Patents by Inventor Shreyas Srikar

Shreyas Srikar 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 analyzing data by identifying patterns
    Patent number: 11551296
    Abstract: Systems and methods for identifying a pattern in data to detect a behavior of interest. The systems and methods receive a data stream representing a series of events occurring over a time interval. The systems and methods determine, for the interval, a depth indicating the amount of interest during the interval, where the interest represents an amount of a selected activity during that interval for a selected parameter. The systems and methods also generate a depth chart for the activities at different values of the selected parameter over a series of intervals, train a machine-learning image-classification model using depth chart images; identify the behavior of interest using predictions from the trained machine-learning model and target pattern; and provide an indication of the presence or absence of the behavior of interest. The parameter can represent a quantity and associated price of a commodity in a market.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: January 10, 2023
    Assignee: Financial Industry Regulatory Authority, Inc.
    Inventors: Shreyas Srikar, Chi-Keung Chow, Raghu Raman, Madhukesh Siddalingaiah, Susan Tibbs
  • SYSTEM AND METHOD FOR ANALYZING DATA BY IDENTIFYING PATTERNS
    Publication number: 20210350457
    Abstract: Systems and methods for identifying a pattern in data to detect a behavior of interest. The systems and methods receive a data stream representing a series of events occurring over a time interval. The systems and methods determine, for the interval, a depth indicating the amount of interest during the interval, where the interest represents an amount of a selected activity during that interval for a selected parameter. The systems and methods also generate a depth chart for the activities at different values of the selected parameter over a series of intervals, train a machine-learning image-classification model using depth chart images; identify the behavior of interest using predictions from the trained machine-learning model and target pattern; and provide an indication of the presence or absence of the behavior of interest. The parameter can represent a quantity and associated price of a commodity in a market.
    Type: Application
    Filed: May 5, 2020
    Publication date: November 11, 2021
    Applicant: Financial Industry Regulatory Authority, Inc.
    Inventors: Shreyas Srikar, Chi-Keung Chow, Raghu Raman, Madhu Siddalingaiah, Susan Tibbs