Patents by Inventor Gaurav Sachdeva

Gaurav Sachdeva 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: 20240152594
    Abstract: An apparatus for activating a physical card in a virtual environment comprises a processor associated with a server. The processor is configured to receive a request to issue a physical card to a first user and to generate a first non-fungible token (NFT) for storage in the physical card, wherein the first NFT is then displayed as a digital card in a virtual environment. The processor is further configured to receive the digital card in an interaction and to generate a second NFT. The processor is further configured to combine the first NFT and the second NFT to generate an activation NFT that allows the physical card to access a profile corresponding to the first user during an interaction. The processor is further configured to transmit the activation NFT and an instruction to the first user device to store the activation NFT in the physical card.
    Type: Application
    Filed: November 7, 2022
    Publication date: May 9, 2024
    Inventors: Amardeep Singh Talwar, Sukanya V, Shailendra Singh, Ashutosh Tripathi, Gaurav Sachdeva, Salma Umme, Sharvani Ganachary, Shyam Prasad Rokula, Bhagat Kumar Allugubelly, Kavitha Hariharan, Charles Joseph Fernandez, Raj Kiran Akkera, Sarabjeet Kaur, Jai Issrani
  • Patent number: 10691421
    Abstract: In some examples, embedded designer implementation may include, upon receiving an indication of actuation of a second designer launch element that is included in a first designer, launching a second designer inline from the first designer. Further, embedded designer implementation may include, upon receiving an indication of actuation of a first designer return element that is included in the second designer, returning to the first designer inline from the second designer. The first designer and the second designer may include a configurable component. Further, embedded designer implementation may include utilizing a common portion of the memory for the configurable component.
    Type: Grant
    Filed: June 13, 2017
    Date of Patent: June 23, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Sankara Narayanan Venkataraman, Gaurav Sachdeva, Rohit Mitra, Raghavendra Malleswara, Sunil Ajjampur Jagadeesh
  • Publication number: 20180357048
    Abstract: In some examples, embedded designer implementation may include, upon receiving an indication of actuation of a second designer launch element that is included in a first designer, launching a second designer inline from the first designer. Further, embedded designer implementation may include, upon receiving an indication of actuation of a first designer return element that is included in the second designer, returning to the first designer inline from the second designer. The first designer and the second designer may include a configurable component. Further, embedded designer implementation may include utilizing a common portion of the memory for the configurable component.
    Type: Application
    Filed: June 13, 2017
    Publication date: December 13, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Sankara Narayanan VENKATARAMAN, Gaurav Sachdeva, Rohit Mitra, Raghavendra Malleswara, Sunil Ajjampur Jagadeesh
  • Patent number: 7424370
    Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.
    Type: Grant
    Filed: February 7, 2005
    Date of Patent: September 9, 2008
    Assignee: Council of Scientific and Industrial Research
    Inventors: Gaurav Sachdeva, Kaushal Kumar, Preti Jain, Samir K. Brahmachari, Srinivasan Ramachandran
  • Publication number: 20050288866
    Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.
    Type: Application
    Filed: February 7, 2005
    Publication date: December 29, 2005
    Applicant: COUNCIL OF SCIENTIFIC AND INDUSTRIAL RESEARCH
    Inventors: Gaurav Sachdeva, Kaushal Kumar, Preti Jain, Samir Brahmachari, Srinivasan Ramachandran