Patents by Inventor Anil Rajagopalan

Anil Rajagopalan 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: 20200019933
    Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a request for questions associated with a location and a category. The program also identifies a matrix, a hierarchy of locations associated with the matrix, and a hierarchy of categories associated with the matrix. The program further determines an aggregate collection of questions from a plurality of sets of questions based on the matrix, the hierarchy of locations, and the hierarchy of categories. The program also generates the aggregate collection of questions.
    Type: Application
    Filed: September 26, 2019
    Publication date: January 16, 2020
    Inventors: Sudhir Bhojwani, Lalitha Rajagopalan, Anil Mandava, Robert Wells, Tanvi Bakul Shah, Maria Elena Gammon, Prashant Bhagat, Steven Weigand, Yuan Tung, Gopalakrishnan Sundaram
  • Patent number: 10467588
    Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a request for questions associated with a location and a category. The program also identifies a matrix, a hierarchy of locations associated with the matrix, and a hierarchy of categories associated with the matrix. The program further determines an aggregate collection of questions from a plurality of sets of questions based on the matrix, the hierarchy of locations, and the hierarchy of categories. The program also generates the aggregate collection of questions.
    Type: Grant
    Filed: October 28, 2016
    Date of Patent: November 5, 2019
    Assignee: SAP SE
    Inventors: Sudhir Bhojwani, Lalitha Rajagopalan, Anil Mandava, Robert Wells, Tanvi Bakul Shah, Maria Elena Gammon, Prashant Bhagat, Steven Weigand, Yuan Tung, Gopalakrishnan Sundaram
  • Publication number: 20190220817
    Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a request for suppliers associated with a location and a category. The program also identifies a matrix, a hierarchy of locations associated with the matrix, and a hierarchy of categories associated with the matrix. The program further determines a set of suppliers by based on the location, the category, the matrix, the hierarchy of locations, and the hierarchy of categories.
    Type: Application
    Filed: March 26, 2019
    Publication date: July 18, 2019
    Inventors: Sudhir Bhojwani, Lalitha Rajagopalan, Anil Mandava, Robert Wells, Tanvi Bakul Shah, Maria Elena Gammon, Prashant Bhagat, Steven Weigand, Yuan Tung, Gopalakrishnan Sundaram
  • Patent number: 10289977
    Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a request for suppliers associated with a location and a category. The program also identifies a matrix, a hierarchy of locations associated with the matrix, and a hierarchy of categories associated with the matrix. The program further determines a set of suppliers by based on the location, the category, the matrix, the hierarchy of locations, and the hierarchy of categories.
    Type: Grant
    Filed: October 28, 2016
    Date of Patent: May 14, 2019
    Assignee: SAP SE
    Inventors: Sudhir Bhojwani, Lalitha Rajagopalan, Anil Mandava, Robert Wells, Tanvi Bakul Shah, Maria Elena Gammon, Prashant Bhagat, Steven Weigand, Yuan Tung, Gopalakrishnan Sundaram
  • Publication number: 20140356837
    Abstract: Disclosed is a system and method for enabling a student to achieve a proficiency level in a first learning grade on a learning management platform. A learning map generator is configured to generate an interactive learning map comprising a plurality of nodes on the learning management platform. The learning map generator is configured to form a layer comprising a first content object and a first assessment object on a first node of the plurality of nodes. Further, the learning map generator is configured to selectively embed on the first layer a plurality of content objects and a plurality of assessment objects from a Data Store using a recommendation engine. A visualization engine is configured to display the interactive learning map to the student and an instructor. The instructor evaluates the performance of the student accessing and attempting the plurality of content objects and the plurality of assessment objects respectively on the interactive learning map.
    Type: Application
    Filed: May 30, 2013
    Publication date: December 4, 2014
    Applicant: LoudCloud Systems Inc.
    Inventors: Manoj Kutty, Harish Samgod Joshy, Chandra Shekhar Ghildiyal, Anil Rajagopalan, Bhavesh R. Bhanushali