Patents by Inventor Vinay Gupta

Vinay Gupta 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: 20250173500
    Abstract: Various embodiments of the present disclosure provide contextually aware debiasing techniques for debiasing a document. Some embodiments generate one or more document segments that each comprise a sequence of terms from a syntactic debiased document, identify one or more candidate semantic bias terms from a document segment of the one or more document segments based on a semantic bias corpus in response to the identification of the one or more candidate semantic bias terms, generate, using a classification model, a bias classification for the document segment, and in response to a positive bias classification, provide, using a semantic debiasing model, one or more replacement tokens for the one or more candidate semantic bias terms.
    Type: Application
    Filed: November 29, 2023
    Publication date: May 29, 2025
    Inventors: Siddhant Srivastava, Tanmey Rawal, Ankur Gulati, Vinay Gupta, Vivek Prasann, Ayush Kumar Tiwari
  • Patent number: 12015625
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: January 13, 2023
    Date of Patent: June 18, 2024
    Assignee: Skyhigh Security LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20230379952
    Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.
    Type: Application
    Filed: April 6, 2023
    Publication date: November 23, 2023
    Inventors: Jorjeta JETCHEVA, Ravi PRAKASH, Vinay GUPTA, Sachin KANODIA, Mohan NATARAJAN
  • Publication number: 20230247036
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Application
    Filed: January 13, 2023
    Publication date: August 3, 2023
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Patent number: 11659580
    Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.
    Type: Grant
    Filed: April 6, 2020
    Date of Patent: May 23, 2023
    Assignee: FIRETIDE, INC.
    Inventors: Jorjeta Jetcheva, Ravi Prakash, Vinay Gupta, Sachin Kanodia, Mohan Natarajan
  • Patent number: 11558411
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: January 17, 2023
    Assignee: Skyhigh Security LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20210112086
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Patent number: 10937301
    Abstract: Improvements in a circuit with a glanceable indicator(s) for power checking and short testing in electrical power supplies is disclosed. Providing a reliable, easily understandable indication of electrical integrity will save consumers time and money by allowing them to quickly and accurately determine whether a power supply is causing an issue or lack of function with their powered device. By eliminating (or identifying) the power supply as the cause of the issue, the consumer will be able to troubleshoot quicker and have a better experience with their devices.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: March 2, 2021
    Assignee: OhnKat Inc.
    Inventor: Vinay Gupta
  • Patent number: 10937300
    Abstract: A radio frequency transmission device that triggers electromechanical actions wirelessly using smart device electrical behavior is disclosed. This invention allows for the uninterrupted capture of electrical events while the smart device processes first trigger inside a software loop and can wirelessly create useful actions based on electrical events. It also allows for plug and play functionality of wireless RF repetitive functionality to smart device installations. This is best exemplified by a smart doorbell installation with our RF transmitter attached to a plug-in power supply that allows for continuous functionality and repeated ringing of a chime triggered by an RF signal.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: March 2, 2021
    Assignee: OhnKat Inc.
    Inventor: Vinay Gupta
  • Publication number: 20210058933
    Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.
    Type: Application
    Filed: April 6, 2020
    Publication date: February 25, 2021
    Inventors: Jorjeta JETCHEVA, Ravi PRAKASH, Vinay GUPTA, Sachin KANODIA, Mohan NATARAJAN
  • Patent number: 10911474
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: February 2, 2021
    Assignee: Skyhigh Networks, LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20200135007
    Abstract: A radio frequency transmission device that triggers electromechanical actions wirelessly using smart device electrical behavior is disclosed. This invention allows for the uninterrupted capture of electrical events while the smart device processes first trigger inside a software loop and can wirelessly create useful actions based on electrical events. It also allows for plug and play functionality of wireless RF repetitive functionality to smart device installations. This is best exemplified by a smart doorbell installation with our RF transmitter attached to a plug-in power supply that allows for continuous functionality and repeated ringing of a chime triggered by an RF signal.
    Type: Application
    Filed: October 23, 2019
    Publication date: April 30, 2020
    Applicant: OhnKat Inc.
    Inventor: Vinay Gupta
  • Publication number: 20200134989
    Abstract: Improvements in a circuit with a glanceable indicator(s) for power checking and short testing in electrical power supplies is disclosed. Providing a reliable, easily understandable indication of electrical integrity will save consumers time and money by allowing them to quickly and accurately determine whether a power supply is causing an issue or lack of function with their powered device. By eliminating (or identifying) the power supply as the cause of the issue, the consumer will be able to troubleshoot quicker and have a better experience with their devices.
