Patents Assigned to George Mason University
  • Patent number: 12277858
    Abstract: A plurality of road-to-traveler feedback (“RTF”) devices integrated with a plurality of electronic computing devices transmits location data to a server. The server transmits to the RTF devices traffic signal timing data based on the location data. RTF devices present suggested velocities based on the traffic signal timing data, such that if a traveler conformed to the suggested velocities and other travel-related data, the traveler would position himself into a geographic region on a roadway in which the traveler is ensured to avoid red lights and other traffic impediments. The server is operatively connected to traffic controllers and receives traffic light state data. The server facilitates a plurality of geographic regions based at least on the traffic light state data and detected travelers on roadways, wherein each of the geographic regions are synchronized to allow continuous traffic flow for the travelers positioned therein.
    Type: Grant
    Filed: May 10, 2021
    Date of Patent: April 15, 2025
    Assignee: George Mason University
    Inventors: Melvin H. Friedman, Brian L. Mark
  • Patent number: 12254574
    Abstract: A navigation system for facilitating navigation in a space includes a network interface configured to access a representation of a space, a memory storing instructions, and at least one processor coupled with the memory. The at least one processor executes the instructions to detect objects in the representation of the space and determine a plurality of desirable positions which facilitate navigation in the representation of the space based on the detected objects.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: March 18, 2025
    Assignee: GEORGE MASON UNIVERSITY
    Inventors: Changyang Li, Lap Fai Yu
  • Patent number: 12205343
    Abstract: A computer-implemented method of detecting one or more objects in a driving environment located externally to a vehicle, and a vehicle imaging system configured to detect one or more objects. The computer-implemented method includes training a first neural network to detect objects in a color video stream, the first neural network having a plurality of mid-level color features at a plurality of scales, and training a second neural network, operatively coupled to color neural network and an infrared video stream, to match, at the plurality of scales, mid-level infrared features of the second neural network to mid-level color features of the first neural network. A pixel-level invisibility map is then generated from the color video stream and the infrared video stream by determining differences, at each of the plurality of scales, between mid-level color features at the first neural network and mid-level infrared features at the second infrared neural network, and coupling the result to a fusing function.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: January 21, 2025
    Assignee: George Mason University
    Inventors: Yongxin Wang, Duminda Wijesekera
  • Patent number: 12194087
    Abstract: Embodiments relate to a method comprising (a) expressing a vector comprising a PSGL-1 (P-selectin glycoprotein ligand-1) or a mutant thereof in a VPC (virus producing cell); and blocking a virus infection by inactivating an infectivity of a released virions from the VPC; or (b) expressing a glycoprotein or a mutant thereof in the VPC; blocking the virus infection by preventing binding of the released virions to a target cell; inactivating infectivity of the released virions; and targeting a viral infection. Other embodiments relate to (1) a broad-spectrum anti-viral product comprising: a vector expressing a glycoprotein or a mutant thereof in a VPC; and blocking a virus infection by inactivating infectivity of a released virion from the VPC; and (2) a vaccine comprising a viral particle is configured to a live attenuated or an inactivated or a non-infectious, wherein the viral particle are produced in a VPC.
    Type: Grant
    Filed: April 2, 2020
    Date of Patent: January 14, 2025
    Assignee: George Mason University
    Inventors: Yuntao Wu, Deemah Dabbagh, Sijia He
  • Patent number: 12195937
    Abstract: A dynamically deployable, low visibility pneumatic cofferdam for flood mitigation is disclosed. The cofferdam includes a first planar component, a second planar component, an inflatable hermetic airbag sandwiched therebetween, and connection members attached to the first planar component, a second planar component to form a cofferdam unit. The connection members are adjustable to apply and maintain a desired amount of pressure on the airbag to enable a watertight seal to be formed. The cofferdam units may be sized and designed to sealingly mate adjacent cofferdam units in a variety of configurations to form watertight seals. The cofferdam units may also be sized and designed to attach to seawalls, flood walls, sidewalks, or other infrastructure. When in a deployed state, the height of the cofferdam may be adjusted to a desired height to provide flood mitigation. When in an undeployed state, the cofferdam remains in a substantially flat and unobtrusive position.
    Type: Grant
    Filed: March 23, 2022
    Date of Patent: January 14, 2025
    Assignee: George Mason University
    Inventors: George Lee Donohue, Adel N. Youssef, Lucciana Hind Remy, Faris Khaled Masri, Murat Gokturk
  • Publication number: 20240380761
    Abstract: A method, system and apparatus provides detection of malicious network traffic by analyzing, via a trained machine learning model, at least timing and flow duration features of extracted from monitored network traffic, the at least timing and flow duration features independent of content of the monitored network traffic; and predicting, via the trained machine learning model, from the analyzed at least timing and flow duration features that a cyber-attack has occurred or is occurring.
