Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

Jonghwa Park

Postdoctoral Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
PostDoc 2023

Nicole Qing

Undergraduate Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
B.S. 2024 (Anticipated)

Wearable Humidity Sensor for Continuous Sweat Rate Monitoring

Ashwin Aggarwal
Manik Dautta
Luis Fernando Ayala-Cardona
Aalaya Wudaru
Ali Javey
2023
The rapid advancements in wearable technologies are allowing for personal and tailored monitoring systems for core bodily metrics. Modern smartwatches accurately and frequently stream physical signals such as heart rate and respiratory rate. However, smartwatches have yet to track a multitude of physiological parameters, including sweat rate. This work presents a new wearable device that tracks sweat rate, the body's most important thermoregulatory function. The device is tape-free and utilizes an off-the-shelf humidity sensor, with the potential to be integrated with existing smartwatch...

Sorour Darvishi

Postdoctoral Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
PostDoc 2023

BPN946: Sensor for Natural Sweat Analysis

Sorour Darvishi
2023

Wearable sweat sensors have emerged as attractive platforms for non-invasive health monitoring. While most sweat sensors have relied on exercise or chemical stimulation to generate sweat, natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and even sedentary activity without impeding user lifestyles, while also potentially preserving correlations between sweat and blood biomarkers. For rapid accumulation of natural sweat that enables quick, single-point measurement of sweat analytes, we develop a simple, skin-attachable sensing platform to...

BPN979: Developing Sweat Rate Sensors Using New Sensing Modalities

Ashwin Aggarwal
Manik Dautta
Luis Fernando
Ayala Cardona
2023

The skin surface naturally secretes sweat for thermoregulation during sedentary and physical activities at varying rates, which can sometimes indicate underlying health conditions such as nerve damages or metabolic disorders. As measuring low secretion rates poses a challenge for traditional microfluidic devices, we present new ways to collect such sweat rates precisely.

Project ended: 08/01/2023

BPN931: Multiplexed Electroluminescent Device for Emission from Infrared to Ultraviolet Wavelength

Vivian Wang
2023

Using electroluminescence as a metrology method could have many advantages for on-chip characterization of chemical composition, where the need for an on-chip light source can be eliminated and materials with different excitation energies can be characterized by the same device. However, the range of materials that can be used in electroluminescent devices is typically limited due to challenges related to material processing and band alignment. In this project, we aim to develop a multiplexed electroluminescent device that can produce electroluminescence from infrared to ultraviolet...

Ashwin Aggarwal

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
M.S. 2023

Ashwin received his B.A. in Computer Science from UC Berkeley in 2022 and is currently pursuing a research-based Masters in Electrical Engineering and Computer Science under the supervision of Ali javey. His research is focused on building novel modalities for capturing sweat rate. In addition, he employs data science techniques and analysis to supplement these sensors. On the side, Ashwin enjoys building websites & mobile applications and playing tennis.

Low Dimensional Materials for Next Generation Electronics

Steven Chuang
Ali Javey
2014

Ever since the invention of the transistor, aggressive channel length scaling has been pursued to achieve higher performance and greater packing density. In order to preserve gate control at short channel lengths, the transistor channel has evolved from bulk to low dimensional substrates, such as 2D thin films and 1D nanowires. For scaling to continue, it is vital that we understand the processing and physics of low dimensional materials.

Chapter 2 focuses on quasi-2D ultrathin body InAsSb-on-insulator n-FETs. III-V materials offer high mobilities for excellent on-state currents,...

Vivian Wang

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2023

Vivian Wang received a B.S. in Electrical Engineering from Stanford Univeristy in 2017 and a M.Phil. in Physics from the University of Cambridge in 2018. She is currently pursuing a Ph.D. in Electrical Engineering and Computer Sciences at UC Berkeley under the supervision of Prof. Ali Javey.