Search Results - electrical

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Low-Power Synthesizer-Free Self-Injection Locked Radar (Case No. 2024-190)
Summary: Researchers at UCLA’s Department of Electrical and Computer Engineering have developed a novel synthesizer-free phase imaging radar that generates high-resolution images with low power consumption. Background: Imaging radars are used in various applications, from self-driving cars and aircraft navigation to medical screening. Traditional...
Published: 6/16/2025   |   Inventor(s): Sidharth Thomas, Wei Sun, Aydin Babakhani
Keywords(s): Antennas/Wireless, Biosensor, Continuous-Wave Radar, Electrical, Frequency conversion, High-resolution, Image Resolution, Imaging, low-power device, Phase (Waves), Phase-Contrast Imaging, Radar, Radar / Antennae, satellite imaging, Signal-To-Noise Ratio
Category(s): Electrical > Imaging, Software & Algorithms > Image Processing, Electrical, Electrical > Wireless > Antennas
Circuit Printing Technology Portfolio
Liquid Metal Printing Technique via Optical Maskless Lithography (Case No. 2024-031) A research team led by Professor Ximin He has developed a facile and scalable fabrication strategy to make soft electronics using LM particles. By using a photo-reactive ink containing LM particles and a polymer precursor, the team can precisely layer conductive surfaces...
Published: 6/2/2025   |   Inventor(s):  
Keywords(s):  
Category(s): Materials, Materials > Fabrication Technologies, Materials > Semiconducting Materials, Electrical, Electrical > Electronics & Semiconductors, Electrical > Electronics & Semiconductors > Circuits
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: 6/2/2025   |   Inventor(s): Aydogan Ozcan, Achuta Kadambi, Mani Srivastava
Keywords(s):  
Category(s): Electrical, Electrical > Signal Processing, Electrical > Visual Computing, Electrical > Imaging, Electrical > Displays
Liang Gao Technology Portfolio
Squeezed Light Field Microscopy (SLIM) (Case No. 2024-153) UCLA researchers have developed a novel method titled Squeezed Light Field Microscopy (SLIM) to enable precise 3D imaging in real time in the NIR-II window. SLIM leverages computational imaging to provide high-resolution 3D images using a single, low-resolution camera sensor. This imaging modality...
Published: 6/2/2025   |   Inventor(s): Liang Gao
Keywords(s):  
Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Electrical, Electrical > Displays, Electrical > Signal Processing
Apparatus and Method for Low-Power EMG and EEG Devices for HMI (Case No. 2023-146)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed compact, low-power neural signal sensing solutions to enhance human-machine interfaces (HMI), including AR/VR systems. Background: Electrogram technologies, such as electroencephalogram (EEG) and electromyography (EMG), are widely used to capture biological...
Published: 5/14/2025   |   Inventor(s): Aydin Babakhani, Sepideh Nouri
Keywords(s): Antennas/Wireless, Augmented Reality, Biosensor, Brain computer interface, brain machine interface, Electroencephalography, Electroencephalography (EEG), energy-efficient wireless communication, Extended reality, Human/Brain computer interfaces (BCI/HCI), Microelectronics, motion detection, on-eyelid sensor, Radar / Antennae, real-time sensing/monitoring/tracking, Remote Sensing, self-powered wireless sensor solutions, smart sensing, Software & Algorithms, Virtual Reality, wearable electronics, wearable sensors
Category(s): Electrical > Sensors, Electrical > Electronics & Semiconductors, Electrical, Software & Algorithms, Software & Algorithms > Ar/Vr
Charge Storage Device Architecture for Increased Energy and Power Density (Case No. 2009-392)
Summary: UCLA researchers have developed a novel electrochemical capacitive energy storage device with high energy and power density, addressing limitations in current energy storage technologies and meeting the demands of increasing electrification. Background: Current energy storage devices, such as lithium-ion batteries and electrochemical capacitors,...
