Patents by Inventor Asim Iqbal

Asim Iqbal 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: 20220101997
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing representations of EEG measurements. One of the methods includes obtaining a plurality of EEG signal measurements corresponding to respective EEG trials of a user; generating a time-domain representation from the plurality of EEG signal measurements, where the time-domain representation includes a plurality of rows, and where each row corresponds to a different set of one or more EEG signal measurements; applying the time-domain representation as input to a neural network having a plurality of network parameters, final values of the network parameters having been determined by a transfer learning process where the neural network is initially trained to perform an image processing task and the neural network is subsequently trained to perform EEG analysis; and obtaining, from the neural network, a mental health prediction for the user.
    Type: Application
    Filed: September 30, 2020
    Publication date: March 31, 2022
    Inventors: Asim Iqbal, Mustafa Ispir, Garrett Raymond Honke, Nina Thigpen, Vladimir Miskovic, Pramod Gupta
  • Publication number: 20220015659
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating embeddings of EEG measurements. One of the methods includes obtaining a two-dimensional time-frequency electroencephalogram (EEG) representation corresponding to one or more EEG signal measurements of a user; processing the time-frequency EEG representation using a first neural network having a plurality of first network parameters to generate an embedding of the time-frequency EEG representation, wherein the first neural network has been trained using transfer learning; and providing the embedding of the time-frequency EEG representation to a downstream neural network to generate a mental health prediction for the user.
    Type: Application
    Filed: July 15, 2020
    Publication date: January 20, 2022
    Inventors: Mustafa Ispir, Asim Iqbal, Pramod Gupta, Garrett Raymond Honke, Vladimir Miskovic
  • Publication number: 20160247205
    Abstract: A number of embodiments are described of social e-commerce networking systems and methods. A social e-commerce networking system, having one or more users, where one user with a device, or multiple devices, that logs into a social e-commerce networking system, allows one or more advertisers to serve one or more advertisements, with different messages or different media formats, to one or more mobile or computing devices of a logged user to the social e-commerce networking system, at different points of time, and at different locations. One embodiment is a social e-commerce media networking platform system that is based on a ‘network of social networks’, in which the platform system encompasses multiple targeted social networks, including those of specific interests. These networks may also be targeted emphasizing specific user groups based on their interests, age or location.
    Type: Application
    Filed: October 3, 2014
    Publication date: August 25, 2016
    Inventors: THOMAS HENRIK ZILIACUS, ASIM IQBAL QURESHI