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: 12254265
    Abstract: Tabular data is accessed that contains multiple entries of alphanumeric data. Multiple tokens are generated of the multiple entries of alphanumeric data using a tokenization process. The tokenization process maintains jargon-specific features of the alphanumeric data. Multiple embeddings of the multiple entries of alphanumeric data are generated using the tokens. The embeddings capture similarity of the multiple entries considering all of global features, column features, and row features in the tokens of the tabular data. A neural network is used to predict probabilities for pre-defined classes for the tabular data using the generated embeddings.
    Type: Grant
    Filed: September 24, 2021
    Date of Patent: March 18, 2025
    Assignee: International Business Machines Corporation
    Inventors: Bhavna Agrawal, Elham Khabiri, Yingjie Li, Pranav Girish Sankhe
  • Publication number: 20240333739
    Abstract: Detecting and mitigating anomalous system behavior by providing a machine learning model comprising a knowledge graph depicting system entity relationships, and modeling behavioral correlations among system entities according to historical time-series data, receiving real-time time-series data for the system, detecting an anomalous system behavior in a system locale, according to the real-time time-series data, according to the machine learning model and multivariate sensor metrics, diagnosing the anomalous system behavior according to an upstream portion of the knowledge graph and a statistical behavior model for the system locale, and mitigating the anomalous behavior by deriving a recommended action according to the anomalous behavior and generating a work order to implement the recommended action.
    Type: Application
    Filed: March 30, 2023
    Publication date: October 3, 2024
    Inventors: Bhavna Agrawal, Robert Jeffrey Baseman, Jeffrey Owen Kephart, Anuradha Bhamidipaty, Elham Khabiri, Yingjie Li, Srideepika Jayaraman
  • Patent number: 12073152
    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: Grant
    Filed: July 20, 2020
    Date of Patent: August 27, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Elham Khabiri, Anuradha Bhamidipaty, Robert Jeffrey Baseman, Chandrasekhara K. Reddy, Srideepika Jayaraman
  • Publication number: 20240202226
    Abstract: Various systems and methods are presented regarding code-based pattern extraction (Code-PE) and the application of Code-PE to a named entity recognition pipeline. Patterns can be generated from named entities, wherein the entities have an assigned type. Codes are identified within the entities, subsequently vectorized and clustered based upon the presence of the identified codes. Patterns are identified for the respective clusters. The patterns can be applied to an untyped entity, in the event of the pattern matching, the entity can be typed with the type assigned to the pattern. The typed entity can be used to recursively update knowledge regarding typed- and untyped-entities. In the event a pattern incorrectly types an entity, the pattern can be retrained with the updated knowledge.
    Type: Application
    Filed: December 15, 2022
    Publication date: June 20, 2024
    Inventors: Elham Khabiri, Yingjie Li, Bhavna Agrawal, Anuradha Bhamidipaty, Joseph M. Lindquist
  • Patent number: 12008028
    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: Grant
    Filed: October 30, 2018
    Date of Patent: June 11, 2024
    Assignee: International Business Machines Corporation
    Inventors: Elham Khabiri, Pietro Mazzoleni
  • Publication number: 20240047279
    Abstract: Embodiments of the invention are directed to a computer-implemented method. A non-limiting example of the computer-implemented method includes accessing, using a processor system, a process-step sequence that includes a plurality process-steps and a plurality of queue-times. A process-step sequence mining operation is applied to the process-step sequence, wherein the process-step sequence mining operation is operable to make a prediction of an impact of a portion of the process-step sequence on a characteristic of a product generated by the process-step sequence.
    Type: Application
    Filed: August 5, 2022
    Publication date: February 8, 2024
    Inventors: Robert Jeffrey Baseman, Elham Khabiri, Anuradha Bhamidipaty, Yingjie Li, Srideepika Jayaraman, Bhavna Agrawal, Jeffrey Owen Kephart
  • Patent number: 11797887
    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: December 28, 2020
    Date of Patent: October 24, 2023
    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: 11651159
    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: Grant
    Filed: March 1, 2019
    Date of Patent: May 16, 2023
    Assignee: International Business Machines Corporation
    Inventors: Pietro Mazzoleni, Wesley M Gifford, Elham Khabiri
  • Patent number: 11620577
    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: Grant
    Filed: July 1, 2020
    Date of Patent: April 4, 2023
    Assignee: International Business Machines Corporation
    Inventors: Anuradha Bhamidipaty, Bhanukiran Vinzamuri, Elham Khabiri
  • Publication number: 20230097150
    Abstract: Tabular data is accessed that contains multiple entries of alphanumeric data. Multiple tokens are generated of the multiple entries of alphanumeric data using a tokenization process. The tokenization process maintains jargon-specific features of the alphanumeric data. Multiple embeddings of the multiple entries of alphanumeric data are generated using the tokens. The embeddings capture similarity of the multiple entries considering all of global features, column features, and row features in the tokens of the tabular data. A neural network is used to predict probabilities for pre-defined classes for the tabular data using the generated embeddings.
    Type: Application
    Filed: September 24, 2021
    Publication date: March 30, 2023
    Inventors: Bhavna Agrawal, Elham Khabiri, Yingjie Li, Pranav Girish Sankhe
  • Patent number: 11599690
    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: Grant
    Filed: July 20, 2020
    Date of Patent: March 7, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Elham Khabiri, Anuradha Bhamidipaty, Robert Jeffrey Baseman, Chandrasekhara K. Reddy, Srideepika Jayaraman
  • Patent number: 11537847
    Abstract: A method and system are provided to calculate a future behavioral data and identify a relative causal impact of external factors affecting the data. Behavioral data and data for one or more external factors are harvested for a first time period. New behavioral data is harvested for a second time period. New data for the second time period is harvested. Based on a second training algorithm, a forecast time series value of a future behavioral data for a third time period that is after the second time period is calculated. A relative causal impact between each external factor and the predicted time series value of the behavioral data, for the third time period, is identified.
    Type: Grant
    Filed: August 12, 2016
    Date of Patent: December 27, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Flavio D. Calmon, Fenno F. Heath, III, Richard B. Hull, Elham Khabiri, Matthew D. Riemer, Aditya Vempaty
  • Patent number: 11531858
    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: Grant
    Filed: January 2, 2018
    Date of Patent: December 20, 2022
    Assignee: International Business Machines Corporation
    Inventors: Elham Khabiri, Pietro Mazzoleni, Lei Kuang
  • 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