Patents by Inventor Vinay Sridhara

Vinay Sridhara 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: 20220036750
    Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.
    Type: Application
    Filed: August 3, 2020
    Publication date: February 3, 2022
    Inventors: Rajesh V. Poojary, Raghu Seelamonthula, Vinay Sridhara Murthy, Manuj Sharma
  • Patent number: 11115429
    Abstract: Programmatic mechanisms that enable the automatic assignment of categories to network entities based on observed evidence. Agents gather observation data that identifies observations made by agents about the network and a plurality of nodes of the network. The agents provide the observation data to a classification module, which assigns a device category to the nodes of the network based on the observation data and a probabilistic node model. The probabilistic node model considers several probabilities to ascertain a recommended device category for a particular node, such as probabilities based on a manufacturer of a node, an operating system executing on a node, information about other nodes in the local vicinity of a node, and an administrator web page associated with a node. The classification module may also assign a particular network category to the network based on the observation data and a probabilistic network model.
    Type: Grant
    Filed: March 29, 2017
    Date of Patent: September 7, 2021
    Assignee: Balbix, Inc.
    Inventors: Gaurav Banga, Vansh Makh, Vinay Sridhara, Rajarshi Gupta, Aravind Raghava Iyengar, Sumanth Maram
  • Patent number: 10846705
    Abstract: Systems and methods are disclosed for automating customer service for a monitored device (MD). A method for an Internet of Everything management device to automate customer service for a monitored device comprises collecting sensor data from a plurality of sensors, wherein the plurality of sensors comprises a first sensor that is not included in the MD, determining whether the MD is exhibiting abnormal behavior based on an analysis of the collected sensor data, and transmitting a report to a customer service entity associated with the MD in response to a determination that the MD is exhibiting abnormal behavior.
    Type: Grant
    Filed: February 20, 2015
    Date of Patent: November 24, 2020
    Assignee: QUALCOMM Incorporated
    Inventors: Mastooreh Salajegheh, Vinay Sridhara, Rajarshi Gupta
  • Patent number: 10771199
    Abstract: Methods and apparatus for reverse link acknowledgement in a wireless local area network. A method includes receiving, at a first node, a data communication over a common channel, the data communication being decodable by other nodes. The method also includes determining transmission resources from the data communication, wherein the transmission resources are different for each node, and transmitting a response over the common channel using the determined transmission resources. An apparatus includes a transmitter configured to transmit to a plurality of nodes a data communication over the common channel, and a receiver configured to receive responses from the plurality of nodes, wherein each response was sent using different transmission resources determined from the data communication.
    Type: Grant
    Filed: December 8, 2008
    Date of Patent: September 8, 2020
    Assignee: QUALCOMM Incorporated
    Inventors: Vinay Sridhara, Sanjiv Nanda, Alok Aggarwal, Vincent Knowles Jones, IV, Geert Arnout Awater, Santosh P. Abraham
  • Patent number: 10536867
    Abstract: Systems, methods, and devices of the various aspects enable detecting a malfunction caused by radio frequency (RF) interference. A computing device processor may identify a location of the computing device based on a plurality of real-time data inputs received by the computing device. The processor may characterize an RF environment of the computing device based on the identified location and the plurality of real-time data inputs. The processor may determine at least one RF emissions threshold based on the characterization of the RF environment. The processor may compare the characterization of the RF environment to the at least one RF emissions threshold, and may perform an action in response to determining that the characterization of the RF environment exceeds the at least one RF emissions threshold.
    Type: Grant
    Filed: February 12, 2015
    Date of Patent: January 14, 2020
    Assignee: QUALCOMM Incorporated
    Inventors: Mastooreh Salajegheh, Govindarajan Krishnamurthi, Rajarshi Gupta, Mihai Christodorescu, Vinay Sridhara, Patrick Hughes
  • Patent number: 10480945
    Abstract: A method of disambiguating a location of a mobile station within a structure includes: obtaining, at the mobile station, regional pressure indications and corresponding region indications indicating regions within a structure that are vertically displaced with respect to each other, each of the regional pressure indications indicating atmospheric pressure information associated with the corresponding region; determining mobile station pressure information associated with a present location of the mobile station; comparing the mobile station pressure information with the regional pressure indications; and based on the comparing, determining in which of the regions the mobile station presently resides.
