Patents by Inventor Mohamed Abouzeid

Mohamed Abouzeid 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: 11934487
    Abstract: One example method includes a pipeline for a distributed neural network. The pipeline includes a first phase that identifies intersecting identifiers across datasets of multiple clients in a privacy preserving manner. The second phase includes a distributed neural network that includes a data receiving portion at each of the clients and an orchestrator portion at an orchestrator. The data receiving portions and the orchestrator portions communicate forward and backward passes to perform training without revealing the raw training data.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: March 19, 2024
    Assignee: EMC IP HOLDING COMPANY LLC
    Inventors: Mohamed Abouzeid, Osama Taha Mohamed, AbdulRahman Diaa
  • Publication number: 20220343350
    Abstract: One example method includes identifying emerging hybrid technologies. Datasets are data mined to identify transactions that are related to technology. Associations are generated based on the transactions and the associations are processed to identify emerging hybrid technologies from the transactions.
    Type: Application
    Filed: April 22, 2021
    Publication date: October 27, 2022
    Inventors: Mohamed Abouzeid, Ahmed Osama, Amr Abdel Aziz, Marianne Toma, Stephen J. Todd, Osama Taha Mohamed, Yaseen Moussa, Abdulrahman Diaa
  • Publication number: 20220237484
    Abstract: One example method includes identifying datasets known to contain data relating to different technologies, extracting the data from the data sources, performing preprocessing on the data, clustering the data after the data has been preprocessed, and the clustering comprises generating data clusters, and mapping each of the data clusters to a phase of a Wardley Map. The mapping may be used to make a prediction about which phase a particular technology would fall under in a future time period.
    Type: Application
    Filed: January 28, 2021
    Publication date: July 28, 2022
    Inventors: Mohamed Abouzeid, Amr Abdel Aziz, Abdul Rahman Diaa, Marianne Toma, Mohamed Elsawy, Seif Helal, Stephen J. Todd, Osama Taha Mohamed, Yaseen Moussa
  • Publication number: 20220101054
    Abstract: One example method includes a pipeline for a distributed neural network. The pipeline includes a first phase that identifies intersecting identifiers across datasets of multiple clients in a privacy preserving manner. The second phase includes a distributed neural network that includes a data receiving portion at each of the clients and an orchestrator portion at an orchestrator. The data receiving portions and the orchestrator portions communicate forward and backward passes to perform training without revealing the raw training data.
    Type: Application
    Filed: September 30, 2020
    Publication date: March 31, 2022
    Inventors: Mohamed Abouzeid, Osama Taha Mohamed, AbdulRahman Diaa
  • Publication number: 20090327257
    Abstract: A computer readable storage medium comprises executable instructions to provide a query interface for formulating continuous queries of multi-dimensional data streams. The query interface is populated to generate a plurality of continuous queries. The plurality of continuous queries are executed. The plurality of continuous queries are modified at run-time.
    Type: Application
    Filed: June 27, 2008
    Publication date: December 31, 2009
    Applicant: Business Objects, S.A.
    Inventors: Azza Mohamed Nagib Mohamed Abouzeid, Jacob Slonim, Michael Joseph McAllister