Patents Assigned to Northeastern University
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Patent number: 12700657Abstract: A method for broadband, high-efficiency spin wave transduction adopts a slow-wave structure to enhance the interaction of electromagnetic waves and spin waves.Type: GrantFiled: May 15, 2024Date of Patent: August 4, 2026Assignees: Northeastern University, UChicago Argonne, LLCInventors: Xufeng Zhang, Jing Xu
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Patent number: 12699384Abstract: A machine learning system and method for optimizing a production process. For instance, the method includes several steps as follows: selecting different values for a plurality of input parameters of a digital model of the production process for simulation; running the digital model using the different values for the plurality of input parameters and at least some of real-time data of the production process; determining a plurality of output parameters of the digital model; analyzing the plurality of output parameters; learning an optimized plurality of input parameters corresponding to the plurality of output parameters; and programming the production process to use the optimized plurality of input parameters to run the production process.Type: GrantFiled: July 1, 2022Date of Patent: August 4, 2026Assignee: NORTHEASTERN UNIVERSITYInventor: Mohammad Dehghanimohammadabadi
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Patent number: 12693293Abstract: Described herein is a sensor comprising a doped silicon layer, a graphene layer on the doped silicon layer, a molecularly imprinted polymer (MIP) layer on the graphene layer, and electrodes in operative arrangement with the MIP layer and configured to provide a signal indicative of resistance. The MIP layer is derived from a MIP monomer and functional monomer. Also described herein is a detector comprising a sensor described herein as well as methods of making and using the sensors and detectors, e.g., to detect an analyte, such as a virus.Type: GrantFiled: January 26, 2022Date of Patent: July 28, 2026Assignee: Northeastern UniversityInventors: Shadi Emam, Nian-Xiang Sun
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Publication number: 20260212989Abstract: Aspects of the present disclosure describe systems and methods for predicting an intra-aortic pressure of a patient receiving hemodynamic support from a transvalvular micro-axial heart pump. In some implementations, an intra-aortic pressure time series is derived from measurements of a pressure sensor of the transvalvular micro-axial heart pump and a motor speed time series is derived from a measured back electromotive force of a motor of the transvalvular micro-axial heart pump. Furthermore, in some implementations, machine learning algorithms, such as deep learning, are applied to the intra-aortic pressure and motor speed time series to accurately predict an intra-aortic pressure of the patient. In some implementations, the prediction is short-term (e.g., approximately 5 minutes in advance).Type: ApplicationFiled: September 22, 2025Publication date: July 23, 2026Applicants: ABIOMED, Inc., Northeastern UniversityInventors: Ahmad El Katerji, Erik Kroeker, Elise Jortberg, Rose Yu, Rui Wang
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Patent number: 12682241Abstract: ADMM-NN is an algorithm-hardware co-optimization framework of DNNs using Alternating Direction Method of Multipliers (ADMM). The first part of ADMM-NN is a systematic, joint framework of DNN weight pruning and quantization using ADMM. The second part is a hardware-aware optimization to facilitate hardware-level implementations. ADMM-based weight pruning and quantization accounts for (i) computation reduction and energy efficiency improvement and (ii) performance overhead due to irregular sparsity. Experimental results demonstrate that by combining weight pruning and quantization, the proposed framework can achieve 1,910× and 231× reductions in the overall model size on the LeNet-5 and AlexNet models. Favorable results are also observed on VGGNet and ResNet models. Also, without any accuracy loss, 3.6× reduction in the amount of computation can be achieved, outperforming prior work.Type: GrantFiled: December 21, 2020Date of Patent: July 14, 2026Assignee: Northeastern UniversityInventors: Yanzhi Wang, Xue Lin
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Patent number: 12679952Abstract: Described is a new family of fiber-reinforced composites/mechanical metamaterials with negative Poisson's ratio.Type: GrantFiled: February 27, 2024Date of Patent: July 14, 2026Assignee: Northeastern UniversityInventor: Yaning Li
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Patent number: 12680926Abstract: Provided are an ultra-large bottom opening and closing type three-dimensional loading apparatus and a test method. The apparatus comprises a horizontal reaction frame, a vertical reaction frame, a sample bearing lifting walking beam, lifting cylinders, a reaction support pad beam, array type actuator groups, and a linear array dynamic actuator group. The vertical reaction frame adopts a pre-stressed assembly structure, and the horizontal reaction frame adopts a longitudinal multi-group single-beam circumferential T-shaped scarfed high-strength pre-stressed steel wire winding assembly structure, which meets a high stiffness design requirement of a three-dimensional loading apparatus.Type: GrantFiled: March 4, 2024Date of Patent: July 14, 2026Assignee: NORTHEASTERN UNIVERSITYInventors: Xiwei Zhang, Xiating Feng, Qinghe Zhu, Lei Shi
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Methods and compositions for use of mitochondrial therapies to improve female reproductive potential
