Patents by Inventor Christopher Ali Mirabzadeh

Christopher Ali Mirabzadeh 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).

  • Patent number: 11893505
    Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: February 6, 2024
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Scott Buzan, Jared Dirk Sol, Timothy Seegan, Joseph Henderson Ashmore, Christopher Ali Mirabzadeh
  • Publication number: 20220398857
    Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
    Type: Application
    Filed: June 24, 2022
    Publication date: December 15, 2022
    Inventors: Samuel Cameron Fleming, David Craig Andrews, Jared Dirk Sol, Scott Buzan, Timothy Seegan, Christopher Ali Mirabzadeh
  • Patent number: 11373424
    Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: June 28, 2022
    Assignee: AON RISK SERVICES, INC. OF MARYLAND
    Inventors: Samuel Cameron Fleming, David Craig Andrews, Jared Dirk Sol, Scott Buzan, Timothy Seegan, Christopher Ali Mirabzadeh