Patents by Inventor Shilpi Harpavat

Shilpi Harpavat 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: 20220383151
    Abstract: Aspects of the subject disclosure may include, for example, obtaining roaming agreement data related to roaming agreements that are between a wireless provider and a respective one of a plurality of wireless roaming providers; obtaining, for each wireless subscriber of the wireless provider, respective roaming usage data, all of the respective roaming usage data comprising collective roaming usage data; training, based upon the collective roaming usage data, a set of one or more models, the one or more models comprising one or more statistical models, one or more machine learning models, or any combination thereof, the one or more models being trained with multiple iterations of feedback loops, and the training resulting in one or more trained models; estimating for each wireless subscriber, based upon the one or more trained models, respective projected location information for a future time, all of the respective projected location information comprising collective projected location information; obtaining,
    Type: Application
    Filed: May 26, 2021
    Publication date: December 1, 2022
    Applicants: AT&T Intellectual Property I, L.P., AT&T Mobility II LLC
    Inventors: Yukun Zeng, Prince Paulraj, Sherri Rogers, Scott Alexander, Shilpi Harpavat, Shreyash Taywade, Aubryn Lewis, Cameron Dunn, Sandeep David Golkonda, Roli Arora
  • Publication number: 20210173822
    Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.
    Type: Application
    Filed: February 5, 2020
    Publication date: June 10, 2021
    Inventors: Prince Paulraj, Shilpi Harpavat, Weiping Liu, Shreyash Taywade, Arjun Coimbatore Nagarasan, Yukun Zeng, Prabhu Gururaj
  • Publication number: 20190361759
    Abstract: Disclosed are systems, methods and computer-readable media for identifying failed points in a network in real time. The system and method employ a topology database against which parsed and enhanced fault notifications are compared to identify the location of the fault notifications. The fault notifications are associated into a single event. A root cause analysis module having machine learning capabilities is used to match the single event with a predicted root cause by accessing a root cause database established with existing historic data and heuristically derived failure scenarios.
    Type: Application
    Filed: May 22, 2018
    Publication date: November 28, 2019
    Inventors: Lucus Haugen, Prince Paulraj, Christopher Tsai, Hui Miao, Prabhu Gururaj, Shilpi Harpavat, Sheldon Meredith
  • Publication number: 20170046497
    Abstract: One or more simulations are generated for in-home monitoring. The simulations model sensory detection of a user's physical activities using a different number and/or a different combination of sensors. Each different simulation may thus be associated with an accuracy and a cost, depending on the number and/or combination of sensors. The simulations thus present a range of sensory configurations that balance accuracy and affordability, from which an optimum sensory solution may be determined for the in-home monitoring.
    Type: Application
    Filed: August 11, 2015
    Publication date: February 16, 2017
    Inventors: Vc Ramesh, Michael G. Branam, Philip Edward Brown, Lee Callaway, Halim Damerdji, Shilpi Harpavat, Azeddine Kasmi, Terri A. Lewis, Sunil Nakrani, Tung Nguyen, Maruthi Nori, Prince Paulraj, Homayoun Torab, Christopher L. Tsai