Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

BPNX1044: Exploring Tellurium Compound‐Based p‐Type Channels for Various Functionalities

Taehoon Kim
I K M Reaz Rahman
Naoki Higashitarumizu
Inha Kim
Hyong Min Kim
Shu Wang
Robert Tseng
2026

​Tellurium-based materials (tellurides) are promising materials for p-channel transistors due to their compatibility with various elements and deposition methods. This versatility facilitates integration into diverse device architectures and enables the implementation of tailored electrical, thermal, optical, and structural properties. We investigate tellurium-based materials and their deposition techniques to optimize these multifaceted characteristics for advanced electronic applications.

Project is currently funded by: Federal

BPNX1068: Corrosion-Resistant Encapsulation for Long-Term Stable Silicon MEMS Resonators (New Project)

Kyuho Lee
Xintian Liu
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...

BPNX1058: Visible-to-Mid-Infrared Photodetection with Self-Adaptive Responsivity-Speed Tradeoff

Dehui Zhang
Yibo Zhang
Hyong Min Kim
Jamie Geng
2026

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
...

BPNX1025: In-Sensor Visible to Mid-Infrared Spectral Machine Vision

Dehui Zhang
Jamie Geng
Hyong Min Kim
Shifan Wang
2026

Multispectral and hyperspectral imaging are important optical inspection technologies. They collect the spatial and spectral information of the incidental light into 3D hypercubes, which can be post-processed into material and structural mapping of the scene. However, acquiring and analyzing the 3D hypercubes set great challenges in data collection, transportation, storage, and computation. The much higher energy, bandwidth, and memory budgets limit the implementation of high-speed, high-resolution hyperspectral imaging to achieve intelligent machine vision. This project introduces an...

BPN971: Multispectral Photonic Skin based on Ultrathin Black Phosphorus and Organic Photodetectors

Kyuho Lee
Theodorus Jonathan Wijaya
Yifei Zhan
Hyong Min Kim
Dehui Zhang
Naoki Higashitarumizu
Shu Wang
Shogo Tajima
Shifan Wang
2026

Embodied systems requires deformable electronic skins capable of pre-touch perception beyond traditional tactile feedback. Here, we report an ultrathin multispectral photonic skin comprising integrated photodetector arrays for thermal and proximity mapping through non-contact optical detection. The platform integrates near-infrared organic photodetectors and mid-wave infrared black phosphorus photodetectors within a unified stack. By replacing thermally mediated mechanisms with a photonic architecture, the skin achieves thermal detection bandwidths in the tens of kilohertz, extending non-...

BPNX1026: Strong, Tunable Mid-IR Emission from Black Phosphorous Film

Kyuho Lee
Naoki Higashitarumizu
Shu Wang
Hyong Min Kim
Theodorus Jonathan Wijaya
2025

A weak van der Waals (vdW) force in layered materials enables their isolation into thin flakes through mechanical exfoliation while sustaining their intrinsic electronic and optical properties. Here, we introduce a universal roll-printing method capable of producing vdW multilayer films on wafer-to-meter scale. This process uses sequential exfoliation and transfer of layered materials from the powder sources to target substrates through a repeated rolling of a cylindrical metal drum. We achieve uniformly coated films with a library of vdW powders on various mechanically rigid and...

BPNX1022: Multimodal Gas Sensor Chip

Carla Bassil
Kichul Lee
2026

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

BPNX1051: Multifunctional Smart Contact Lens Sensing Platform

Yifei Zhan
2026

The evolution of contact lens technology is rapidly transforming these simple vision-correcting devices into advanced, multifunctional platforms. By embedding innovative sensor technologies onto contact lenses, it becomes possible to continuously monitor a person’s own well-being in a comfortable and non-invasive way. In this work, we explore the possibility of creating a multifunctional smart contact lens sensing platform that can one day help people easily track important health information, offering new ways to stay connected with their bodies without interrupting daily life.

...

BPNX1028: Scalable Low-Temperature Processing of Chalcogen and Chalcogenide for Infrared Luminescence

Shu Wang
Naoki Higashitarumizu
2026

Scalable growth and processing of high-quality semiconductors, the active component of devices, is the foundation of modern electronics. We are interested in chalcogen and chalcogenide, with their appealing optical properties in infrared and potential low-temperature wafer-scale production, as promising material for optoelectronics. In this project, we develop new methods for controlled and scalable production of optically active tellurium, telluride, and other chalcogenide.

Project is currently funded by: Federal

BPNX1045: Scalable Bipolar Photodiodes for In-Sensor Spectral Computation

Jamie Geng
Dehui Zhang
Tyler Ferraro
Simon Starbuck
Dorottya Urmossy
2026

Machine learning enabled spectrometry has the potential to revolutionize fields like agriculture, field biology, and chemical metrology by allowing the identification of different targets in space via a spectral fingerprint. For example, fields of diseased crops requiring pesticides may show different reflectance spectra compared to healthy plants. However, current methods using a standard spectrometer and off-chip computer must acquire, transmit, then process complete reflectance or transmittance spectra, known as a hypercube, for every point of interest in space. This is costly in terms...