    Type: Grant
    Filed: October 23, 2012
    Date of Patent: November 19, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Saumitra Mohan Das, Vinay Sridhara, Rajarshi Gupta
  • Patent number: 10452840
    Abstract: Methods, systems and devices compute and use the execution session contexts of software applications to perform behavioral monitoring and analysis operations. A mobile device may be configured to monitor user activity and system activity of a software application, generate a shadow feature value that identifies actual execution session context of the software application during that activity, generate a behavior vector that incorporates context into the values describing behaviors, and determine whether the activity is malicious or benign based, at least in part, on the generated behavior vector. The mobile device processor may also be configured to intelligently determine whether the execution session context of a software application is relevant to determining whether any of the monitored mobile device behaviors are malicious or suspicious, and monitor only the execution session contexts of the software applications for which such determinations are relevant.
    Type: Grant
    Filed: July 14, 2016
    Date of Patent: October 22, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Yin Chen, Dong Li, Vinay Sridhara
  • Patent number: 10320829
    Abstract: Approaches for analyzing risk of security breaches to a network. Agents gather, from multiple sources across the network, analysis data that identifies one or more habitable nodes and one or more opaque nodes. Habitable nodes each possess a computing environment conducive to installation of at least one of agent, while opaque nodes do not. An enterprise risk model is generated for the network using the analysis data. The enterprise risk model models a risk of security breaches to assets of the network from both authorized and unauthorized users of the network based on attributes of the habitable nodes and the opaque nodes of the network. The enterprise risk model may model both the present and the future risk to the enterprise, enabling, resources, such as time and money, to be best allocated in a scientific and methodical manner to improve the risk profile of the enterprise network.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: June 11, 2019
    Assignee: Balbix, Inc.
    Inventors: Gaurav Banga, Rajarshi Gupta, Vinay Sridhara, Vineet Kumar
  • Patent number: 10313384
    Abstract: Approaches for enforcing security constraints against a network without impacting business workflows. A network is programmatically divided into a set of restrictive subnetworks without human intervention. One or more agents, executing on a plurality of nodes of the network, enforce security constraints by requiring a process, which requests access to an asset stored on a node of the network, to possess a security credential associated with a particular restrictive subnetwork to which the node belongs for access to the asset to be granted. The set of restrictive subnetworks may be determined based upon an enterprise risk model that models both the present and the future risk to the enterprise.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: June 4, 2019
    Assignee: Balbix, Inc.
    Inventors: Gaurav Banga, Rajarshi Gupta, Vinay Sridhara, Vineet Kumar
  • Patent number: 10250631
    Abstract: Approaches for modeling a risk of security breaches to a network. Agents gather, from multiple sources across the network, analysis data that identifies observed characteristics of habitable nodes and opaque nodes. Using the analysis data a multi-layer risk model for the network is generated that comprises a first layer that models an inherent risk of security breaches to assets of the network based on the observed characteristics. The model also comprises a second layer that models a present state of the inherent risk to the assets caused by global and temporal events. The model also comprises a third layer that models a change to the risk of security breaches in response to potential mitigative actions. The model may be used to understand how risk of a security breach is distributed and interdependent upon the nodes of the network so as to allow the most valuable preventive measures to be taken.
    Type: Grant
    Filed: December 19, 2016
    Date of Patent: April 2, 2019
    Assignee: Balbix, Inc.
