Patents by Inventor Reza Soleimani

Reza Soleimani 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: 11704351
    Abstract: In one example, a system can receive a set of text samples and generate a set of summaries based on the set of text samples. The system can then generate a training dataset by iteratively executing a training-sample generation process. Each iteration can involve selecting multiple text samples from the set of text samples, combining the multiple text samples together into a training sample, determining a text category and a summary corresponding to a selected one of the multiple text samples, and including the text category and the summary in the training sample. After generating the training dataset, the system can use it to train a model. The trained model can then receive a target textual dataset and a target category as input, identify a portion of the target textual dataset corresponding to the target category, and generate a summarization of the portion of that target textual dataset.
    Type: Grant
    Filed: October 28, 2022
    Date of Patent: July 18, 2023
    Assignee: SAS Institute, Inc.
    Inventors: Reza Soleimani, Samuel Leeman-Munk, David Blake Styles
  • Patent number: 11501084
    Abstract: In one example, a system can execute a first machine-learning model to determine an overall classification for a textual dataset. The system can also determine classification scores indicating the level of influence that each token in the textual dataset had on the overall classification. The system can select a first subset of the tokens based on their classification scores. The system can also execute a second machine-learning model to determine probabilities that the textual dataset falls into various categories. The system can determine category scores indicating the level of influence that each token had on a most-likely category determination. The system can select a second subset of the tokens based on their category scores. The system can then generate a first visualization depicting the first subset of tokens color-coded to indicate their classification scores and a second visualization depicting the second subset of tokens color-coded to indicate their category scores.
    Type: Grant
    Filed: May 18, 2022
    Date of Patent: November 15, 2022
    Assignee: SAS INSTITUTE INC.
    Inventors: Reza Soleimani, Samuel Paul Leeman-Munk, James Allen Cox, David Blake Styles
  • Publication number: 20200098819
    Abstract: Implementations of image sensors may include a semiconductor layer including a photodiode, a metal layer or metal silicide layer directly coupled to a first side of the photodiode, and a storage node coupled within a second side of the photodiode. The metal layer or metal silicide layer may be configured to absorb one or more predetermined wavelengths of incident light and correspondingly heat a portion of the semiconductor layer.
    Type: Application
    Filed: November 26, 2019
    Publication date: March 26, 2020
    Applicant: SEMICONDUCTOR COMPONENTS INDUSTRIES, LLC
    Inventors: Victor LENCHENKOV, Hamid Reza SOLEIMANI