Patents by Inventor Elham Khabiri

Elham Khabiri 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).

  • Patent number: 11436487
    Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.
    Type: Grant
    Filed: October 2, 2019
    Date of Patent: September 6, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ashish Jagmohan, Elham Khabiri, Richard B. Segal, Roman Vaculin
  • Patent number: 11256883
    Abstract: Systems, methods, and electronic circuits facilitating embedded sensor chips in polymer-based coatings are provided. In one example, a method comprises fabricating an electronic circuit, the electronic circuit comprising one or more semiconductor devices, one or more sensors, and a communication element; encapsulating the electronic circuit within an insulator, resulting in an encapsulated circuit; and dispersing the encapsulated circuit into a lacquer solution comprising a polymer carrier and a solvent.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: February 22, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ali Afzali-Ardakani, Homa Alemzadeh, Maryam Ashoori, Bahman Hekmatshoartabari, Elham Khabiri
  • Publication number: 20220019710
    Abstract: A computing device includes a processor and a storage device. A wafer asset modeling module is stored in the storage device and is executed by the processor to configure the computing device to perform acts identifying and clustering a plurality of assets based on static properties of a wafer asset using a first module of the wafer asset modeling module. The clustered plurality of assets is determined based on dynamic properties of the wafer asset using a second module of the wafer asset modeling module. Event prediction is performed by converting a numeric data of the clustered plurality of assets to a natural language processing (NLP) domain by a third module of the wafer asset modeling module. One or more sequence-to-sequence methods are performed to predict a malfunction of a component of the wafer asset and/or an event based on past patterns. Prediction information is stored in the storage device.
    Type: Application
    Filed: July 20, 2020
    Publication date: January 20, 2022
    Inventors: Elham Khabiri, Anuradha Bhamidipaty, Robert Jeffrey Baseman, Chandrasekhara K. Reddy, Srideepika Jayaraman
  • Publication number: 20220019742
    Abstract: A method is provided for creating a semantic model for submitting search queries thereto. The method includes an act of receiving data from one or more input sources in an entity and relationship capture service of a situational awareness engine. The method further includes an act of extracting entities and relationships between the entities in two or more extraction services, where the two or more extraction services include at least two of a table-to-graph service, an event-to-graph service, a sensor-to-graph service, a text-to-graph service, and an image-to-graph service. The method includes an act of generating a semantic model based on fusion and labeling the extracted data provided by the at least two extraction services, where the semantic model can receive a search query and respond to the search query based on the generated semantic model.
    Type: Application
    Filed: July 20, 2020
    Publication date: January 20, 2022
    Inventors: Anuradha Bhamidipaty, Elham Khabiri, Shuxin Lin, Jeffrey Owen Kephart, Yingjie Li, Bhavna Agrawal
  • Publication number: 20220019708
    Abstract: A computing device includes a processor and a storage device. A vehicle asset modeling module is stored in the storage device and is executed by the processor to configure the computing device to perform acts of identifying and clustering a plurality of assets based on static properties of a vehicle asset using a first module of the vehicle asset modeling module. The clustered plurality of assets is determined based on dynamic properties of the vehicle asset using a second module. Event prediction is performed by converting a numeric data of the clustered plurality of assets to a natural language processing (NLP) domain by a third module. One or more sequence-to-sequence methods are performed to predict a malfunction of a component of the vehicle asset and/or an event based on past patterns. Prediction information is stored in the storage device.
    Type: Application
    Filed: July 20, 2020
    Publication date: January 20, 2022
    Inventors: Elham Khabiri, Anuradha Bhamidipaty, Robert Jeffrey Baseman, Chandrasekhara K. Reddy, Srideepika Jayaraman
  • Publication number: 20220004429
    Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises ingesting tabular data from at least one modality of a plurality of modalities; simultaneously extracting data and generating a prediction model for a task of a computing device from the extracted data from at least two modalities in the plurality of modalities; generating a data signature based on the generated prediction model from the at least two modalities by leveraging the generated prediction model for ingested tabular data and extracted data; comparing the generated data signature to identified data signatures stored in at least one modality in the plurality of modalities; and performing a task based on the generated data signature and a validation of the comparison of identified data signatures.
