Patents by Inventor Sreekar KRISHNA

Sreekar KRISHNA 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: 20240144147
    Abstract: The invention relates to computer-implemented systems and methods for implementing an innovative Responsible AI Common Controls framework for AI Governance. The system of an embodiment of the present invention focuses on connectivity, communication, automation, reporting and case management around critical AI Governance controls.
    Type: Application
    Filed: October 26, 2023
    Publication date: May 2, 2024
    Inventors: Kelly Combs, Swaminathan Chandrasekaran, Sreekar Krishna, Na Li, Martin Sokalski, Yiwen Zhang
  • Patent number: 11917672
    Abstract: A wireless user device wirelessly receives an indication of selected resource blocks in a frequency channel that are selected for radio signal measurement and unselected resource blocks in the frequency channel that are unselected for the radio signal measurement. The wireless user device wirelessly measures a radio signal metric for the selected resource blocks in the radio channel and does not measure the radio signal metric for the unselected resource blocks in the radio channel. The wireless user device wirelessly transfers the radio signal metric for the selected resource blocks in the radio channel. The wireless user device wirelessly receives a schedule for the selected resource blocks in the radio channel. The wireless user device wirelessly receives data over the selected resource blocks in the radio channel based on the schedule.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: February 27, 2024
    Assignee: T-MOBILE INNOVATIONS LLC
    Inventors: Anirudh Krishna, Sreekar Marupaduga, Ravi Varma Kallepalli, Maher Ahmad Hasan, Vladyslav Bereslavskyy
  • Publication number: 20220207135
    Abstract: A cyber security system employing machine learning techniques to help predict and protect computing systems from cyber-attacks. The system comprises data sources for storing security data, a deployment infrastructure for generating a portion of the security data insights, and a data analytics module for processing the security data. The data analytics module includes a data connector unit for collecting and organizing the security data into a selected format, a data preprocessing unit for cleaning the organized security data, a cyber feature unit for identifying based on preselected cyber features selected portions of the cleaned security data associated with the cyber features, a model development unit for applying one or more selected machine learning techniques to the features to form output model data, and a model prediction unit for generating based on the output model data one or more prediction values based on the cleaned security data and the cyber features.
    Type: Application
    Filed: October 4, 2021
    Publication date: June 30, 2022
    Inventors: Vijay JAJOO, Sreekar KRISHNA, Yiwen ZHANG, Anthony Lanting GAWRON