    Type: Application
    Filed: May 9, 2024
    Publication date: November 14, 2024
    Applicant: George Mason University
    Inventors: Xinyuan Wang, Fabian Martin Ramos
  • Publication number: 20240352012
    Abstract: Embodiments relate to novel pan caspase inhibitors and method of manufacture of the same. Additionally, embodiments provide pharmaceutical compositions using novel pan caspase inhibitors, and methods for the use thereof as caspase inhibitors and for the treatment of disorders caused by excessive apoptotic activity.
    Type: Application
    Filed: April 11, 2024
    Publication date: October 24, 2024
    Applicant: GEORGE MASON UNIVERSITY
    Inventors: Michael Girgis, Mikell Paige
  • Publication number: 20240340305
    Abstract: A method and system disable executable script in requested displayable content. Responsive to requesting displayable content, a non-executable code sequence and a mis-matched font file that maps a plurality of characters of the requested displayable content to the non-executable code sequence is received. The non-executable code sequence is displayed as a text string in accordance with the received mis-matched font file.
    Type: Application
    Filed: April 1, 2024
    Publication date: October 10, 2024
    Applicants: George Mason University, University of South Florida
    Inventors: Mingkui Wei, Yao Liu, Zhuo Lu, Junjie Xiong
  • Publication number: 20240333767
    Abstract: A method, system and apparatus provides network communication between a sender and a receiver in a communication network. At a sender side of the network communication a ciphertext is encoded into a stegotext in a target language using a randomized language model, the ciphertext based upon an original content in a source language. The stegotext randomly generated by the language model to be decoupled from the original content and to have an assigned context in the target language that corresponds to the network communication in the target language. The stegotext is transmitted to a receiver over multiple communication channels of a communication network using one or more applications on an application layer of the communication network.
    Type: Application
    Filed: April 2, 2024
    Publication date: October 3, 2024
    Applicant: George Mason University
    Inventors: Kai Zeng, Massieh Kordi Boroujeny
  • Patent number: 12105092
    Abstract: Molecularly imprinted particles comprising a label are described herein, in particular such particles prepared by RAFT polymerization, as are compositions and kits comprising such particles, and methods for preparing and using such particles.
    Type: Grant
    Filed: May 12, 2020
    Date of Patent: October 1, 2024
    Assignee: George Mason University
    Inventors: Barney Bishop, Mrinalini Ramanan, Yaling Zhu
  • Patent number: 12102910
    Abstract: Technologies are provided for generation of exertion-aware paths. Some embodiments include a computing system that can generate a path based at least on first data defining a terrain, second data defining a target level of total work, and third data defining a target level of perceived difficulty. The computing system also can generate a road surface along the path. Generating the road includes embedding metadata defining position-dependent resistance forces based on a physics model, the metadata controlling force feedback at virtual-reality equipment. The computing system also can supply the road surface to the virtual-reality equipment.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: October 1, 2024
    Assignee: George Mason University
    Inventors: Lap-Fai Yu, Wanwan Li
  • Patent number: 12048741
    Abstract: Recombinant viruses include one or more SHREK proteins and are thereby rendered non-infective and can be safely used in vaccines, e.g. to treat or prevent infections and to eliminate e.g. latent virus reservoirs.
    Type: Grant
    Filed: September 24, 2020
    Date of Patent: July 30, 2024
    Assignee: GEORGE MASON UNIVERSITY
    Inventors: Yuntao Wu, Deemah Dabbagh, Sijia He, Brian Hetrick
  • Patent number: 12033725
    Abstract: Provided is an engineered antimicrobial peptide. Also provided is a composition comprising an engineered antimicrobial peptide. Provided is a method of treating a subject in need thereof, comprising administering a therapeutically effective amount of a composition comprising an engineered antimicrobial peptide. Also provided is a method of producing an engineered antimicrobial peptide.
    Type: Grant
    Filed: August 25, 2022
    Date of Patent: July 9, 2024
    Assignee: GEORGE MASON UNIVERSITY
    Inventors: Shravani Bobde, Monique Van Hoek
  • Patent number: 12016834
    Abstract: Methods of treating or preventing cancer, diabetes, and/or obesity in a subject are provided. The methods comprise administering to a subject a therapeutically effective amount of an SLC25A1 inhibitor as described herein. Also provided herein are pharmaceutical compositions comprising an SLC25A1 inhibitor and a chemotherapeutic agent. Further provided herein are methods of inhibiting SLC25A1 in a cell.
