Patents by Inventor Veerandra S. Srivastava

Veerandra S. Srivastava 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).

  • Patent number: 11783247
    Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.
    Type: Grant
    Filed: July 28, 2022
    Date of Patent: October 10, 2023
    Assignee: Bank of America Corporation
    Inventors: Veerandra S. Srivastava, Maharaj Mukherjee, Mehul Jayant Pandya, Utkarsh Raj
  • Publication number: 20220366337
    Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.
    Type: Application
    Filed: July 28, 2022
    Publication date: November 17, 2022
    Inventors: Veerandra S. Srivastava, Maharaj Mukherjee, Mehul Jayant Pandya, Utkarsh Raj
  • Patent number: 11461713
    Abstract: Aspects of the disclosure relate to using machine learning for resource planning. A computing platform may detect an occupancy modification event for a physical space. Based on detecting the occupancy modification event, the computing platform may send commands directing display of a data collection prompt to end user devices, which may prompt for work to be performed by users of the end user devices in the physical space during a first day. Using natural language processing, the computing platform may analyze user input information and other occupancy data to determine whether or not the users of the end user devices have permission to occupy the physical space during the first day. The computing platform may cause the end user devices to display a resource management interface indicating whether or not the users of the end user devices have valid permission to physically occupy the physical space during the first day.
    Type: Grant
    Filed: August 10, 2020
    Date of Patent: October 4, 2022
    Assignee: Bank of America Corporation
    Inventors: Utkarsh Raj, Mehul Jayant Pandya, Maharaj Mukherjee, Veerandra S. Srivastava
  • Patent number: 11181877
    Abstract: Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: November 23, 2021
    Assignee: Bank of America Corporation
    Inventors: Maharaj Mukherjee, Jennifer Cooper, Jigar Shah, Prasad G. Ravva, Veerandra S. Srivastava, Karthikeyan Natanasabapathy, Mohanraj Subramaniam
  • Publication number: 20210286333
    Abstract: Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.
    Type: Application
    Filed: March 11, 2020
    Publication date: September 16, 2021
    Inventors: Maharaj Mukherjee, Jennifer Cooper, Jigar Shah, Prasad G. Ravva, Veerandra S. Srivastava, Karthikeyan Natanasabapathy, Mohanraj Subramaniam