Patents by Inventor Atique BADAR-E-MUNIR

Atique BADAR-E-MUNIR 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).

  • System and method for machine learning architecture for interdependence detection
    Patent number: 11880394
    Abstract: A system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity names associated with each of the text string; processing, using a machine learning engine, the text strings to extract estimated economic relationships identified between at least two different entity names. The estimated economic relationships are aggregated for each pair of entity names to establish of potential interdependence between the pair of entity names. An output data structure is generated based at least on the aggregated estimated economic relationships.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: January 23, 2024
    Assignee: ROYAL BANK OF CANADA
    Inventors: Roxana Zamfir, Atique Badar-E-Munir, Ivana Wright, Mohammadreza Dadkhah, Guhan Pattamadai Kashyap, Ananya Roy, Diane Elizabeth Fenton, Hang Peng
  • SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE FOR INTERDEPENDENCE DETECTION
    Publication number: 20210073247
    Abstract: A system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity names associated with each of the text string; processing, using a machine learning engine, the text strings to extract estimated economic relationships identified between at least two different entity names. The estimated economic relationships are aggregated for each pair of entity names to establish of potential interdependence between the pair of entity names. An output data structure is generated based at least on the aggregated estimated economic relationships.
    Type: Application
    Filed: September 4, 2020
    Publication date: March 11, 2021
    Inventors: Roxana ZAMFIR, Atique BADAR-E-MUNIR, Ivana WRIGHT, Mohammadreza DADKHAH, Guhan Pattamadai KASHYAP, Ananya ROY, Diane Elizabeth FENTON, Hang PENG