    Inventors: Vinay Sridhara, Vansh Pal Singh Makh, Gaurav Banga, Rajarshi Gupta
  • Patent number: 10176428
    Abstract: The various aspects configure a mobile computing device to efficiently identify, classify, model, prevent, and/or correct the conditions and/or behaviors occurring on the mobile computing device that are related to one or more peripheral devices connected to the mobile computing device and that often degrade the performance and/or power utilization levels of the mobile computing device over time. In the various aspects, the mobile computing device may obtain a classifier model that includes, tests, and/or evaluates various conditions, features, behaviors and corrective actions on the mobile computing device that are related to one or more peripheral devices connected to the mobile computing device. The mobile computing device may utilize the classifier model to quickly identify and correct undesirable behaviors occurring on the mobile computing device that are related to the one or more connected peripheral devices.
    Type: Grant
    Filed: March 13, 2014
    Date of Patent: January 8, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Vinay Sridhara, Rajarshi Gupta
  • Patent number: 10104107
    Abstract: Various embodiments include methods of evaluating device behaviors in a computing device and enabling white listing of particular behaviors. Various embodiments may include monitoring activities of a software application operating on the computing device, and generating a behavior vector information structure that characterizes a first monitored activity of the software application. The behavior vector information structure may be applied to a machine learning classifier model to generate analysis results. The analysis results may be used to classify the first monitored activity of the software application as one of benign, suspicious, and non-benign. A prompt may be displayed to the user that requests that the user select whether to whitelist the software application in response to classifying the first monitored activity of the software application as suspicious or non-benign. The first monitored activity may be added to a whitelist of device behaviors in response to receiving a user input.
    Type: Grant
    Filed: September 10, 2015
    Date of Patent: October 16, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Vinay Sridhara, Yin Chen, Rajarshi Gupta
  • Patent number: 10089459
    Abstract: The various aspects provide a method for recognizing and preventing malicious behavior on a mobile computing device before it occurs by monitoring and modifying instructions pending in the mobile computing device's hardware pipeline (i.e., queued instructions). In the various aspects, a mobile computing device may preemptively determine whether executing a set of queued instructions will result in a malicious configuration given the mobile computing device's current configuration. When the mobile computing device determines that executing the queued instructions will result in a malicious configuration, the mobile computing device may stop execution of the queued instructions or take other actions to preempt the malicious behavior before the queued instructions are executed.
    Type: Grant
    Filed: November 11, 2015
    Date of Patent: October 2, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Vinay Sridhara, Satyajit Prabhakar Patne, Rajarshi Gupta
  • Patent number: 10089582
    Abstract: Methods and systems for classifying mobile device behavior include generating a full classifier model that includes a finite state machine suitable for conversion into boosted decision stumps and/or which describes all or many of the features relevant to determining whether a mobile device behavior is benign or contributing to the mobile device's degradation over time. A mobile device may receive the full classifier model along with sigmoid parameters and use the model to generate a full set of boosted decision stumps from which a more focused or lean classifier model is generated by culling the full set to a subset suitable for efficiently determining whether mobile device behavior are benign. Results of applying the focused or lean classifier model may be normalized using a sigmoid function, with the resulting normalized result used to determine whether the behavior is benign or non-benign.
    Type: Grant
    Filed: August 14, 2015
    Date of Patent: October 2, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Kassem Fawaz, Vinay Sridhara, Rajarshi Gupta, Yin Chen
  • Patent number: 10063585
    Abstract: Methods, and devices implementing the methods, use device-specific classifiers in a privacy-preserving behavioral monitoring and analysis system for crowd-sourcing of device behaviors. Diverse devices having varying degrees of “smart” capabilities may monitor operational behaviors. Gathered operational behavior information may be transmitted to a nearby device having greater processing capabilities than a respective collecting device, or may be transmitted directly to an “always on” device. The behavior information may be used to generate behavior vectors, which may be analyzed for anomalies. Vectors containing anomaly flags may be anonymized to remove any user-identifying information and subsequently transmitted to a remote recipient such as a service provider or device manufacture.