    Type: Grant
    Filed: August 3, 2018
    Date of Patent: June 25, 2024
    Assignees: Georgetown University, George Mason University
    Inventors: Maria Laura Avantaggiati, Mikell Paige
  • Publication number: 20240173397
    Abstract: An Embodiment relates to a method comprising: co-expressing a viral vector of a virus of interest and a CD34 expression vector into a human cell line to produce virus particles such that CD34 incorporates into the virus particles; isolating the virus particles from the human cell line; blocking a viral infection; and wherein the method is configured for inhibiting the viral infection of the virus of interest.
    Type: Application
    Filed: November 29, 2023
    Publication date: May 30, 2024
    Applicant: GEORGE MASON UNIVERSITY
    Inventors: Yuntao Wu, Sijia He, Deemah Dabbagh
  • Patent number: 11997085
    Abstract: A method of authenticating a user that includes initializing the multi-factor authentication system based on an input; presenting a challenge requesting the user to enter a specific authenticator of a sequence of authenticators stored in the multi-factor authentication system, where the stored sequence of authenticators represents a combination of a plurality of authentication factors; receiving an authenticator from the user in response to the challenge; verifying identity of the user by determining whether the received authenticator matches the specific authenticator requested by the challenge; and granting the access based on a determination that the received authenticator matches the specific authenticator requested, or denying the access based on a determination that the received authenticator does not match the specific authenticator requested.
    Type: Grant
    Filed: February 14, 2022
    Date of Patent: May 28, 2024
    Assignee: GEORGE MASON UNIVERSITY
    Inventors: Emanuela Marasco, Massimiliano Albanese
  • Publication number: 20240160832
    Abstract: A method and system provide and utilize obfuscated fonts for displayable content. Responsive to a request for displayable content having text, a text portion of the requested displayable content to be obfuscated is determined. For that text portion, obfuscated fonts are provided, by retrieving obfuscated fonts or by generating obfuscated fonts from a set of obfuscated glyphs created from a plurality of glyphs representative of a plurality of characters of the text portion of the displayable content. The obfuscated fonts can be created by assigning obfuscated glyphs of the set into the obfuscated fonts in accordance with one or more messages. The obfuscated fonts are mapped by assigning a value to each obfuscated glyph in the set that is different from an original value of the glyph.
    Type: Application
    Filed: November 14, 2023
    Publication date: May 16, 2024
    Applicants: George Mason University, University of South Florida
    Inventors: Mingkui Wei, Yao Liu, Zhuo Lu, Junjie Xiong
  • Publication number: 20240158465
    Abstract: In an embodiment, present invention relates to a method of generating, ex vivo production of soluble Lox-1 (sLox-1), comprising: introducing a sample containing blood into a device; adding a coagulation enhancing material in the sample to form a cultured blood clot; incubating the cultured blood clot in the device at a temperature greater than 25° C. and less than 45° C. for at least 2 hours to allow production of Lox-1 from neutrophils of blood and to shed the sLox-1 outside the cultured blood clot; and collecting sLox-1 shedded in the device, wherein the method is configured to shed sLox-1 more than fresh blood.
    Type: Application
    Filed: November 22, 2023
    Publication date: May 16, 2024
    Applicant: GEORGE MASON UNIVERSITY
    Inventors: Caroline Dieckmann Hoemann, Julia Alexa Leonard, Virginia A. Espina, David Kepplinger
  • Patent number: 11963848
    Abstract: Devices and systems are disclosed which reduce compressional forces and allows for the induction of mild CCI injuries. An exemplary device features a resettable fall-away platform which allows for ultra-mild injuries to be induced on mice that are under light anesthesia. The result is injuries which do not produce long periods of unconsciousness, do not cause compressive injury and cause no increase in time-to-righting over control mice.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: April 23, 2024
    Assignee: GEORGE MASON UNIVERSITY
    Inventor: David Derickson Cerri
  • Publication number: 20240064160
    Abstract: A method and apparatus for intrusion detection includes generating graph data from a sequence of messages in a communication network. The graph data denotes a node for each message identifier in the sequence of messages and an edge for each pair of consecutive message identifiers. Pair counts are generated for edges in the graph data as a number of times the associated pair of consecutive message identifiers occurs in the sequence. Input feature vectors are generated for nodes in the graph data. The vectors include data content of messages associated with the node and a pair count for each edge connected to the node. The input feature vectors are processed through a first graph neural network, based on the graph data, and then through one or more layers of a classifier to classify the sequence of messages as containing an anomaly or not.
    Type: Application
    Filed: July 28, 2023
    Publication date: February 22, 2024
    Applicant: George Mason University
    Inventors: Hengrun Zhang, Kai Zeng