    Type: Application
    Filed: December 5, 2019
    Publication date: April 30, 2020
    Applicant: OhnKat Inc.
    Inventor: Vinay Gupta
  • Patent number: 10616900
    Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.
    Type: Grant
    Filed: June 8, 2018
    Date of Patent: April 7, 2020
    Assignee: Firetide, Inc.
    Inventors: Jorjeta Jetcheva, Ravi Prakash, Vinay Gupta, Sachin Kanodia, Mohan Natarajan
  • Publication number: 20190373006
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Application
    Filed: May 13, 2019
    Publication date: December 5, 2019
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Patent number: 10291638
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: September 8, 2016
    Date of Patent: May 14, 2019
    Assignee: Skyhigh Networks, LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20190141715
    Abstract: Channel assignment for wireless access networks is directed toward improved overall communication capability of the networks. A network is formed of wireless access points (APs) coupled via wired (and/or wireless) links and enabled to communicate with clients via radio channels of each of the APs. Local information is collected at each of the APs and processed to determine channel assignments according to a Neighbor Impact Metric (NIM) that accounts for one-hop and two-hop neighbors as well as neighbors not part of the network. Optionally, the NIM accounts for traffic load on the APs. The channel assignments are determined either on a centralized resource (such as a server or one of the APs) or via a distributed scheme across the APs. The local information includes how busy a channel is and local operating conditions such as error rate and interference levels.
    Type: Application
    Filed: June 8, 2018
    Publication date: May 9, 2019
    Inventors: Jorjeta JETCHEVA, Ravi PRAKASH, Vinay GUPTA, Sachin KANODIA, Mohan NATARAJAN
  • Patent number: 10115456
    Abstract: The invention deals with multi-states nonvolatile opto-ferroelectric memory element and method of preparing the same thereof. This invention describes multi-states nonvolatile opto-ferroelectric memory element consisting of opto-ferroelectric memory material comprised of Pb1-x(Bi0.5Li0.5)x(Ti1-yZry)O3, wherein x=0.2 to 0.8 and y=0.2 to 0.6, said memory material (PBLZT) photovoltaic ferroelectric material is characterized by a single-phase opto-ferroelectric materials, photovoltaic and multi-states ferroelectric memory material. The invention relates to process of preparing multi-states nonvolatile opto-ferroelectric memory material by solid route, solution-gel process and pulsed laser process. It describes development of multi-states nonvolatile opto-ferroelectric memory material at room temperature. Invention describes a ferroelectric material whose polarization is switched by white light and low power LASER (10-50 mW) with wavelength (405 nm).
    Type: Grant
    Filed: January 13, 2017
    Date of Patent: October 30, 2018
    Assignee: Council of Scientific & Industrial Research
    Inventors: Ashok Kumar, Hitesh Borkar, Vaibhav Rao, Monika Tomar, Vinay Gupta
  • Patent number: 10057340
    Abstract: Various embodiments are described for systems and methods for managing data. The system may include a device group configured for peer-to-peer communications, the device group including a computing device and one or more peer computing devices. The system includes a cross device application programming interface (API) that is implemented as a device group API client executed on the computing device and each of the peer computing devices. Each device group API client includes a permissions module that is configured to determine whether a request satisfies a device-group-specific permission for access to data stored on any device associated with the device group. Upon authorization of the request, a file storage module is configured to retrieve and output the requested file.
    Type: Grant
    Filed: October 6, 2016
    Date of Patent: August 21, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Gur Kimchi, Roger Barga, Vinay Gupta, Zachary Apter, Stelios Paparizos
  • Publication number: 20180189764
    Abstract: A system and method for booking peer-to-peer asset transactions, dynamically assessing risk associated with the transactions, and generating custom insurance policies for the transactions. A risk profile is created for the asset, an owner of the asset, and a potential renter of the asset based on data about the asset, data about the owner, and data about the potential renter, respectively. A risk analysis is performed based the risk profiles of the asset, asset owner, and potential renter, and other information, such as a duration and a location associated with the transaction. This risk analysis is used to provide an insurance premium for the transaction and generate a custom insurance policy when the transaction is booked. Payment may also be taken to complete the transaction.
    Type: Application
    Filed: February 27, 2018
    Publication date: July 5, 2018
    Inventors: Thomas Wright, Vinay Gupta