Patents by Inventor Johnny Phan

Johnny Phan 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).

  • PORTABLE NMR INSTRUMENTATION AND METHODS FOR ANALYSIS OF BODY FLUIDS
    Publication number: 20220214292
    Abstract: Methods and instrumentation for determining the water content of a body fluid such as blood plasma by portable nuclear magnetic resonance (NMR) relaxometry are provided.
    Type: Application
    Filed: April 6, 2020
    Publication date: July 7, 2022
    Inventors: Matthew P. AUGUSTINE, John MADSEN, Johnny PHAN, Joseph POURTABIB, Sophia Noelle FRICKE, Shahab CHIZARI, Nam K. TRAN
  • System and method for aggregated machine learning on indicators of compromise on mobile devices
    Patent number: 11297505
    Abstract: A system identifies whether a mobile device is compromised. The system includes mobile devices, a communication network, and a server. Each mobile device includes a processor, a power supply, and a network interface. The processor executes an operating system and applications including a monitor application. The power supply indicates the power consumed by the mobile device during executing the operating system and the applications. The network interface transfers information to and from the mobile device via a communication network. This transferred information includes logs securely collected by the monitor application. The logs can include a log of the system calls, a log of the power consumed, and a log of network activity. The server receives the logs from the mobile devices and generates a correlation among the logs, and the server identifies at least one mobile device that is an outlier in the correlation as a compromised mobile device.
    Type: Grant
    Filed: October 8, 2019
    Date of Patent: April 5, 2022
    Assignee: United States of America as represented by the Secretary of the Navy
    Inventors: John Michael San Miguel, Megan Elane Monteverde Kline, Roger Alexander Hallman, Jose Virgilio Romero-Mariona, Johnny Phan, Christopher Michael Weeden, Scott Michael Slayback
  • System and Method for Aggregated Machine Learning on Indicators of Compromise on Mobile Devices
    Publication number: 20210105613
    Abstract: A system identifies whether a mobile device is compromised. The system includes mobile devices, a communication network, and a server. Each mobile device includes a processor, a power supply, and a network interface. The processor executes an operating system and applications including a monitor application. The power supply indicates the power consumed by the mobile device during executing the operating system and the applications. The network interface transfers information to and from the mobile device via a communication network. This transferred information includes logs securely collected by the monitor application. The logs can include a log of the system calls, a log of the power consumed, and a log of network activity. The server receives the logs from the mobile devices and generates a correlation among the logs, and the server identifies at least one mobile device that is an outlier in the correlation as a compromised mobile device.
    Type: Application
    Filed: October 8, 2019
    Publication date: April 8, 2021
    Inventors: John Michael San Miguel, Megan Elane Monteverde Kline, Roger Alexander Hallman, Jose Virgilio Romero-Mariona, Johnny Phan, Christopher Michael Weeden, Scott Michael Slayback