Patents by Inventor Ashwin Chandra

Ashwin Chandra 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: 20250225817
    Abstract: A method includes obtaining image frames capturing one or more people in at least one scene and identifying features of the image frames. The method also includes providing the identified features to a trained spatiotemporal transformer machine learning model configured to generate a set of features for each of the one or more people. The set of features for each person includes facial features of the person and pose features of the person over time. The method further includes performing face identification using the facial features to generate one or more first embeddings representing at least one face of at least one person and performing gait identification using the pose features to generate one or more second embeddings representing at least one gait of at least one person. In addition, the method includes identifying at least one of the one or more people based on the first and second embeddings.
    Type: Application
    Filed: January 8, 2024
    Publication date: July 10, 2025
    Inventors: Andres Leonardo de Jesus Ortega Pena, Ashwin Chandra, Suk-Un Yoon
  • Patent number: 12044810
    Abstract: One embodiment provides a method comprising acquiring, via one or more microphones of a device in a spatial area, a signal representing at least one echo of an ultrasound emitted via one or more loudspeakers of the device. The method further comprises applying digital signal processing to the signal to determine a signal-to-noise ratio (SNR) of the signal, and estimating one or more properties of a moving reflector in the spatial area based on the SNR of the signal.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: July 23, 2024
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Andres Leonardo de Jesus Ortega Pena, Ashwin Chandra, David Ho Suk Chung
  • Publication number: 20240187687
    Abstract: A method includes obtaining one or more inputs at a first electronic device. The first electronic device includes a multi-task dynamic machine learning model that includes multiple sub-models configured to perform different machine learning functions. The method also includes dynamically controlling the sub-models used to process the one or more inputs based on at least one of: (i) the one or more inputs that are available for use or (ii) one or more outputs to be generated. The method further includes generating a set of contextual information associated with the first electronic device. At least a portion of the set of contextual information is associated with at least one user of the first electronic device. The method may additionally include sharing the set of contextual information with at least a second electronic device in a specified environment.
    Type: Application
    Filed: December 1, 2022
    Publication date: June 6, 2024
    Inventors: Andres Leonardo de Jesus Ortega Pena, Ashwin Chandra, Suk-Un Yoon, David Ho Suk Chung
  • Publication number: 20230204744
    Abstract: One embodiment provides a method comprising acquiring, via one or more microphones of a device in a spatial area, a signal representing at least one echo of an ultrasound emitted via one or more loudspeakers of the device. The method further comprises applying digital signal processing to the signal to determine a signal-to-noise ratio (SNR) of the signal, and estimating one or more properties of a moving reflector in the spatial area based on the SNR of the signal.
    Type: Application
    Filed: December 28, 2021
    Publication date: June 29, 2023
    Inventors: Andres Leonardo de Jesus Ortega Pena, Ashwin Chandra, David Ho Suk Chung
  • Publication number: 20200401908
    Abstract: A method includes generating one or more graphs representing automatic content recognition (ACR) data associated with a computing device; identifying one or more paths representing at least a portion of the one or more graphs; training one or more models based on inputting the one or more paths into one or more machine-learning algorithms; producing one or more embeddings from the one or more models; and clustering the one or more embeddings to provide at least one cluster corresponding to a behavioral profile associated with the computing device.
    Type: Application
    Filed: March 4, 2020
    Publication date: December 24, 2020
    Inventors: Andres Ortega, Ashwin Chandra, David Ho Suk Chung
  • Patent number: 9582365
    Abstract: Software for a distributed streaming platform launches an application that runs on a streaming platform, in real time or near real time rather than offline. The application is structured as a directed acyclic graph (DAG) with instances of operators as nodes and streams as edges between nodes. The software receives an indication that a first instance of an operator is I/O bound. A stream connects the first instance of an operator to a second instance of another operator in a single container provided by the streaming platform. The software then transmits the indication to the application and receives a request to combine the first instance with the second instance into a single third instance of an operator. The software creates the third instance and re-initiates the stream using a recovery policy.
    Type: Grant
    Filed: March 10, 2014
    Date of Patent: February 28, 2017
    Assignee: DataTorrent, Inc.
    Inventors: Chetan Narsude, Thomas Weise, Amol Kekre, Ashwin Chandra Putta
  • Patent number: 8578460
    Abstract: Technologies are generally described for automatically reconnecting a security principal to cloud services through correlation of security principal identifier attributes. A new security principal for a user may be detected and automatically reconnected to the user's cloud based services. An administrator for the security domains may specify a value of a unique security principal metadata attribute for the original security principal in a customizable security principal metadata attribute in the new security principal in the same or new security domain. A secondary verification metadata attribute may optionally be specified to ensure the correct security principal is reconnected to the user's cloud based resources. The correlation between the original security principal for the user and the new security principal may be used to reconnect the user's cloud resources.
    Type: Grant
    Filed: August 8, 2011
    Date of Patent: November 5, 2013
    Assignee: Microsoft Corporation
    Inventors: John B. Cucco, Veniamin Rybalka, Ulric Dihle, Larry Draper, Kanika Agrawal, Tony Chan, Guruprakash Rao, Ashwin Chandra
  • Publication number: 20120304262
    Abstract: Technologies are generally described for automatically reconnecting a security principal to cloud services through correlation of security principal identifier attributes. A new security principal for a user may be detected and automatically reconnected to the user's cloud based services. An administrator for the security domains may specify a value of a unique security principal metadata attribute for the original security principal in a customizable security principal metadata attribute in the new security principal in the same or new security domain. A secondary verification metadata attribute may optionally be specified to ensure the correct security principal is reconnected to the user's cloud based resources. The correlation between the original security principal for the user and the new security principal may be used to reconnect the user's cloud resources.
    Type: Application
    Filed: August 8, 2011
    Publication date: November 29, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: John B. Cucco, Veniamin Rybalka, Ulric Dihle, Larry Draper, Kanika Agrawal, Tony Chan, Guruprakash Rao, Ashwin Chandra