Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

Kyuho Lee

Visiting Scholar Researcher
Chemical and Biomolecular Engineering
Professor Ali Javey (Advisor)
Visiting Scholar 2022-2023

Kyeongjae Byeon

Visiting Scholar Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Visiting Scholar 2024

Theodorus Jonathan Wijaya

Visiting Scholar Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2026 (Anticipated)

Theodorus is a Ph.D. candidate at The University of Tokyo and a visiting researcher in the Javey group at UC Berkeley for two years. His research focuses on solution-processed optoelectronic devices as part of a collaboration between the Javey group and the Someya group at The University of Tokyo, aiming to develop flexible mid-infrared electronics and explore their biomedical applications. He earned his B.Eng. and M.Eng. from The University of Tokyo in 2021 and 2023, respectively, with research experience in spintronics, solar cells, and organic electronics.

Shifan Wang

Visiting Scholar Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Visiting Scholar Researcher 2024

Hanna Schlegel

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2029 (Anticipated)

Javey Lab: Electrodermal Activity as a Proxy for Sweat Rate Monitoring during Physical and Mental Activities

April 14, 2025
Don’t sweat it! Wearable sweat sensor can track your hydration status during physical and mental activities April 15, 2025 by Marni Ellery

Multimodal sweat sensor - Javey Group 2025

Dehydration can sneak up on you. Whether you’re out jogging or sitting at a desk, it’s easy to lose track of your fluid intake. But a new, tiny sweat sensor may soon solve this problem. Designed by UC Berkeley researchers, this...

https://engineering.berkeley.edu/news/2025/04/dont-sweat-it/?utm_source=Berkeley…

Electrodermal Activity as a Proxy for Sweat Rate Monitoring During Physical and Mental Activities

Seung-Rok Kim
2025
Spring 2025 BSAC Research Review Presentation View Slides Project: BPNX1024 - Professor Ali Javey Group

BPNX1051: Multifunctional Smart Contact Lens Sensing Platform (New Project)

Yifei Zhan
2025

The evolution of contact lens technology is rapidly transforming these simple vision-correcting devices into advanced, multifunctional platforms. By embedding innovative sensor technologies onto contact lenses, it becomes possible to continuously monitor a person’s own well-being in a comfortable and non-invasive way. In this work, we explore the possibility of creating a multifunctional smart contact lens sensing platform that can one day help people easily track important health information, offering new ways to stay connected with their bodies without interrupting daily life.

...

BPNX1044: Exploring Tellurium Compound‐Based p‐Type Channels for Various Functionalities (New Project)

Taehoon Kim
I K M Reaz Rahman
Naoki Higashitarumizu
Inha Kim
Hyong Min Kim
Shu Wang
2025

​Tellurium-based materials (tellurides) are promising materials for p-channel transistors due to their compatibility with various elements and deposition methods. This versatility facilitates integration into diverse device architectures and enables the implementation of tailored electrical, thermal, optical, and structural properties. We investigate tellurium-based materials and their deposition techniques to optimize these multifaceted characteristics for advanced electronic applications.

Project is currently funded by: Federal

BPNX1045: Scalable Bipolar Photodiodes for In-Sensor Spectral Computation (New Project)

Jamie Geng
Dehui Zhang
Dorottya Urmossy
2025

Machine learning enabled spectrometry has the potential to revolutionize fields like agriculture, field biology, and chemical metrology by allowing the identification of different targets in space via a spectral fingerprint. For example, fields of diseased crops requiring pesticides may show different reflectance spectra compared to healthy plants. However, current methods using a standard spectrometer and off-chip computer must acquire, transmit, then process complete reflectance or transmittance spectra, known as a hypercube, for every point of interest in space. This is costly in terms...