Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

I K M Reaz Rahman

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2026

I K M Reaz Rahman is a Ph.D. candidate in the Electrical Engineering and Computer Sciences department at UC Berkeley, working under the supervision of Professor Ali Javey. He received a Master’s degree in 2020 and a Bachelor’s degree in 2017, both in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology.

Before joining UC Berkeley, Reaz worked on modeling of nanoscale transistors and their impact with scaling. At present, his focus is on characterization of optoelectronic properties in low-dimensional systems.

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Seung-Rok Kim

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

Seung-Rok Kim is a postdoctoral research associate in Electrical Engineering and Computer Sciences at the University of California, Berkeley, a postdoctoral researcher at Berkeley Sensor & Actuator Center (BSAC), and a research affiliate in the Materials Science Division at Lawrence Berkeley National Laboratory with a joint appointment. He received a Ph.D. in Materials Science and Engineering from Yonsei University in 2021, and was a postdoctoral research associate and research professor at Yonsei University in 2021 and 2023. Seung-Rok Kim then joined Javey...

Scalable Multiplexed Machine Learning Gas Sensor Chips for Food Classification

Carla Bassil
Kichul Lee
Xun Liao
Divya N. Kashyap
Yifei Zhan
Theodorus Jonathan Wijaya
Edward Hester
Minhyun Kim
Il-Doo Kim
Inkyu Park
Ali Javey
2026

Multiplexed gas sensor arrays combined with machine learning have unlocked previously inaccessible applications for scent-based sensing. Current platforms are limited by overlapping sensing materials with similar compositions, leading to highly correlated responses, or multistep deposition processes that hinder scalability. In this work, we developed a 16-element monolithic chip with fully distinct sensing layers, enabling a truly heterogeneous array. The system consists of highly sensitive carbon nanotube field effect transistors that are functionalized through a single-step...

Carla Bassil

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2028 (Anticipated)

Carla Bassil is a 3rd year EECS PhD student in Prof. Ali Javey's lab. She works on multi-modal gas sensing technology and platforms for food safety, human health, and environmental monitoring applications. Carla earned her MS in Business from May's Business School and her BS in Biomedical Engineering from Texas A&M University. She is passionate about working on translational research and hopes to pursue entrepreneurial endeavors following the completion of her degree.

BSAC Fall 2025...

Javey Lab: Electronic Nose Surpasses the Sniff Test

June 17, 2026
Machine learning-powered electronic nose classifies food spoilage and allergens with 92.6% accuracy.
An “electronic nose” created by UC Berkeley researchers can detect the gases produced by spoiled food and food allergens better than human noses.

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Dorottya Urmossy

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
M.S. 2026; Ph.D. 2028 (Anticipated)

BSAC Researcher Carla Bassil Wins Berkeley Grad Slam Award

April 22, 2026
Following campus and UC-wide victories, Bassil represents Berkeley at the June 10 Ivy Plus Three-Minute Thesis


Carla Bassil, a graduate student researcher in BSAC Co-Director Ali Javey’s group, has earned top honors in the 2026 Grad Slam competitions for her work on integrated sensor technology. After winning first place at the UC Berkeley campus competition, Bassil represented the university at the UC-wide Grad Slam on April 22, where she placed second among champions...

BSAC's Best: Fall 2025 Awards Announced

September 24, 2025

BSAC is pleased to announce the recipients of the Outstanding Paper and Presentation Awards from the Fall 2025 Research Review, held on September 24.

The Industrial Advisory Board was highly impressed by the depth and quality of research presented this year. Among a field of exceptional work, the award recipients distinguished themselves through innovation, technical rigor, and clear communication.

We extend our sincere appreciation to all BSAC Researchers for sharing their groundbreaking projects - each contribution advances discovery and strengthens...