Patents by Inventor Nirav Ashwin Kamdar

Nirav Ashwin Kamdar 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: 20220374438
    Abstract: Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.
    Type: Application
    Filed: August 8, 2022
    Publication date: November 24, 2022
    Inventors: Vipindeep Vangala, Ravikiran Arun Aranke, Nirav Ashwin Kamdar, Kurumaddali Venkata Madhu Sravanth
  • Patent number: 11449907
    Abstract: Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.
    Type: Grant
    Filed: July 10, 2020
    Date of Patent: September 20, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Vipindeep Vangala, Ravikiran Arun Aranke, Nirav Ashwin Kamdar, Kurumaddali Venkata Madhu Sravanth
  • Publication number: 20200342368
    Abstract: Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.
    Type: Application
    Filed: July 10, 2020
    Publication date: October 29, 2020
    Inventors: Vipindeep VANGALA, Ravikiran Arun ARANKE, Nirav Ashwin KAMDAR, Kurumaddali Venkata Madhu SRAVANTH
  • Publication number: 20200327148
    Abstract: Systems and methods for enhanced content capture on a computing device are presented. In operation, a user interaction is detected on a computing device with the intent to capture content to a content store associated with the computer user operating the computing device. A content capture service is executed to capture content to the content store, comprising the following: applications executing on the computing device are notified to suspend output to display views corresponding to the applications; content to be captured to the content store is identified and obtained; the applications executing on the computing device are notified to resume output to display views; and automatically storing the obtained content in a content store associated with the computer user.
    Type: Application
    Filed: June 26, 2020
    Publication date: October 15, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Madhur Dixit, Chinmay Vaishampayan, Justin Varacheril George, Nirav Ashwin Kamdar, Deepak Achuthan Menon, Srinivasa V. Thirumalai-Anandanpillai, Ramindar Singh Khatra, Xuedong Huang, Akshad Viswanathan
  • Patent number: 10713601
    Abstract: Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.
    Type: Grant
    Filed: January 25, 2016
    Date of Patent: July 14, 2020
    Inventors: Vipindeep Vangala, Ravikiran Arun Aranke, Nirav Ashwin Kamdar, Kurumaddali Venkata Madhu Sravanth
  • Patent number: 10311384
    Abstract: Methods and systems are provided for automatically generating a dynamic taskline. Initially, sources are accessed to retrieve contextual information associated with a user. From this contextual information, a user task is detected that comprises subtasks. Subtasks are identified, where the subtasks are associated with the user task. The subtasks are ranked based, in part, on the contextual information associated with the user. A taskline is automatically generated based on the ranking of the subtasks. The taskline is dynamically modified based on a particular point in time or updated contextual information associated with the user, to constantly provide the user with relevant and useful information.
    Type: Grant
    Filed: July 29, 2015
    Date of Patent: June 4, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Govind Saoji, Rohit Mani, Nirav Ashwin Kamdar, Justin Varacheril George
  • Patent number: 10038757
    Abstract: Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.
    Type: Grant
    Filed: June 23, 2015
    Date of Patent: July 31, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sasanka Madiraju, Ayman Farouq Mohammad Almadhoun, Nirav Ashwin Kamdar, Talon Edward Ireland, Melissa Nicole Lim, Ravikiran Arun Aranke, Catherine Lynn Maritan, Tudor Buzasu Klein
  • Publication number: 20170031576
    Abstract: Methods and systems are provided for automatically generating a dynamic taskline. Initially, sources are accessed to retrieve contextual information associated with a user. From this contextual information, a user task is detected that comprises subtasks. Subtasks are identified, where the subtasks are associated with the user task. The subtasks are ranked based, in part, on the contextual information associated with the user. A taskline is automatically generated based on the ranking of the subtasks. The taskline is dynamically modified based on a particular point in time or updated contextual information associated with the user, to constantly provide the user with relevant and useful information.
    Type: Application
    Filed: July 29, 2015
    Publication date: February 2, 2017
    Inventors: Govind Saoji, Rohit Mani, Nirav Ashwin Kamdar, Justin Varacheril George
  • Publication number: 20160321573
    Abstract: Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.
    Type: Application
    Filed: January 25, 2016
    Publication date: November 3, 2016
    Inventors: Vipindeep Vangala, Ravikiran Arun Aranke, Nirav Ashwin Kamdar, Kurumaddali Venkata Madhu Sravanth
  • Publication number: 20160321263
    Abstract: Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.
    Type: Application
    Filed: June 23, 2015
    Publication date: November 3, 2016
    Inventors: Sasanka MADIRAJU, AYMAN FAROUQ MOHAMMAD ALMADHOUN, NIRAV ASHWIN KAMDAR, TALON EDWARD IRELAND, MELISSA NICOLE LIM, RAVIKIRAN ARUN ARANKE, CATHERINE LYNN MARITAN, TUDOR BUZASU KLEIN
  • Publication number: 20160085840
    Abstract: Systems and methods for enhanced content capture on a computing device are presented. In operation, a user interaction is detected on a computing device with the intent to capture content to a content store associated with the computer user operating the computing device. A content capture service is executed to capture content to the content store, comprising the following: applications executing on the computing device are notified to suspend output to display views corresponding to the applications; content to be captured to the content store is identified and obtained; the applications executing on the computing device are notified to resume output to display views; and automatically storing the obtained content in a content store associated with the computer user.
    Type: Application
    Filed: September 22, 2014
    Publication date: March 24, 2016
    Applicant: Microsoft Corporation
    Inventors: Madhur Dixit, Chinmay Vaishampayan, Justin Varacheril George, Nirav Ashwin Kamdar, Deepak Achuthan Menon, Srinivasa V. Thirumalai-Anandanpillai, Ramindar Singh Khatra, Xuedong Huang, Akshad Viswanathan