Patents by Inventor Abdalla Ahmed

Abdalla Ahmed 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: 12121555
    Abstract: A method of inhibiting enzyme activity using an extract of Boscia senegalensis. In an embodiment, the extract is obtained from leaves of Boscia senegalensis. In an embodiment, the enzyme is one or more selected from the group consisting of acetylcholinesterase, butyrylcholinesterase, tyrosinase, ?-amylase, and glucosidase.
    Type: Grant
    Filed: April 23, 2024
    Date of Patent: October 22, 2024
    Assignee: KING FAISAL UNIVERSITY
    Inventors: Abdalla Ahmed Albashir, Khansa Alshambatya, Sakina Yagia, Amel Yousef Ebrahim
  • Patent number: 12092580
    Abstract: A method of measuring a plurality of chemical elements in a baobab fruit pulp can include crushing and homogenizing baobab fruit pulp; sieving the homogenized baobab fruit pulp to obtain baobab fruit fine powder; adding the baobab fruit fine powder to each of prepared plurality of acid mixtures to obtain a plurality of solutions; heating each of the plurality of solutions to digest the baobab fruit fine powder in each of the plurality of solutions; cooling the plurality of solutions; filtering the digested baobab fruit fine powder from each of the plurality of solutions to obtain a plurality of filtered digested baobab fruit fine powders; diluting each of the plurality of filtered digested baobab fruit fine powders with water to obtain a plurality of mixtures; and measuring the plurality of chemical elements in each of the plurality of mixtures using inductively coupled plasma mass spectrometry (ICP-MS).
    Type: Grant
    Filed: January 19, 2024
    Date of Patent: September 17, 2024
    Assignee: KING FAISAL UNIVERSITY
    Inventors: Abuzer Ebead Awad Elkarim Albadri, Abdalla Ahmed Elbashir, Ahmed O. Anlajjar
  • Patent number: 11926606
    Abstract: Methods of isolating tocopherol from Commiphora myrrha using a non-polar solvent are provided.
    Type: Grant
    Filed: August 10, 2023
    Date of Patent: March 12, 2024
    Assignee: KING FAISAL UNIVERSITY
    Inventors: Amel Yousif Ahmed Ibrahim, Abdalla Ahmed Elbashir
  • Patent number: 11748888
    Abstract: There are provided methods and computing devices using semi-supervised learning to perform end-to-end video object segmentation, tracking respective object(s) from a single-frame annotation of a reference frame through a video sequence of frames. A known deep learning model may be used to annotate the reference frame to provide ground truth locations and masks for each respective object. A current frame is processed to determine current frame object locations, defining object scoremaps as a normalized cross-correlation between encoded object features of the current frame and encoded object features of a previous frame. Scoremaps for each of more than one previous frame may be defined. An Intersection over Union (IoU) function, responsive to the scoremaps, ranks candidate object proposals defined from the reference frame annotation to associate the respective objects to respective locations in the current frame. Pixel-wise overlap may be removed using a merge function responsive to the scoremaps.
    Type: Grant
    Filed: November 12, 2020
    Date of Patent: September 5, 2023
    Assignee: L'Oreal
    Inventors: Abdalla Ahmed, Irina Kezele, Parham Aarabi, Brendan Duke
  • Patent number: 11410314
    Abstract: Presented is a convolutional neural network (CNN) model for fingernail tracking, and a method design for nail polish rendering. Using current software and hardware, the CNN model and method to render nail polish runs in real-time on both iOS and web platforms. A use of Loss Mean Pooling (LMP) coupled with a cascaded model architecture simultaneously enables pixel-accurate fingernail predictions at up to 640×480 resolution. The proposed post-processing and rendering method takes advantage of the model's multiple output predictions to render gradients on individual fingernails, and to hide the light-colored distal edge when rendering on top of natural fingernails by stretching the nail mask in the direction of the fingernail tip. Teachings herein may be applied to track objects other than fingernails and to apply appearance effects other than color.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: August 9, 2022
    Assignee: L'Oreal
    Inventors: Brendan Duke, Abdalla Ahmed, Edmund Phung, Irina Kezele, Parham Aarabi
  • Publication number: 20210150728
    Abstract: There are provided methods and computing devices using semi-supervised learning to perform end-to-end video object segmentation, tracking respective object(s) from a single-frame annotation of a reference frame through a video sequence of frames. A known deep learning model may be used to annotate the reference frame to provide ground truth locations and masks for each respective object. A current frame is processed to determine current frame object locations, defining object scoremaps as a normalized cross-correlation between encoded object features of the current frame and encoded object features of a previous frame. Scoremaps for each of more than one previous frame may be defined. An Intersection over Union (IoU) function, responsive to the scoremaps, ranks candidate object proposals defined from the reference frame annotation to associate the respective objects to respective locations in the current frame. Pixel-wise overlap may be removed using a merge function responsive to the scoremaps.
    Type: Application
    Filed: November 12, 2020
    Publication date: May 20, 2021
    Applicant: ModiFace Inc.
    Inventors: Abdalla AHMED, Irina KEZELE, Parham AARABI, Brendan DUKE
  • Publication number: 20200349711
    Abstract: Presented is a convolutional neural network (CNN) model for fingernail tracking, and a method design for nail polish rendering. Using current software and hardware, the CNN model and method to render nail polish runs in real-time on both iOS and web platforms. A use of Loss Mean Pooling (LMP) coupled with a cascaded model architecture simultaneously enables pixel-accurate fingernail predictions at up to 640×480 resolution. The proposed post-processing and rendering method takes advantage of the model's multiple output predictions to render gradients on individual fingernails, and to hide the light-colored distal edge when rendering on top of natural fingernails by stretching the nail mask in the direction of the fingernail tip. Teachings herein may be applied to track objects other than fingernails and to apply appearance effects other than color.
    Type: Application
    Filed: April 29, 2020
    Publication date: November 5, 2020
    Applicant: L'Oreal
    Inventors: Brendan Duke, Abdalla Ahmed, Edmund Phung, Irina Kezele, Parham Aarabi