Search Results - aydogan+ozcan

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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: 9/11/2025 | 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: 9/11/2025 | 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: 8/26/2025 | 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

Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...

Published: 7/25/2025 | Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li

Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures

Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs

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: 8/13/2025 | 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: 7/17/2025 | 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: 6/13/2025 | 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: 6/11/2025 | 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

An Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning (Case No. 2024-260)

Summary: UCLA researchers in the Department of Electrical & Computer Engineering have developed a new phosphorescence lifetime imaging (PLI) and deep learning based continuous glucose monitoring platform with improved accuracy. Background: Glucose is a biomarker for diabetes, a chronic disease that affects over 450 million people globally....

Published: 4/8/2025 | Inventor(s): Aydogan Ozcan, Zoltan Gorocs, Artem Goncharov, Ridhi Pradhan, Brian Ko, Michael McShane

Keywords(s): Blood Glucose Monitoring, chronic diabetes management, continuous glucose monitoring (CGM), diabetes and obesity, diabetes management and monitoring, disease multiplexing, Glucose, glucose intolerance, insulin pump, type 1 and 2 diabetes

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Electrical, Electrical > Sensors

Deep Learning Achieves Super-Resolution in Fluorescence Microscopy (Case No. 2018-739)

Summary: UCLA researchers in the Department of Electrical Engineering have developed a novel high-speed and non-iterative approach of achieving super-resolution in fluorescence microscopy using deep learning. Background: Super-resolution microscopy such as structured illumination microscopy allows visualization of intricate details of cellular features...

Published: 7/17/2025 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Hongda Wang

Keywords(s):

Category(s): Electrical, Electrical > Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Optics & Photonics > Holography

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