Patents by Inventor Ali Haddad

Ali Haddad 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).

  • Self learning machine learning transaction scores adjustment via normalization thereof accounting for underlying transaction score bases relating to an occurrence of fraud in a transaction
    Patent number: 11694208
    Abstract: Provided are a system and methodology for iteratively measuring data, as between multiple sets thereof, that accounts for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
    Type: Grant
    Filed: December 5, 2022
    Date of Patent: July 4, 2023
    Assignee: Socure, Inc.
    Inventors: Pablo Ysrrael Abreu, Omar Gutierrez, Ali Haddad, Stanislav Palatnik, Lukas Dylan Osborne
  • Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof Accounting for Underlying Transaction Score Bases
    Publication number: 20230169511
    Abstract: Provided are a system and methodology for iteratively measuring data, as between multiple sets thereof, that accounts for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
    Type: Application
    Filed: December 5, 2022
    Publication date: June 1, 2023
    Applicant: Socure, Inc.
    Inventors: Pablo Ysrrael ABREU, Omar GUTIERREZ, Ali HADDAD, Stanislav PALATNIK, Lukas Dylan OSBORNE
  • Self learning machine learning transaction scores adjustment via normalization thereof accounting for underlying transaction score bases
    Patent number: 11544715
    Abstract: Provided are a system and methodology for iteratively transforming data, as between multiple sets thereof, that account for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
    Type: Grant
    Filed: March 7, 2022
    Date of Patent: January 3, 2023
    Assignee: Socure, Inc.
    Inventors: Pablo Ysrrael Abreu, Omar Gutierrez, Ali Haddad, Stansilav Palatnik, Lukas Dylan Osborne
  • Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof Accounting for Underlying Transaction Score Bases
    Publication number: 20220327542
    Abstract: Provided are a system and methodology for iteratively transforming data, as between multiple sets thereof, that account for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
    Type: Application
    Filed: March 7, 2022
    Publication date: October 13, 2022
    Applicant: Socure, Inc.
    Inventors: Pablo Ysrrael ABREU, Omar GUTIERREZ, Ali HADDAD, Stanislav PALATNIK, Lukas Dylan OSBORNE
  • Self learning machine learning transaction scores adjustment via normalization thereof
    Patent number: 11270230
    Abstract: Provided are a system and methodology for iteratively transforming data as between multiple sets thereof. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
    Type: Grant
    Filed: April 12, 2021
    Date of Patent: March 8, 2022
    Assignee: Socure, Inc.
    Inventors: Pablo Y. Abreu, Omar Gutierrez, Ali Haddad, Stanislav Palatnik
  • Self learning machine learning pipeline for enabling identity verification
    Patent number: 10956916
    Abstract: The system and methodology of the present invention employs novel machine learning techniques in order to periodically update and supplement a set of identity verification databases used in connection with KYC determinations. The system and methodology of the present invention periodically receives updated identity data from third-party sources and may also use customer logic input provided to update the model used in making KYC determinations. The system of the present invention further updates and optimizes the identity verification databases and selectively deploys them in a production environment without requiring any human intervention, such that identity verification is incrementally improved over time as more identity data is provided to the system.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: March 23, 2021
    Assignee: Socure, Inc.
    Inventors: Pablo Ysrrael Abreu, Ali Haddad, Elliot John Hughes, Vijin K. P. Parambath
  • System and method for anomaly detection and extraction
    Patent number: 9786275
    Abstract: The present invention relates to a system for suppressing transient interference from a signal. The system includes a modeling system, wherein the modeling system constructs a model of transient interference from a first signal, and a filtering system, wherein the filtering system suppresses transient interference from a second signal by applying the model to the second signal.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: October 10, 2017
    Assignee: YALE UNIVERSITY
    Inventors: Ronald R. Coifman, Ali Haddad, Ronen Talmon
  • System and Method for Anomaly Detection and Extraction
    Publication number: 20150046156
    Abstract: The present invention relates to a system for suppressing transient interference from a signal. The system includes a modeling system, wherein the modeling system constructs a model of transient interference from a first signal, and a filtering system, wherein the filtering system suppresses transient interference from a second signal by applying the model to the second signal.
    Type: Application
    Filed: March 15, 2013
    Publication date: February 12, 2015
    Inventors: Ronald R. Coifman, Ali Haddad, Ronen Talmon