Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

Scaling Spectral Kernel Machines

Jamie Geng
2026
Fall 2026 BSAC Research Review Presentation View Presentation View Slides...

Jamie Geng

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

Jamie is a 4th year PhD student in Professor Ali Javey's group. She studies a variety of topics under the umbrella of optoelectronics, from novel emitter materials, to hardware for spectral machine learning. Her current work focuses on spectral kernel machines, which allow for cheap, fast, in-sensor spectral inference. She received her B.S. and M.Eng from MIT, where she worked on quantum dot LEDs.

BSAC Fall 2026 Research Review Presenter

Seung-Rok Kim

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

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...

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...

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...

BPNX1068: Corrosion-Resistant Encapsulation for Long-Term Stable Silicon MEMS Resonators

Kyuho Lee
Xintian Liu
Neil Chen
Shiwoo Lee
Kathy Doan
2026

Long-term frequency stability of silicon MEMS resonators is fundamentally limited by surface-driven degradation mechanisms, including corrosion, moisture adsorption, surface oxidation, and defect evolution. These processes progressively alter surface energy, mass, stiffness, and internal stress, leading to frequency drift, Q degradation, and reduced device lifetime. This work presents a corrosion-resistant encapsulation strategy that conformally coats silicon resonator surfaces with a chemically robust, high-hardness barrier layer engineered for long-term environmental stability. The...

BPNX1079: Multiplexed Gas Sensors for Automated Object Identification (New Project)

Carla Bassil
Charlie Huang
2026

The concept of electronic nose first made its emergence in the 1980s. Recent advances in machine learning have led to a resurgence of research interest in this topic. However, state of the art sensors still lack selectivity and sensitivity when it comes to differentiating gases of similar compositions. In this work, we explore methods to create multiplexed gas sensors that can differentiate these mixtures with high accuracy and long-term stability.

Project currently funded by: Federal

BPNX1076: Snapshot Spectral Inference Imager with Indirect Time-of-Flight Cameras (New Project)

Jamie Geng
2026

Hyper-spectral imaging resolves and analyzes optical spectra into object-wise inference results, which is useful for applications with complex spectral information outside of the visual wavelength range such as pollution control, precision agriculture, and biomedical sensing. However, collecting the spectral-spatial hypercubes requires substantial energy, data bandwidth, and hardware form factors, which limit its usage on mobile, high-speed, and battery-based platforms such as robots, unmanned aerial vehicles, and satellites.


To solve the data-bandwidth problem, recent works...

Suhrith Bellamkonda

Undergraduate Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
B.S. 2026 (Anticipated)

Dehui Zhang

Postdoctoral Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
PostDoc 2023 to 2026

Dehui Zhang is a postdoctoral researcher in Electrical 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. He received a Ph.D. in Electrical and Computer Engineering from University of Michigan, Ann Arbor in 2021, and was a postdoctoral researcher at University of California, Los Angeles in 2021-2023. Dehui Zhang joined Javey Research Group in September 2023...