Patents by Inventor Usman BASHIR

Usman BASHIR 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: 12211592
    Abstract: There is provided a method for a machine learning based method of analysing drug-like molecules by representing the molecular quantum states of each drug-like molecule as a quantum graph, and then feeding that quantum graph as an input to a machine learning system.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: January 28, 2025
    Assignee: KUANO LTD.
    Inventors: Hagen Triendl, Matthias Bal, Jarvist Moore Frost, Lawrence Phillips, Agisilaos Chantzis, Graham Simpson, Vic Stojevic, Noor Shaker, Michael Craig, Usman Bashir, Mariana Assmann
  • Publication number: 20240291872
    Abstract: A method of setting up a teleconferencing system using mobile devices is disclosed. Participants with mobile devices in multiple rooms may communicate based on the disclosed teleconferencing application executed on the mobile devices. Each room has one of the mobile devices designated as a leader device for that room. The leader devices may communicate using VoIP over the Internet. Other mobile devices in a room are designated as client devices associated with the leader devices. Participants operating the client devices can talk to other participants in that room and the other rooms through the client device communicating through the leader device of the room. The leader device synchronizes the playing of received audio between all of the client devices in the room. The leader device includes a selection algorithm that selects one of the devices to act as the microphone for audio signals generated in the room.
    Type: Application
    Filed: June 24, 2022
    Publication date: August 29, 2024
    Inventors: Muhammad Shahmeer, Khubaib Ahmad, Muhammad Usman Bashir, Muhammad Abdullah Sajjad
  • Publication number: 20220383992
    Abstract: There is provided a method for a machine learning based method of analysing drug-like molecules by representing the molecular quantum states of each drug-like molecule as a quantum graph, and then feeding that quantum graph as an input to a machine learning system.
    Type: Application
    Filed: July 17, 2019
    Publication date: December 1, 2022
    Inventors: Hagen TRIENDL, Matthias BAL, Jarvist Moore FROST, Lawrence PHILLIPS, Agisilaos CHANTZIS, Graham SIMPSON, Vic STOJEVIC, Noor SHAKER, Michael GRAIG, Usman BASHIR, Mariana MANN