Patent number: 12674182Abstract: Disclosed are methods for increasing the fertilization rate of an oocyte in a granulosa cell-oocyte complex, and/or the success rate of in-vitro fertilization by using mitochondrial therapies. Also disclosed are methods of identifying compounds for fertility treatment.Type: GrantFiled: February 22, 2021Date of Patent: July 7, 2026Assignee: Northeastern UniversityInventors: Jonathan L. Tilly, Dori Woods -
Patent number: 12676511Abstract: Wireless power transfer (WPT) efficiency is enhanced using an ultra-low power (ULP) distributed beamforming technique. A phase and frequency offset correction technique is used for beam-forming optimization, a backscattering communication technique is used to reduce power over-head, and a new rectifier and MPT method is used for high efficiency RF-to-DC conversion.Type: GrantFiled: June 5, 2024Date of Patent: July 7, 2026Assignee: Northeastern UniversityInventor: Aatmesh Shrivastava
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Patent number: 12672774Abstract: Testing methods for evaluating visual and neurological functions of a human or animal subject that involve conscious perception. The tests include a training phase, a practice phase, and a visual rivalry phase for detecting binocular rivalry or multistate competition. The design of the testing methods offers simple, rapidly administered, nonverbal visual testing with high time resolution and access to changing conscious perceptual states of the test subject. The methods also make possible the collection of a large amount of data in a short time for analysis of the subjects visual function and brain function, and can be used in the diagnosis of many medical conditions.Type: GrantFiled: February 22, 2022Date of Patent: July 7, 2026Assignee: Northeastern UniversityInventors: Jan Skerswetat, Peter John Bex
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Patent number: 12669627Abstract: Provided is a method for judging geology of a time-delayed extremely intense rockburst as to deep tunnel engineering. Information about geological structures is recorded according to methods such as geological mapping and advanced geological prediction of the tunnel face. Geometric characteristics of burst craters formed during the rockburst are recorded by utilizing advanced geological drilling and profile scanning technologies in a rockburst-damaged zone. 3D geostress in the rockburst-damaged zone is measured by using a stress relief method or a hydraulic fracturing method to determine the orientation of the maximum principal stress. A 3D numerical calculation model is established based on initial geostress testing results and physical and mechanical parameters of rock and structural discontinuities obtained through on-site geological investigations.Type: GrantFiled: June 25, 2023Date of Patent: June 30, 2026Assignee: NORTHEASTERN UNIVERSITYInventors: Benguo He, Xiangrui Meng, Xiating Feng, Hongpu Li, Fei Wang, Jie Wang, Lei Wang, Lei Hu, Zhibin Yao, Hongyuan Fu
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Patent number: 12670969Abstract: Methods and systems for generating drug repurposing predictions for a disease caused by a pathogen, such as a novel pathogen, are provided. A multi-modal system includes a protein-protein interaction network (PPI), a graph neural network (GNN), a diffusion module, a proximity module, and an aggregation module. The GNN is configured to predict new edges between candidate drug nodes and disease nodes in an embedded representation of the PPI to produce a decoded embedding space. The diffusion module is configured to determine a proximity distance for pairs of nodes in the PPI, and the proximity module is configured to determine a proximity distance for pairs of nodes in the PPI, each pair comprising a pathogen-protein node and a drug-protein node. A ranked list of candidate drugs predicted to be effective in treatment of the disease based on candidate drug lists generated by the other modules is generated by the aggregation module.Type: GrantFiled: November 24, 2021Date of Patent: June 30, 2026Assignees: Northeastern University, Scipher Medicine Corporation, The Brigham and Women's Hospital, Inc., President and Fellows of Harvard CollegeInventors: Deisy Morselli Gysi, Albert-László Barábasi, Italo Faria do Valle, Onur Varol, Xiao Gan, Asher Ameli, Joseph Loscalzo, Marinka Zitnik, Susan Ghiassian
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Patent number: 12658849Abstract: Methods, systems, and computer products are presented herein for generating a clock signal using an on-chip ultra-low power (ULP) RC oscillator. An on-chip ultra-low power (ULP) RC oscillator comprises a first comparator, a second comparator, and a flip flop. The first comparator comprises a first input electrically coupled to a first bias voltage generation circuit and a second input electrically coupled to a first capacitor circuit. Each of the first bias voltage and the second bias voltage directly varies with a thermal voltage. A flip-flop is electrically coupled to the first comparator and the second comparator. The flip-flop is configured to generate a clock signal based on the first and the second comparator output signals.Type: GrantFiled: September 5, 2024Date of Patent: June 16, 2026Assignee: Northeastern UniversityInventors: Aatmesh Shrivastava, Nikita Mirchandani
