Patents by Inventor Paul M. D'Alessandro

Paul M. D'Alessandro 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: 11564637
    Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: January 31, 2023
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Paul M. D'Alessandro, Mark Paich, Samuel Pierce Burns, Joydeep Sarkar, Gaurav Dwivedi, Colleen Chelini
  • Patent number: 11564635
    Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: January 31, 2023
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Paul M. D'Alessandro, Mark Paich, Samuel Pierce Burns, Joydeep Sarkar, Gaurav Dwivedi, Colleen Chelini
  • Patent number: 11564638
    Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: January 31, 2023
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Paul M. D'Alessandro, Mark Paich, Samuel Pierce Burns, Joydeep Sarkar, Gaurav Dwivedi, Colleen Chelini
  • Patent number: 11564636
    Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: January 31, 2023
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Paul M. D'Alessandro, Mark Paich, Samuel Pierce Burns, Joydeep Sarkar, Gaurav Dwivedi, Colleen Chelini
  • 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
  • Patent number: 10398389
    Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.
    Type: Grant
    Filed: April 11, 2016
    Date of Patent: September 3, 2019
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Paul M. D'Alessandro, Mark Paich, Samuel Pierce Burns, Joydeep Sarkar, Gaurav Dwivedi, Colleen Chelini
  • Publication number: 20030154135
    Abstract: An interactive system and method for shopping is disclosed that separates the shopping process from the buying process. In one embodiment, the system includes an in-store/in-mall computer system and a plurality of handheld scanners configured to scan product information and upload that information to a central database. The system further includes an interactive Web site that is in communication with the database. The system allows a user to scan items for a wish list at participating stores before or after creating an account with the system. The system also allows buyers to easily shop for others by searching for a user's wish list and personal preferences at the system Web site. Furthermore, the system allows the user to select one or more buyers from an address book and notify the selected buyers of a specific wish list via e-mail.
    Type: Application
    Filed: December 19, 2001
    Publication date: August 14, 2003
    Inventors: Robert D. Covington, Melanie A. Al-Shabkhoun, Andrew D. Carlson, Sandeep Chugani, Drew Conrad, Paul M. D'Alessandro, John E. Kalil, Jason Kunesh, Charles Brent Lohrmann, James C. Spira, John Sviokla, Darren S. Yaphe, Lorraine McGlone