Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

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.

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.

BPNX1060: Wearable On-Skin Chemical Sensing (New Project)

Seung-Rok Kim
2025

We present a wearable platform for on-skin chemical sensing that enables continuous and real-time monitoring of metabolic activity. The device is designed to operate robustly during physical activities and under varying skin conditions, providing reliable measurements that may be useful for personalized health assessment.

Project is currently funded by: Industry Sponsored Research

BPNX1031: Scalable Infrared Photodetectors based on Large-Grain Tellurium Film

Hyong Min Kim
Naoki Higashitarumizu
Theodorus Jonathan Wijaya
2025

Tellurium is a narrow-gap, p-type semiconductor with promising potential for future electronic and optoelectronic devices. Te’s band gap can be tuned from 0.31 eV in bulk form to 1.04 eV in monolayer form. Unlike many other competing 2D semiconductors, Te is air-stable and can be deposited on a substrate of choice by thermal evaporation or solution synthesis. Photodetectors based on solution-synthesized Te nanoflakes have already been demonstrated, with specific detectivity in near-IR at or above 10^9 Jones. However, solution-synthesis of Te nanoflakes is not scalable, and...

BPN999: Wearable Sweat Sensors with High-Throughput Fabrication

Seung-Rok Kim
Noelle Davis
Pooja Mehta
Amanda King
Yullim Lee
Nicole Qing
2025

We have been developing sweat sensors to analyze physiological and metabolic health information, such as sweat rate, glucose levels, pH, and various electrolytes, from any surface on the body surface where sweat glands are present. However, the stiff sweat sensors developed so far struggle to detect subtle signal changes, especially on soft skin. This is due to a mechanical mismatch between the rigid sweat sensor and the pliable skin, which can lead to motion artifacts and delamination of the patch from skin. Specifically, the stiff sensor cannot easily stretch along with the...

BPNX1022: Multiplexed Gas Sensors

Carla Bassil
Kichul Lee
2025

Gas sensing has long been an area of academic and industrial interest. 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 is currently funded by: Federal

BPNX1058: Visible-to-Mid-Infrared Photodetection with Self-Adaptive Responsivity-Speed Tradeoff (New Project)

Dehui Zhang
Yibo Zhang
Hyong Min Kim
Jamie Geng
2025

Normal scenes captured by cameras involve light intensities spanning more than five orders of magnitude, which is often taken care of with auto-exposure/multiple exposures in high dynamic range (HDR) imaging technologies. Such technologies assign one or several uniform exposure levels and dynamic ranges for all pixels in the image, significantly squeezing the data precision for dimmer regions, causing fundamental information loss at the photodetection stage.


Ideally, each detector should independently decide its tradeoff between responsivity and speed. For
...

BPN971: Conformable Mid-Wave Infrared Imagers based on Ultrathin Black Phosphorus Photodiodes

Theodorus Jonathan Wijaya
Yifei Zhan
Hyong Min Kim
Dehui Zhang
Naoki Higashitarumizu
Shu Wang
Kyuho Lee
Shogo Tajima
Shifan Wang
2025

Midwave infrared (MWIR) is significant for applications such as sensing, imaging, and spectroscopy. Traditional materials in this wavelength range, III-V and II-VI semiconductors, has poor performance due to their high Auger recombination rate and large dark currents. Due to the better properties of black phosphorus (BP) such as its low Auger recombination coefficient, BP-based mid-infrared light emitters and detectors have shown to outperform the state-of-the-art commercial devices. However, the scalability of these devices remains questionable because of the limitations of...