Patents by Inventor Sai Phanindra VENKATAPURAPU

Sai Phanindra VENKATAPURAPU 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: 20230052327
    Abstract: Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed.
    Type: Application
    Filed: November 3, 2022
    Publication date: February 16, 2023
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Sai Phanindra VENKATAPURAPU, Mrinal Kanti MANDAL, Jerome Patrick OFFNER, Rakesh Vidya Chandra KAPILA, Gaurav DWIVEDI, Qian CHEN, Julia Hui-ling CHEN, Samuel Pierce BURNS, Paul M. D'ALESSANDRO
  • Patent number: 11520957
    Abstract: Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed.
    Type: Grant
    Filed: May 14, 2020
    Date of Patent: December 6, 2022
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Sai Phanindra Venkatapurapu, Mrinal Kanti Mandal, Jerome Patrick Offner, Rakesh Vidya Chandra Kapila, Gaurav Dwivedi, Qian Chen, Julia Hui-ling Chen, Samuel Pierce Burns, Paul M. D'Alessandro
  • Publication number: 20210357556
    Abstract: Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed.
    Type: Application
    Filed: May 14, 2020
    Publication date: November 18, 2021
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Sai Phanindra VENKATAPURAPU, Mrinal Kanti MANDAL, Jerome Patrick OFFNER, Rakesh Vidya Chandra KAPILA, Gaurav DWIVEDI, Qian CHEN, Julia Hui-ling CHEN, Samuel Pierce BURNS, Paul M. D'ALESSANDRO