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Patent number: 12656024Abstract: A method is disclosed for producing a plasmonic-nanostructure spectrally selective solar absorber having high solar absorptance, low thermal emittance, and superior thermal stability. The method includes the steps of providing an alloy structure containing a base metal and a copper alloying impurity, wherein copper has a weight percent concentration in the alloy of at least 0.25%; and applying an alkaline solution to a surface of the alloy structure to selectively dissolve base metal elements at the surface resulting in fabrication of sponge-like copper nanostructures on the surface configured to scatter, trap, and absorb light in solar wavelengths.Type: GrantFiled: November 29, 2022Date of Patent: June 16, 2026Assignee: Northeastern UniversityInventors: Yanpei Tian, Yi Zheng
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Patent number: 12653793Abstract: Tellurium (Te) nanostructures are synthesized using green aloe vera chemistry methods, and the synthesized Te nanostructures provide methods of inhibiting bacterial cells and cancer cells without cytotoxicity towards normal cells. The aloe vera chemistry methods for synthesizing Te nanostructures do not produce toxic byproducts and do not require toxic reagents in comparison to traditional chemical synthetic methods for making Te nanostructures.Type: GrantFiled: January 6, 2020Date of Patent: June 16, 2026Assignee: Northeastern UniversityInventors: David Medina Cruz, Ada Vernet Crua, Thomas J. Webster
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Patent number: 12648709Abstract: A quantitative, ultrashort time to echo, contrast-enhanced magnetic resonance imaging technique is provided. The technique can be used to accurately measure contrast agent concentration in the blood, to provide clear, high-definition angiograms, and to measure absolute quantities of cerebral blood volume on a voxel-by-voxel basis.Type: GrantFiled: September 13, 2024Date of Patent: June 9, 2026Assignee: Northeastern UniversityInventors: Codi Gharagouzloo, Srinivas Sridhar
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Patent number: 12642433Abstract: Disclosed are methods for quantification of a perivascular space in a subject's central nervous system. The methods include administering contrast agent into cerebrospinal fluid of the subject; performing quantitative ultra-short time-to-echo contrast-enhanced magnetic resonance imaging (QUTE-CE MRI) on a region of interest of the subject's brain; and determining presence of the contrast agent in the perivascular space within the region of interest.Type: GrantFiled: January 27, 2020Date of Patent: June 2, 2026Assignee: Northeastern UniversityInventors: Craig Ferris, Ju Qiao, Praveen Kulkarni, Codi Gharagouzloo
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Patent number: 12644807Abstract: A dual-direction synchronous loading method for a true-triaxial test apparatus includes the following steps: Step S1, loading a sample and adjusting the sample at a center of a sample box and a rigid loading frame; Step S2, setting parameters and sending action instructions through a computer control panel; and Step S3, collecting load signals collected by each sensor acquired by a PID controller, and coordinating a size of triaxial dual-direction loading loads to realize a single instruction dual-direction synchronous loading. The method ensures that a rock sample is kept at a center of a pressure chamber before being loaded, so that a focus of a loading axis is always at a same position as a center of the sample in space, and the function of synchronous loading of two loading actuators in the same direction under a single instruction can be achieved.Type: GrantFiled: February 23, 2023Date of Patent: June 2, 2026Assignee: NORTHEASTERN UNIVERSITYInventors: Benguo He, Xiating Feng, Jie Wang, Rongli Zhen, Hongpu Li, Mian Tian, Zhibin Yao
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Patent number: 12636636Abstract: A preparation method of a granular adsorbent is provided, including the following: adding a pyrrole monomer to an acidic solution, and adding an oxidant as an initiator to allow a polymerization reaction of the pyrrole monomer to produce polypyrrole (PPy), where an adsorption material powder is added to a reaction system before, during, or immediately after the polymerization reaction, and a resulting mixture is thoroughly stirred; after the polymerization reaction is completed, filtering a resulting reaction system to obtain a filter cake, which is the granular adsorbent; or subjecting the resulting reaction system to centrifugal sedimentation to obtain the monolithic adsorbent. In the present disclosure, the pyrrole monomer is subjected to a polymerization reaction to generate PPy; before being tightly stacked, network structures of PPy wrap the adsorption material powder; and the granular adsorbent is formed through sedimentation and stacking.Type: GrantFiled: September 29, 2022Date of Patent: May 26, 2026Assignee: Northeastern UniversityInventors: Liying Liu, Zhe Wang, Zhuo Li
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Patent number: 12640783Abstract: A wireless communications network transmits beamformed signals via compressed beamforming feedback. A transmitter generates beamformed signals and omnidirectional signals. A receiver, communicatively coupled to the transmitter via a wireless channel, generates channel state information (CSI) based on a received signal from the transmitter; generates, via a first neural network (NN), a compressed representation of beamforming feedback as a function of the CSI; and transmits the compressed representation to the transmitter via the wireless channel. The transmitter then determines, via a second NN, the beamforming matrix as a function of the compressed representation; and generates a subsequent beamformed signal toward the receiver as a function of the beamforming matrix.Type: GrantFiled: April 4, 2023Date of Patent: May 26, 2026Assignees: Northeastern University, The Regents of the University of CaliforniaInventors: Niloofar Bahadori, Francesco Restuccia, Marco Levorato, Yoshitomo Matsubara