Ali Javey (Advisor)

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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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 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...