Published: 4/28/2025   |   Inventor(s): Bruce Dunn, George Gruner, John Wang, Sarah Tolbert, Torsten Brezesinski
Keywords(s): battery-less, battery-less IoT, Capacitor, Charge Carrier, charge collection efficiency, charge extraction, charge sharing, charge summing, charge-transfer, clean energy, electric vehicle charging, energy conversion, Energy Density, Energy Efficiency, Energy Harvesting, energy management, Energy Management System, Energy positive, energy-efficient, grid energy, Lithium Battery, Lithium-Ion Battery, material characterization, Nanoelectronics, Nanomaterials, Nanoparticles, Nanostructure, nanostructured materials, Nanotechnology, Rechargeable Battery, Rechargeable Battery Thermal Conductivity, Renewable Energy, Renewable energy sources, Solar Energy, supercharger, Surface Charge, Thermal Energy Storage, wireless energy harvesting
Category(s): Materials, Materials > Nanotechnology, Energy & Environment, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Electrical, Electrical > Electronics & Semiconductors
A Dual-Mode Coil-Reuse Data Acquisition System for Miniaturized Wirelessly Powered Biopotential Sensing Nodes (Case No. 2024-173)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a dual-mode, batteryless coil-reuse system for biosensing devices that enables efficient wireless power transfer and long-range data transmission in a compact form. Background: A vast majority of wearable and implantable medical devices require two wireless...
Published: 5/8/2025   |   Inventor(s): Aydin Babakhani, Hamid Jafarisharemi
Keywords(s): Antennas/Wireless, battery-less, battery-less IoT, Bioelectromagnetics, bioelectronics, Bioinformatics, bioinformatics pipeline, Biomedical Engineering, biomedical implantation, biomedical sensors, Biomonitoring, Biosensor, Cardiac failure, coil design, Data Acquisition, Data Analytics, Electrical stimulation, electrochemical sensors, implantable sensors, low-power architecture, low-power device, medical device cardiac monitoring, Medical Devices and Materials, node architecture, non-invasive cardiac monitoring, radiofrequency (RF) coil, radiofrequency signaling, Rechargeable Battery, self-powered wireless sensor solutions, Sensor, Sensors, Smart Antenna, soft electrical circuits, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors
Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Electrical > Wireless, Medical Devices, Medical Devices > Monitoring And Recording Systems
Aydogan Ozcan - Signal Processing Technology Portfolio
Diffractive Waveguides (Case No. 2025-012) Innovation: Professor Aydogan Ozcan and his team have developed diffractive waveguides designed for optimized transmission across spectral, spatial, and polarization-specific applications. These diffractive waveguides can be cascaded together to operate at any desired wavelength simultaneously. Additionally,...
Published: 3/24/2025   |   Inventor(s):  
Keywords(s):  
Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors, Electrical > Instrumentation, Optics & Photonics
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
Event-Driven Integrate and Fire (EIF) Neuron Circuit for Neuromorphic Computing System (Case No. 2024-275)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an energy efficient neuromorphic computing architecture. Background: Widespread growth in demand for artificial intelligence systems has highlighted limitations in current central processing unit (CPU) designs, particularly in terms of energy efficiency...
Published: 3/4/2025   |   Inventor(s): Mau-Chung Chang, Chao Jen Tien, Yong Hei
Keywords(s): Advanced Computing / AI, advanced computing methods, AI hardware, analog computing, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial intelligence-generated content, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial presenting cells, artificial-intelligent materials, Cloud Computing, computational efficiency, computational imaging, compute-in-memory, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Vision, CPU design, deep neural networks (DNN), Energy Density, Energy Efficiency, event-driven processing, generative artificial intelligence, latency encoding, low latency computing, low-power architecture, matrix multiplication, Medical artificial intelligence (AI), Neuromorphic computing, offline learning, online learning, spike neural networks (SNN), Supercomputer
Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors, Electrical > Computing Hardware, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning
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