    Type: Application
    Filed: July 1, 2020
    Publication date: January 6, 2022
    Inventors: Anuradha Bhamidipaty, Bhanukiran Vinzamuri, Elham Khabiri
  • Patent number: 11032606
    Abstract: A video stream control method, system, and a computer program product include analyzing a video stream to identify a section of the video stream where a condition will occur, delivering a notification that the condition will occur in the section of the video stream and modifying the video stream before the section of the video stream is played, and selecting a type of delivery of the section of the video stream based on a set of rules factoring the condition and user data at a time of the notification.
    Type: Grant
    Filed: February 8, 2019
    Date of Patent: June 8, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Maryam Ashoori, Elham Khabiri, Justin David Weisz
  • Publication number: 20210117794
    Abstract: Techniques for mapping policy documents to regulatory documents to check for compliance between the policies and documents are provided. In one example, a computer-implemented method determining, by a system operatively coupled to a processor, an information input, a control framework, and a document from a first group consisting of a regulatory document and a policy document, wherein the information input is a corpora from a second group consisting of a domain corpora and a global corpora. The computer-implemented method can also comprise mapping, by the system, the received regulatory document or the received policy document to the control framework using a supervised machine learning technique.
    Type: Application
    Filed: December 28, 2020
    Publication date: April 22, 2021
    Inventors: Swapna Buccapatnam Tirumala, Ashish Jagmohan, Elham Khabiri, Ta-Hsin Li, Matthew Daniel Riemer, Vadim Sheinin, Aditya Vempaty
  • Patent number: 10922621
    Abstract: Techniques for mapping policy documents to regulatory documents to check for compliance between the policies and documents are provided. In one example, a computer-implemented method determining, by a system operatively coupled to a processor, an information input, a control framework, and a document from a first group consisting of a regulatory document and a policy document, wherein the information input is a corpora from a second group consisting of a domain corpora and a global corpora. The computer-implemented method can also comprise mapping, by the system, the received regulatory document or the received policy document to the control framework using a supervised machine learning technique.
    Type: Grant
    Filed: November 11, 2016
    Date of Patent: February 16, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Swapna Buccapatnam Tirumala, Ashish Jagmohan, Elham Khabiri, Ta-Hsin Li, Matthew Daniel Riemer, Vadim Sheinin, Aditya Vempaty
  • Patent number: 10783334
    Abstract: Systems, methods, and electronic circuits facilitating embedded sensor chips in polymer-based coatings are provided. In one example, a method comprises fabricating an electronic circuit, the electronic circuit comprising one or more semiconductor devices, one or more sensors, and a communication element; encapsulating the electronic circuit within an insulator, resulting in an encapsulated circuit; and dispersing the encapsulated circuit into a lacquer solution comprising a polymer carrier and a solvent.
    Type: Grant
    Filed: December 14, 2017
    Date of Patent: September 22, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ali Afzali-Ardakani, Homa Alemzadeh, Maryam Ashoori, Bahman Hekmatshoartabari, Elham Khabiri
  • Publication number: 20200279171
    Abstract: A method, computer system, and a computer program product for generating a custom corpus is provided. The present invention may include generating a domain graph. The present invention may also include gathering seed data based on the generated domain graph. The present invention may then include identifying domain related data based on the gathered seed data. The present invention may further include querying the domain related data. The present invention may also include creating word embeddings for the domain related data. The present invention may then include evaluating the domain related data.