    Type: Grant
    Filed: March 18, 2015
    Date of Patent: August 28, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Mastooreh Salajegheh, Mona Mahmoudi, Vinay Sridhara, Mihai Christodorescu, Gheorghe Calin Cascaval
  • Patent number: 10049327
    Abstract: Methods, devices, systems, and non-transitory process-readable storage media for a computing device to use machine learning to dynamically configure an application and/or complex algorithms associated with the application. An aspect method performed by a processor of the computing device may include operations for performing an application that calls a library function associated with a complex algorithm, obtaining signals indicating user responses to performance of the application, determining whether a user tolerates the performance of the application based on the obtained signals indicating the user responses, adjusting a configuration of the application to improve a subsequent performance of the application in response to determining the user does not tolerate the performance of the application, and storing data indicating the user responses to the performance of the application and other external variables for use in subsequent evaluations of user inputs.
    Type: Grant
    Filed: April 7, 2015
    Date of Patent: August 14, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Faraz Mohammad Mirzaei, Vinay Sridhara, Nayeem Islam
  • Patent number: 10021123
    Abstract: Systems, methods, and devices of the various aspects enable identification of anomalous application behavior. A computing device processor may detect network communication activity of an application on the computing device. The processor may identify one or more device states of the computing device, and one or more categories of the application. The processor may determine whether the application is behaving anomalously based on a correlation of the detected network communication activity of the application, the identified one or more device states of the computing device, and the identified one or more categories of the application.
    Type: Grant
    Filed: June 29, 2015
    Date of Patent: July 10, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Saumitra Mohan Das, Mona Mahmoudi, Vinay Sridhara, Rajarshi Gupta, Yin Chen
  • Patent number: 10013857
    Abstract: Methods, apparatuses, systems, and computer-readable media for using haptic technologies to provide enhanced media experiences are presented. According to one or more aspects of the disclosure, a computing device, such as a smart phone, tablet computer, or portable media player, may establish a connection with a local content receiver. Subsequently, the computing device may receive, from the local content receiver, a sensation data signal that specifies one or more haptic effects to be provided at a particular time relative to playback of a media content item received by the local content receiver. Thereafter, the computing device may provide the one or more haptic effects.
    Type: Grant
    Filed: August 24, 2012
    Date of Patent: July 3, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Vinay Sridhara, Saumitra Mohan Das, Leonid Sheynblat
  • Patent number: 10015728
    Abstract: Various methods, apparatuses and/or articles of manufacture are provided which may be implemented for use by a mobile device to alter a scan operation. Various methods, apparatuses and/or articles of manufacture are provided which may be implemented for use by one or more electronic devices to determine one or more scan factors for use by a mobile device in altering a scan operation.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: July 3, 2018
    Assignee: Qualcomm Incorporated
    Inventors: Sai Pradeep Venkatraman, Saumitra Mohan Das, Weihua Gao, Vinay Sridhara
  • Patent number: 9979606
    Abstract: The disclosure generally relates to behavioral analysis to automate monitoring Internet of Things (IoT) device health in a direct and/or indirect manner. In particular, normal behavior associated with an IoT device in a local IoT network may be modeled such that behaviors observed at the IoT device may be compared to the modeled normal behavior to determine whether the behaviors observed at the IoT device are normal or anomalous. Accordingly, in a distributed IoT environment, more powerful “analyzer” devices can collect behaviors locally observed at other (e.g., simpler) “observer” devices and conduct behavioral analysis across the distributed IoT environment to detect anomalies potentially indicating malicious attacks, malfunctions, or other issues that require customer service and/or further attention.
    Type: Grant
    Filed: March 4, 2015
    Date of Patent: May 22, 2018
    Assignee: QUALCOMM Incorporated
    Inventors: Rajarshi Gupta, Mastooreh Salajegheh, Mihai Christodorescu, Vinay Sridhara, Govindarajan Krishnamurthi