Ana Claudia Arias
· Professor, EE Division ChairUniversity of California, Berkeley · Department of Electrical Engineering and Computer Sciences
Active 1965–2025
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About
Ana Claudia Arias is a Professor in the EE Division at UC Berkeley and serves as the Chair of the department. She received her PhD in Physics from the University of Cambridge, UK, in 2001, and her master’s and bachelor’s degrees in Physics from the Federal University of Paraná in Curitiba, Brazil, in 1997 and 1995 respectively. Prior to joining UC Berkeley in January 2011, she was the Manager of the Printed Electronic Devices Area and a Member of Research Staff at PARC, a Xerox Company, and led the semiconductor group at Plastic Logic in Cambridge, UK. Her research focuses on the use of electronic materials processed from solution in flexible electronic systems, employing printing techniques to fabricate large-area electronic devices and sensors. Her work aims to advance the development of flexible and printed electronics, contributing to the fields of physical electronics and power and energy. She has been recognized as an IEEE Fellow and a Fellow of the National Academy of Inventors in 2025, among other honors.
Research topics
- Computer Science
- Materials science
- Nanotechnology
- Electrical engineering
- Embedded system
- Artificial Intelligence
- Biology
- Optoelectronics
- Chemistry
- Physics
Selected publications
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
Nature Electronics · 2020 · 656 citations
A potentiometric mechanotransduction mechanism for novel electronic skins
Science Advances · 2020 · 121 citations
Senior authorCorrespondingHuman skin perceives external mechanical stimuli by sensing the variation in the membrane potential of skin sensory cells. Many scientists have attempted to recreate skin functions and develop electronic skins (e-skins) based on active and passive sensing mechanisms. Inspired by the skin sensory behavior, we investigated materials and electronic devices that allow us to encode mechanical stimuli into potential differences measured between two electrodes, resulting in a potentiometric mechanotran…
Large‐Area Fabrication of High‐Performance Flexible and Wearable Pressure Sensors
Advanced Electronic Materials · 2020 · 88 citations
Senior authorCorrespondingAbstract Flexible pressure sensors with high sensitivity, broad working range, and good scalability are highly desired for the next generation of wearable electronic devices. However, manufacturing of such pressure sensors still remains challenging. A large‐area compliant and cost‐effective process to fabricate high‐performance pressure sensors via a combination of mesh‐molded periodic microstructures and printed side‐by‐side electrodes is presented. The sensors exhibit low operating voltage (1…
Wireless ear EEG to monitor drowsiness
Nature Communications · 2024-08-02 · 58 citations
articleOpen accessNeural wearables can enable life-saving drowsiness and health monitoring for pilots and drivers. While existing in-cabin sensors may provide alerts, wearables can enable monitoring across more environments. Current neural wearables are promising but most require wet-electrodes and bulky electronics. This work showcases in-ear, dry-electrode earpieces used to monitor drowsiness with compact hardware. The employed system integrates additive-manufacturing for dry, user-generic earpieces, existing w…
Stencil-printed Lithium-ion micro batteries for IoT applications
Nano Energy · 2020 · 57 citations
Senior authorCorresponding
Recent grants
NIH · $419k · 2015
NSF · $360k · 2016–2019
NSF · $360k · 2012–2015
Frequent coauthors
- 27 shared
Yasser Khan
- 25 shared
C. Heske
Karlsruhe Institute of Technology
- 25 shared
Robert F. Cook
- 25 shared
Yang Shu
Second Hospital of Shanxi Medical University
- 21 shared
Michael Lustig
- 19 shared
Jonathan Ting
University of California, Berkeley
- 19 shared
R. A. Street
Palo Alto Research Center
- 19 shared
Rikky Muller
Education
- 2003
B.S., Electrical Engineering
National University of Engineering (Universidad Nacional de Ingeniería)
- 2005
M.S., Electrical Engineering and Computer Sciences
University of California, Berkeley
- 2010
Ph.D., Electrical Engineering and Computer Sciences
University of California, Berkeley
Awards & honors
- IEEE Fellow (2025)
- National Academy of Inventors (NAI) Fellow (2025)
- Tampere University Honorary Doctorate (2022)
- NAE Gilbreth Lectureship (2017)
- FLEXI R&D Achievements Award (2017)
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