Patents by Inventor Mustaque Ahamad

Mustaque Ahamad 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).

  • Publication number: 20240223697
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: February 8, 2024
    Publication date: July 4, 2024
    Applicant: GEORGIA TECH RESEARCH CORPORATION
    Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Traynor, Michael Thomas HUNTER, Aamir POONAWALLA
  • Publication number: 20240137439
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: December 15, 2023
    Publication date: April 25, 2024
    Applicant: GEORGIA TECH RESEARCH CORPORATION
    Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
  • Patent number: 11849065
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: June 3, 2021
    Date of Patent: December 19, 2023
    Assignee: Georgia Tech Research Corporation
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20210295861
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: June 3, 2021
    Publication date: September 23, 2021
    Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
  • Patent number: 11050876
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: June 29, 2021
    Assignee: Georgia Tech Research Corporation
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20200137222
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: December 30, 2019
    Publication date: April 30, 2020
    Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
  • Patent number: 10523809
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: November 9, 2016
    Date of Patent: December 31, 2019
    Assignee: Georgia Tech Research Corporation
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20170126884
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: November 9, 2016
    Publication date: May 4, 2017
    Applicant: Georgia Tech Research Corporation
    Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
  • Patent number: 9516497
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: May 18, 2015
    Date of Patent: December 6, 2016
    Assignee: GEORGIA TECH RESEARCH CORPORATION
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20150257001
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: May 18, 2015
    Publication date: September 10, 2015
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Patent number: 9037113
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Grant
    Filed: June 29, 2011
    Date of Patent: May 19, 2015
    Assignee: Georgia Tech Research Corporation
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20130109358
    Abstract: Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.
    Type: Application
    Filed: June 29, 2011
    Publication date: May 2, 2013
    Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
  • Publication number: 20080256256
    Abstract: Systems and methods are provided for maximizing call throughput in a server network by optimizing the balance of stateful to stateless handling or transactions at each server within the network. The identification of transaction messages to be handled statelessly or statefully is made at each proxy server within the network in order to maximize the total throughput at that proxy server within prescribed processor utilization limits. In general, each transaction is handled statefully by at least one server within the network. Reports on the stateful handling of messages and the resource consumption at various proxies are communicated throughout the network to be used in identifying the ratio of messages to be forwarded statefully to messages to be forwarded statelessly at any given proxy.
    Type: Application
    Filed: April 10, 2007
    Publication date: October 16, 2008
    Applicant: International Business Machines Corporation
    Inventors: Arup Acharya, Vijay A. Balasubramaniyan, Mustaque Ahamad