    Type: Application
    Filed: March 1, 2019
    Publication date: September 3, 2020
    Inventors: Pietro Mazzoleni, Wesley M. Gifford, Elham Khabiri
  • Patent number: 10657189
    Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: May 19, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ashish Jagmohan, Elham Khabiri, Richard B. Segal, Roman Vaculin
  • Patent number: 10642919
    Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: May 5, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ashish Jagmohan, Elham Khabiri, Richard B. Segal, Roman Vaculin
  • Publication number: 20200133970
    Abstract: A method of processing construction documentation includes receiving, as input data into a processor of a computer, a document directed to a specific construction project as input data. The processor extracts location and context information from the document. The location information defines locations relevant to the specific construction project and the context information comprises text extracted from image data of the document.
    Type: Application
    Filed: October 30, 2018
    Publication date: April 30, 2020
    Inventors: Elham KHABIRI, Pietro Mazzoleni
  • Patent number: 10579940
    Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: March 3, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ashish Jagmohan, Elham Khabiri, Richard B. Segal, Roman Vaculin
  • Publication number: 20200034741
    Abstract: Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding.
    Type: Application
    Filed: October 2, 2019
    Publication date: January 30, 2020
    Inventors: Ashish Jagmohan, Elham Khabiri, Richard B. Segal, Roman Vaculin
  • Publication number: 20190286859
    Abstract: Systems, methods, and electronic circuits facilitating embedded sensor chips in polymer-based coatings are provided. In one example, a method comprises fabricating an electronic circuit, the electronic circuit comprising one or more semiconductor devices, one or more sensors, and a communication element; encapsulating the electronic circuit within an insulator, resulting in an encapsulated circuit; and dispersing the encapsulated circuit into a lacquer solution comprising a polymer carrier and a solvent.
    Type: Application
    Filed: May 23, 2019
    Publication date: September 19, 2019
    Inventors: Ali Afzali-Ardakani, Homa Alemzadeh, Maryam Ashoori, Bahman Hekmatshoartabari, Elham Khabiri
  • Patent number: 10387694
    Abstract: Systems, methods, and electronic circuits facilitating embedded sensor chips in polymer-based coatings are provided. In one example, a method comprises fabricating an electronic circuit, the electronic circuit comprising one or more semiconductor devices, one or more sensors, and a communication element; encapsulating the electronic circuit within an insulator, resulting in an encapsulated circuit; and dispersing the encapsulated circuit into a lacquer solution comprising a polymer carrier and a solvent.
    Type: Grant
    Filed: April 13, 2017
    Date of Patent: August 20, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ali Afzali-Ardakani, Homa Alemzadeh, Maryam Ashoori, Bahman Hekmatshoartabari, Elham Khabiri
  • Publication number: 20190205726
    Abstract: A system, method and computer program product, which given in input a question in natural language format, delivers personalized insights related to the answer. Personalized insights are selected among candidate insights mined from the data and ranked based on closeness to (mined) user-preference, relevance to the question, and surprise factor. Two core components include: Question analysis and meaningful insight look up and Multi-dimensional insight ranking. The Question analysis and meaningful insights lookup module performs a semantic analysis of the questions and, uses techniques including “templates” to build new questions which could uncover insights from the data. The Multi-dimensional insight ranking module takes in input a list of insights returned from Question analysis and meaningful insights lookup and rank such insights based on such factors as: relevance to the query, surprise factor, and user preferences.
    Type: Application
    Filed: January 2, 2018
    Publication date: July 4, 2019
    Inventors: Elham Khabiri, Pietro Mazzoleni, Lei Kuang
  • Publication number: 20190174183
    Abstract: A video stream control method, system, and a computer program product include analyzing a video stream to identify a section of the video stream where a condition will occur, delivering a notification that the condition will occur in the section of the video stream and modifying the video stream before the section of the video stream is played, and selecting a type of delivery of the section of the video stream based on a set of rules factoring the condition and user data at a time of the notification.
    Type: Application
    Filed: February 8, 2019
    Publication date: June 6, 2019
    Inventors: Maryam Ashoori, Elham Khabiri, Justin David Weisz