigation, robotics, medical implants, and consumer electronics, where size, power, and precision are paramount. Her achievements highlight her ability to translate fundamental sensor physics into practical, scalable CMOS solutions, marking her as a promising innovator in the field of microelectromechanical systems and solid-state sensing.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Monolithic 3D Magnetic Sensor in 65nm CMOS with &lt;10μT<sub>rms</sub> Noise and 14.8μW Power
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: California Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago