Patents by Inventor Shiva ASHISH THUMPARTHY

Shiva ASHISH THUMPARTHY 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: 11887704
    Abstract: A computer-implemented method provides a requested medical data record to a receiving entity. The method includes receiving a set of medical data records and receiving or initiating a joint data index and, for each medical data record of the set, applying a plurality of hash functions to a patient identifier corresponding to the medical data record to determine a hash vector, the patient identifier corresponding to the medical data record identifying the patient being subject of the medical data record, and updating the joint data index based on the hash vector. Furthermore, it includes providing the joint data index to the receiving entity and receiving a request for a record, corresponding to a request patient identifier and being based on the joint data index, from the receiving entity. The method includes providing the requested medical data record to the receiving entity via a secure communication channel.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: January 30, 2024
    Assignee: SIEMENS HEALTHCARE GMBH
    Inventors: Ricardo Daniel Carneiro Gomes, Shiva Ashish Thumparthy, Ilya Sher, Zeev Glozman, Christoph Pedain
  • Publication number: 20230344813
    Abstract: A method and system for securing asset data in a computing environment includes receiving a request for modifying asset data. Further, the method includes validating the request for modifying the asset data based on pre-stored one or more parameters associated with the one or more assets deployed in the technical installation and the pre-stored one or more parameters associated with the requestor profile using blockchain validation method. The method further includes modifying the pre stored asset data to generate a modified asset data based on the validated request. Furthermore, the method includes generating a digital representation model of the modified asset data using a knowledge graph. Additionally, the method includes outputting the generated digital representation model of the modified asset data on a user interface.
    Type: Application
    Filed: February 22, 2021
    Publication date: October 26, 2023
    Inventors: Shiva Ashish Thumparthy, Thomas Hubauer, Janaki Joshi, Naveen Kumar
  • Patent number: 11750364
    Abstract: Computer-implemented methods and systems (DMS) for facilitating data similarity queries across a network (CN) of data memories (DM1, DM2). The disclosed methods and system are configured for matching data items held in the data memories (DM1, DM2) in a probabilistic manner with cryptographic protection of the data items. The data matching methods and systems (DMS) are robust against inconsistencies within the data to be matched (such as typographical errors, minor mismatches etc), within a certain predetermined similarity threshold (q), usually described as a percentage. The disclosed methods and systems (DMS) allow fast, low latency turnaround by aggregating the data items to be matched into data structures (M1, M2) that facilitate group-wise matching as opposed to pair-wise matching.
    Type: Grant
    Filed: March 17, 2020
    Date of Patent: September 5, 2023
    Assignee: BRAINLAB AG
    Inventor: Shiva Ashish Thumparthy
  • Publication number: 20220094520
    Abstract: Computer-implemented methods and systems (DMS) for facilitating data similarity queries across a network (CN) of data memories (DM1, DM2). The disclosed methods and system are configured for matching data items held in the data memories (DM1, DM2) in a probabilistic manner with cryptographic protection of the data items. The data matching methods and systems (DMS) are robust against inconsistencies within the data to be matched (such as typographical errors, minor mismatches etc), within a certain predetermined similarity threshold (q), usually described as a percentage. The disclosed methods and systems (DMS) allow fast, low latency turnaround by aggregating the data items to be matched into data structures (M1, M2) that facilitate group-wise matching as opposed to pair-wise matching.
    Type: Application
    Filed: March 17, 2020
    Publication date: March 24, 2022
    Inventor: Shiva Ashish THUMPARTHY
  • Publication number: 20210098091
    Abstract: A computer-implemented method provides a requested medical data record to a receiving entity. The method includes receiving a set of medical data records and receiving or initiating a joint data index and, for each medical data record of the set, applying a plurality of hash functions to a patient identifier corresponding to the medical data record to determine a hash vector, the patient identifier corresponding to the medical data record identifying the patient being subject of the medical data record, and updating the joint data index based on the hash vector. Furthermore, it includes providing the joint data index to the receiving entity and receiving a request for a record, corresponding to a request patient identifier and being based on the joint data index, from the receiving entity. The method includes providing the requested medical data record to the receiving entity via a secure communication channel.
    Type: Application
    Filed: September 14, 2020
    Publication date: April 1, 2021
    Applicant: Siemens Healthcare GmbH
    Inventors: Ricardo GOMES, Shiva ASHISH THUMPARTHY, Ilya SHER, Zeev GLOZMAN, Christoph PEDAIN