Patents by Inventor Stanley Yuen

Stanley Yuen 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: 11870812
    Abstract: A cyberrisk governance method to automate cybersecurity detection and resolution in a network is disclosed. The method includes monitoring data related to one or more cybersecurity, Information Technology (IT) operation responses, and governance controls to address regulation, compliance and enterprise risk. Further, the method includes detecting one or more threats in the data using Machine Learning (ML). The one or more threats correspond to at least a malware detection, an intrusion detection, fraud detection for IT, and user behavioral analysis for the internet of things (IoT). The method further includes generating a report for a user based at least on the detected one or more threats. The generated report includes one or more security information and one or more security patches. Thereafter, the method includes sending the generated report to the user, thereby automating cybersecurity detection and resolution in the network.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: January 9, 2024
    Inventor: Stanley Yuen Li
  • Publication number: 20220329630
    Abstract: A cyberrisk governance method to automate cybersecurity detection and resolution in a network is disclosed. The method includes monitoring data related to one or more cybersecurity, Information Technology (IT) operation responses, and governance controls to address regulation, compliance and enterprise risk. Further, the method includes detecting one or more threats in the data using Machine Learning (ML). The one or more threats correspond to at least a malware detection, an intrusion detection, fraud detection for IT, and user behavioral analysis for the internet of things (IoT). The method further includes generating a report for a user based at least on the detected one or more threats. The generated report includes one or more security information and one or more security patches. Thereafter, the method includes sending the generated report to the user, thereby automating cybersecurity detection and resolution in the network.
    Type: Application
    Filed: March 31, 2021
    Publication date: October 13, 2022
    Inventor: Stanley Yuen Li
  • Publication number: 20040175057
    Abstract: An affine transformation analysis system and method is provided for matching two images. The novel systolic array image affine transformation analysis system comprising a linear rf-processing means, an affine parameter incremental updating means, and a least square error fitting means is based on a Lie transformation group model of cortical visual motion and stereo processing. Image data is provided to a plurality of component linear rf-processing means each comprising a Gabor receptive field, a dynamical Gabor receptive field, and six Lie germs. The Gabor coefficients of images and affine Lie derivatives are extracted from responses of linear receptive fields, respectively. The differences and affine Lie-derivatives of these Gabor coefficients obtained from each parallel pipelined linear rf-processing components are then input to a least square error fitting means, a systolic array comprising a QR decomposition means and a backward substitution means.
    Type: Application
    Filed: March 4, 2003
    Publication date: September 9, 2004
    Inventors: Thomas Tsao, Stanley Yuen