Patents by Inventor Sripriya Sundararaman
Sripriya Sundararaman 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).
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Patent number: 11321214Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.Type: GrantFiled: October 12, 2020Date of Patent: May 3, 2022Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
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Patent number: 11310253Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.Type: GrantFiled: April 7, 2020Date of Patent: April 19, 2022Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
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Patent number: 11049189Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: GrantFiled: June 16, 2020Date of Patent: June 29, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Rajiv Shah, Michael S. Jacob, Sripriya Sundararaman, Jeffrey D. Hevrin, Jeffrey G. Kinsey, Phillip Sangpil Moon, EllaKate LeFebre, Sunish Menon, Jeffrey W. Stoiber, James Dykeman, Erin Olander, Lucas Allen
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Patent number: 11017480Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: GrantFiled: June 19, 2020Date of Patent: May 25, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Rajiv Shah, Michael S. Jacob, Sripriya Sundararaman, Jeffrey D. Hevrin, Jeffrey G. Kinsey, Phillip Sangpil Moon, Ellakate LeFebre, Sunish Menon, Jeffrey W. Stoiber, James Dykeman, Erin Olander, Lucas Allen
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Patent number: 10824535Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.Type: GrantFiled: February 4, 2019Date of Patent: November 3, 2020Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
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Patent number: 10824888Abstract: Systems and methods for assessing the movements of a driver while operating the vehicle are provided. According to certain aspects, an electronic device may receive and analyze image data from a 2-D image sensor and a 3-D image sensor, where the image data depicts an individual located within a vehicle. The electronic device may also access a library of baseline movements to which to compare the image data. Based on the comparing, the electronic device may identify and record a set of movements made by the driver.Type: GrantFiled: January 18, 2018Date of Patent: November 3, 2020Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Ben Blaisdell, Yue Liu, Aditya Subramanian, Sripriya Sundararaman, Aaron Scott Chan, Utku Pamuksuz, Kenneth J. Sanchez
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Publication number: 20200320639Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: ApplicationFiled: June 19, 2020Publication date: October 8, 2020Inventors: Rajiv Shah, Michael S. Jacob, Sripriya Sundararaman, Jeffrey D. Hervin, Jeffrey G. Kinsey, Phillip Sangpil Moon, Ellakate LeFebre, Sunish Menon, Jeffrey W. Stoiber, James Dykeman, Erin Olander, Lucas Allen
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Publication number: 20200311825Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: ApplicationFiled: June 16, 2020Publication date: October 1, 2020Inventors: Rajiv Shah, Michael S. Jacob, Sripriya Sundararaman, Jeffrey D. Hevrin, Jeffrey G. Kinsey, Phillip Sangpil Moon, EllaKate LeFebre, Sunish Moon, Jeffrey W. Stoiber, James Dykeman, Erin Olander, Lucas Allen
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Patent number: 10726500Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: GrantFiled: June 26, 2019Date of Patent: July 28, 2020Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Rajiv Shah, Michael S. Jacob, Sripriya Sundararaman, Jeffrey D. Hevrin, Jeffrey G. Kinsey, Phillip Sangpil Moon, Ellakate LeFebre, Sunish Menon, Jeffrey W. Stoiber, James Dykeman, Erin Olander, Lucas Allen
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Patent number: 10726494Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: GrantFiled: January 11, 2017Date of Patent: July 28, 2020Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Rajiv Shah, Michael Shawn Jacob, Sripriya Sundararaman, Jeffrey David Hevrin, Jeffrey Kinsey, Phillip Sangpil Moon, EllaKate LeFebre, Sunish Menon, Jeffrey Wilson Stoiber, James Nolan Dykeman, Erin Ann Olander, Lucas Allen
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Patent number: 10652257Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.Type: GrantFiled: July 7, 2017Date of Patent: May 12, 2020Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
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Patent number: 10387966Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.Type: GrantFiled: January 11, 2017Date of Patent: August 20, 2019Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Rajiv Shah, Michael Shawn Jacob, Sripriya Sundararaman, Jeffrey David Hevrin, Jeffrey Kinsey, Phillip Sangpil Moon, EllaKate LeFebre, Sunish Menon, Jeffrey Wilson Stoiber, James Nolan Dykeman, Erin Ann Olander, Lucas Allen
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Patent number: 10248533Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.Type: GrantFiled: July 7, 2017Date of Patent: April 2, 2019Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen