Patents by Inventor Krupa Srinivas

Krupa Srinivas 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: 10825134
    Abstract: Active Design maintains overall active and inactive space of a display by scaling active display components on a screen according to active and inactive blocks. By scaling the blocks relative to the screen size and maximizing active display components for ‘best-fit’ within the scaled blocks, a predictable scaling system is created that can deliver a more consistent experience for users across multiple form-factors. Active Design allows designers to use a single base display resolution for an entire class of form-factors and uses grid blocks to arrange elements.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: November 3, 2020
    Assignee: Owned Outcomes Inc.
    Inventors: Huzaifa Sial, Anita Pramoda, Chandan Singh, Rohan Singh Rajput, Dharini Govindarajan, Krupa Srinivas
  • Publication number: 20190304060
    Abstract: Active Design maintains overall active and inactive space of a display by scaling active display components on a screen according to active and inactive blocks. By scaling the blocks relative to the screen size and maximizing active display components for ‘best-fit’ within the scaled blocks, a predictable scaling system is created that can deliver a more consistent experience for users across multiple form-factors. Active Design allows designers to use a single base display resolution for an entire class of form-factors and uses grid blocks to arrange elements.
    Type: Application
    Filed: March 29, 2018
    Publication date: October 3, 2019
    Inventors: Huzaifa Sial, Anita Pramoda, Chandan Singh, Rohan Singh Rajput, Dharini Govindarajan, Krupa Srinivas
  • Publication number: 20190096525
    Abstract: A patient data management (“PDM”) system is disclosed herein. The PDM can provide doctors with an efficient and accurate means to extract medical diagnostic and treatment information from multi-perspective time based medical data. Further, the PDM provides a means to reduce computer processing time when training a neural network using medical data. In one aspect, a PDM system includes a preprocessor. The preprocessor receives patient data from a computer interface. In one non-limiting example, the preprocessor uses machine learning to extract patterns (“features”) from the data. The preprocessor formats the extracted features into a multidimensional tensor. In one non-limiting example, the PDM system includes a convolutional neural network (“CNN”). The preprocessor provides the tensor to the CNN. The CNN processes the tensor and extracts diagnostic and treatment information.
    Type: Application
    Filed: May 24, 2018
    Publication date: March 28, 2019
    Inventors: Mariusz Ferenc, Wojtek Kozlowski, Krupa Srinivas, Huzaifa Sial, Anita Pramoda