Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

Inha Kim

Graduate Student Researcher
Applied Science and Technology
Professor Ali Javey (Advisor)
Ph.D. 2028 (Anticipated)

Robert Tseng

Visiting Scholar Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2027 (Anticipated)

Hanna Schlegel

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2029 (Anticipated)

BPNX1022: Multiplexed Gas Sensors

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

Mechanically Flexible Mid-Wave Infrared Imagers using Black Phosphorus Ink Films

Theodorus Jonathan Wijaya
Naoki Higashitarumizu
Shifan Wang
Shogo Tajima
Hyong Min Kim
Shu Wang
Dehui Zhang
James Bullock
Tomoyuki Yokota
Takao Someya
Ali Javey
2025

The mid-wave infrared (MWIR) spectral range (λ = 3–8 μm) enables important sensing and imaging applications, including non-invasive bioimaging, night vision, and autonomous navigation. Commercial MWIR photodetectors are limited to rigid imagers based on heteroepitaxial materials. There is an emerging need for mechanically flexible MWIR imagers to broaden their functionality and practicality. Recently, photodetectors using van der Waals (vdW) black phosphorus (BP) flakes have demonstrated highly sensitive room-temperature photodetection. Additionally, vdW materials are solution-processable...

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

The mid-wave infrared (MWIR) spectral range (λ = 3–8 μm) enables a variety of important sensing and imaging applications, including non-invasive bioimaging, night vision, and autonomous navigation. However, commercial MWIR photodetectors are largely limited to rigid imaging systems based on heteroepitaxial materials. Consequently, there is a growing demand for mechanically flexible MWIR imagers that can expand their functionality and practical applicability.

Recently, photodetectors based on van der Waals (vdW) black phosphorus (BP) flakes have demonstrated highly sensitive room-...

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...