Search Results - aydogan+ozcan

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Misalignment Resilient Diffractive Optical Networks (Case No. 2020-885)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed and experimentally validated a comprehensive training scheme that greatly enhances the robustness of diffractive networks to 3D misalignments and fabrication tolerances in their physical implementation. Background: As an optical machine learning framework,...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan

Keywords(s): Optical Communication , Optical computing, optical implementation, Optical networks, optical processor

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Optics & Photonics

Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks (Case No. 2020-174)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a diffractive neural network that can process an all-optical, 3D printed neural network for deep learning applications. Background: Deep learning, a method of machine learning that mimics the human brain’s connectivity through a series of “neural...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Yi Luo, Deniz Mengu, Yair Rivenson

Keywords(s):

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

Optical Generative Models (Case No. 2025-067)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an optics-based system to rapidly generate synthetic images. Background: Generative AI models that create synthetic images, human-like natural language processing capabilities, and even new protein designs are critical for a diverse array of applications....

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Shiqi Chen

Keywords(s): Adaptive Optics, all-optical diffractive computing, Electro-Optics, Optical Coherence , Optical computing, Optical Generative Models, Optics

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Optics & Photonics, Electrical, Electrical > Signal Processing, Electrical > Imaging, Electrical > Visual Computing

Super-Resolution Image Display Using Diffractive Decoders (Case No. 2022-302)

Summary UCLA researchers in the Department of Electrical and Computer Engineering have developed a super-resolution (SR) image display framework that increases the effective number of useful pixels by 16-fold. This framework combines deep learning-based digital encoding with all-optical decoding to achieve ultra-fast, energy-efficient image super-resolution...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Cagatay Isil, Deniz Mengu

Keywords(s):

Category(s): Electrical, Electrical > Sensors, Electrical > Signal Processing, Electrical > Electronics & Semiconductors

Cascadable All-Optical Nand Gates Using Diffractive Networks (Case No. 2022-107)

Summary UCLA researchers have developed cascadable, all-optical NAND gates built from passive diffractive neural networks, enabling logic operations (e.g. NAND, AND, OR, half-adder) via light propagation and diffraction rather than electronics, potentially lowering latency and power consumption. Background Traditional optical logic gates often rely...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Yi Luo

Keywords(s):

Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors

AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Shannon Wongvibulson, Paloma Casteleiro Costa, Gyeo-Re Han, Yuzhu Li

Keywords(s): Artificial Intelligence, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, artificial-intelligent materials, Computer-Aided Diagnosis, deep neural networks (DNN), Dermatology, electrochemical sensors, Medical artificial intelligence (AI), Signal Processing, Signal-To-Noise Ratio, Skin, skin protection, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health

Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Medical Devices > Monitoring And Recording Systems, Therapeutics > Dermatology, Diagnostic Markers

Diffractive Waveguides (Case No. 2025-012)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed innovative high performance diffractive waveguides adaptable to any task and that achieve desired specifications for applications spanning telecommunications, sensing, spectroscopy, and integrated photonics circuits. Background: Waveguides are crucial...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Yuhang Li, Yuntian Wang

Keywords(s): Adaptive Optics, deep diffractive network, Deep Learning, Deep learning-based sensing, Diffraction, diffractive network, Dispersion (Optics), optimization, Phase (Waves), real-time sensing/monitoring/tracking, Waveguide, Waveguide (Electromagnetism), Waveguide Light, Waveguide Waveguide (Electromagnetism), Wavelength

Category(s): Electrical > Sensors, Electrical > Signal Processing, Electrical > Visual Computing > Diffractive Computing, Electrical > Imaging

Hidden Image Visualization and Signal Sensing Technology Portfolio

Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184) Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and medicine. Terahertz-based, non-invasive systems show promise towards this end; they penetrate most opaque materials and...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Achuta Kadambi, Mani Srivastava

Keywords(s):

Category(s): Electrical, Electrical > Signal Processing, Electrical > Visual Computing, Electrical > Imaging, Electrical > Displays

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing (Case No. 2025-128)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering & Bioengineering have developed a novel, high-sensitivity chemiluminescence vertical flow assay for rapid cardiac diagnostics, addressing current challenges in both modern and underserved healthcare settings. Background: Point-of-care (POC) testing is performed...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo, Merve Eryilmaz

Keywords(s):

Category(s): Chemical, Chemical > Instrumentation & Analysis, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Electrical > Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Therapeutics, Therapeutics > Cardiovascular

Blurryscope (Case No. 2025-070)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a cost-effective digital scanning microscope to improve pathological screening. Background: High quality pathological imaging systems are essential to carefully assess tissue sectioning samples and produce accurate diagnoses for patients. Digitization...

Published: 7/20/2026 | Inventor(s): Aydogan Ozcan, Michael Fanous, Christopher Seybold

Keywords(s):

Category(s): Electrical, Electrical > Imaging, Electrical > Instrumentation, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

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