Patents by Inventor Nazgol Tavabi

Nazgol Tavabi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for a text mining approach for predicting exploitation of vulnerabilities
    Patent number: 11520900
    Abstract: Various embodiments of a computer-implemented framework for predicting exploitation of software vulnerabilities are disclosed.
    Type: Grant
    Filed: August 22, 2019
    Date of Patent: December 6, 2022
    Assignees: Arizona Board of Regents on Behalf of Arizona State University, University of Southern California
    Inventors: Nazgol Tavabi, Palash Goyal, Kristina Lerman, Mohammed Almukaynizi, Paulo Shakarian
  • SYSTEMS AND METHODS FOR A TEXT MINING APPROACH FOR PREDICTING EXPLOITATION OF VULNERABILITIES
    Publication number: 20220229912
    Abstract: Various embodiments of a computer-implemented framework for predicting exploitation of software vulnerabilities are disclosed.
    Type: Application
    Filed: August 22, 2019
    Publication date: July 21, 2022
    Applicants: Arizona Board of Regents on Behalf of Arizona State University, University of Southern California
    Inventors: Nazgol Tavabi, Palash Goyal, Kristina Lerman, Mohammed Almukaynizi, Paulo Shakarian
  • Detecting fatigue based on electroencephalogram (EEG) data
    Patent number: 10827942
    Abstract: In one aspect, an apparatus for detecting fatigue comprises a dry-contact electroencephalogram (EEG) electrode to measure EEG data operably coupled to at least one processor. The at least one processor is to: calculate a frequency domain representation of the EEG data, detect spectral features indicative of fatigue based on the frequency domain representation; and determine whether the brain is fatigued based on the detection. In another aspect, a method for detecting fatigue comprises receiving EEG data from dry-contact EEG electrode, calculating a frequency domain representation of the EEG data, detecting spectral features indicative of fatigue based on the frequency domain representation; and determining whether the brain is fatigued based on the detection.
    Type: Grant
    Filed: January 3, 2018
    Date of Patent: November 10, 2020
    Assignee: Intel Corporation
    Inventors: Nazgol Tavabi, Leili Tavabi, Marissa Powers, Esther Jun Kim, Olufemi B. Oluwafemi
  • DETECTING FATIGUE BASED ON ELECTROENCEPHALOGRAM (EEG) DATA
    Publication number: 20190038166
    Abstract: In one aspect, an apparatus for detecting fatigue comprises a dry-contact electroencephalogram (EEG) electrode to measure EEG data operably coupled to at least one processor. The at least one processor is to: calculate a frequency domain representation of the EEG data, detect spectral features indicative of fatigue based on the frequency domain representation; and determine whether the brain is fatigued based on the detection. In another aspect, a method for detecting fatigue comprises receiving EEG data from dry-contact EEG electrode, calculating a frequency domain representation of the EEG data, detecting spectral features indicative of fatigue based on the frequency domain representation; and determining whether the brain is fatigued based on the detection.
    Type: Application
    Filed: January 3, 2018
    Publication date: February 7, 2019
    Applicant: Intel Corporation
    Inventors: Nazgol Tavabi, Leili Tavabi, Marissa Powers, Esther Jun Kim, Olufemi B. Oluwafemi