Patents by Inventor Sandeep K. S. Gupta

Sandeep K. S. Gupta 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 hybrid automata mining from input-output traces of cyber-physical systems
    Patent number: 11054807
    Abstract: Systems and methods for mining hybrid automata from input-output traces of cyber-physical systems are disclosed herein.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: July 6, 2021
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Sandeep K. S. Gupta, Ayan Banerjee, Imane Lamrani
  • Framework for security strength and performance analysis of machine learning based biometric systems
    Patent number: 10671735
    Abstract: A framework for measuring the security strength of bio-metric security systems against spoofing attacks considering the adversary's knowledge about the system is disclosed.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: June 2, 2020
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Sandeep K. S. Gupta, Ayan Banerjee, Seyed Koosha Sadeghi Oskooyee, Mohammad Javad Sohankar Esfahani
  • SYSTEMS AND METHODS FOR HYBRID AUTOMATA MINING FROM INPUT-OUTPUT TRACES OF CYBER-PHYSICAL SYSTEMS
    Publication number: 20190354087
    Abstract: Systems and methods for mining hybrid automata from input-output traces of cyber-physical systems are disclosed herein.
    Type: Application
    Filed: May 15, 2019
    Publication date: November 21, 2019
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Sandeep K.S. Gupta, Ayan Banerjee, Imane Lamrani
  • Systems and methods for model-based non-contact physiological data acquisition
    Patent number: 10342447
    Abstract: System and method for non-contact acquisition of current physiological data representing a subject. A first electromagnetic wave representing current physiological status of a first subject is modified by a second electromagnetic wave representing current physiological status of a second subject in proximity to the first subject. A parameter of the first electromagnetic wave representing a first physiological status of a first subject is measured with electronic circuitry to extract a parameter of the second electromagnetic wave. Historical physiological data associated with the second subject is acquired. The current physiological data representing current physiological status of the second subject is then derived based on historical physiological data of the second subject and a comparison between the first and second parameters.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: July 9, 2019
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Ayan Banerjee, Sandeep K. S. Gupta, Priyanka Bagade
  • FRAMEWORK FOR SECURITY STRENGTH AND PERFORMANCE ANALYSIS OF MACHINE LEARNING BASED BIOMETRIC SYSTEMS
    Publication number: 20180300487
    Abstract: A framework for measuring the security strength of bio-metric security systems against spoofing attacks considering the adversary's knowledge about the system is disclosed.
    Type: Application
    Filed: April 10, 2018
    Publication date: October 18, 2018
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Sandeep K.S. Gupta, Ayan Banerjee, Seyed Koosha Sadeghi Oskooyee, Mohammad Javad Sohankar Esfahani
  • SYSTEMS AND METHODS FOR MODEL-BASED NON-CONTACT PHYSIOLOGICAL DATA ACQUISITION
    Publication number: 20170202474
    Abstract: System and method for non-contact acquisition of current physiological data representing a subject. A first electromagnetic wave representing current physiological status of a first subject is modified by a second electromagnetic wave representing current physiological status of a second subject in proximity to the first subject. A parameter of the first electromagnetic wave representing a first physiological status of a first subject is measured with electronic circuitry to extract a parameter of the second electromagnetic wave. Historical physiological data associated with the second subject is acquired. The current physiological data representing current physiological status of the second subject is then derived based on historical physiological data of the second subject and a comparison between the first and second parameters.
    Type: Application
    Filed: March 31, 2017
    Publication date: July 20, 2017
    Inventors: Ayan Banerjee, Sandeep K. S. Gupta
  • Systems and methods for model-based non-contact physiological data acquisition
    Patent number: 9642543
    Abstract: System and method for non-contact acquisition of current physiological data representing a subject. A first electromagnetic wave representing current physiological status of a first subject is modified by a second electromagnetic wave representing current physiological status of a second subject in proximity to the first subject. A parameter of the first electromagnetic wave representing a first physiological status of a first subject is measured with electronic circuitry to extract a parameter of the second electromagnetic wave. Historical physiological data associated with the second subject is acquired. The current physiological data representing current physiological status of the second subject is then derived based on historical physiological data of the second subject and a comparison between the first and second parameters.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: May 9, 2017
    Assignee: ARIZONA BOARD OF REGENTS
    Inventors: Ayan Banerjee, Sandeep K. S. Gupta
  • SYSTEMS AND METHODS FOR MODEL-BASED NON-CONTACT PHYSIOLOGICAL DATA ACQUISITION
    Publication number: 20150087931
    Abstract: System and method for non-contact acquisition of current physiological data representing a subject. A first electromagnetic wave representing current physiological status of a first subject is modified by a second electromagnetic wave representing current physiological status of a second subject in proximity to the first subject. A parameter of the first electromagnetic wave representing a first physiological status of a first subject is measured with electronic circuitry to extract a parameter of the second electromagnetic wave. Historical physiological data associated with the second subject is acquired. The current physiological data representing current physiological status of the second subject is then derived based on historical physiological data of the second subject and a comparison between the first and second parameters.
    Type: Application
    Filed: November 14, 2014
    Publication date: March 26, 2015
    Inventors: Ayan Banerjee, Sandeep K. S. Gupta