Mohamed Omar Ahmed

US Patent:

20220201403, Jun 23, 2022

Filed:

Nov 12, 2021

Appl. No.:

17/525155

Inventors:

- Menlo Park CA, US
Antonio John Miller - Woodinville WA, US
Liliana Ruiz Diaz - Redmond WA, US
Andrew John Ouderkirk - Redmond WA, US
Maik Andre Scheller - Redmond WA, US
Robin Sharma - Redmond WA, US
Mohamed Tarek Ahmed El-Haddad - Redmond WA, US
Guohua Wei - Redmond WA, US
Gizem Tabak - Redmond WA, US

International Classification:

H04R 23/00
G01B 9/02
G10L 25/03
G10L 25/84

Abstract:

An audio system including an optical microphone and an audio controller. The optical microphone includes a light source and a detector. In some embodiments, the light source illuminates skin of a user. Alternatively the optical microphone also includes a membrane, and the light source illuminates a portion of the membrane. Sounds from a local area cause vibrations in the skin (or vibrations in the membrane). The detector may be in an interferometric configuration or a non-interferometric configuration with the light source. The audio controller monitors the vibrations of the skin (or membrane) using signal output from the detector, and measures the sounds using the monitored vibrations.

US Patent:

20200334709, Oct 22, 2020

Filed:

Jun 2, 2020

Appl. No.:

16/890451

Inventors:

- Menlo Park CA, US
Ko Ching Chang - Bellevue WA, US
Mohamed Yasser Ahmed Hammad Nour - Sammamish WA, US

International Classification:

G06Q 30/02
G06N 20/00

Abstract:

The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

US Patent:

20190130436, May 2, 2019

Filed:

Oct 30, 2017

Appl. No.:

15/798170

Inventors:

- Menlo Park CA, US
Ko Ching Chang - Bellevue WA, US
Mohamed Yasser Ahmed Hammad Nour - Sammamish WA, US

International Classification:

G06Q 30/02
G06N 99/00

Abstract:

The present disclosure is directed toward systems, methods, and non-transitory computer readable media that dynamically modify content distribution campaigns based on triggering conditions and actions. In particular, systems described herein can provide a user interface for display to a publisher device that includes a plurality of selectable options for setting triggering conditions and/or actions. For example, the disclosed systems can utilize a machine learning model to generate suggested triggering conditions and/or actions for one or more content distribution campaigns of a provider. Moreover, the disclosed systems can generate custom rules based on selected triggering conditions and actions and apply the custom rules during execution of digital content campaigns. For instance, the disclosed systems can monitor performance of content campaigns, detect triggering conditions, and dynamically modify digital content campaigns based on actions corresponding to the triggering conditions.

US Patent:

20180349168, Dec 6, 2018

Filed:

May 29, 2018

Appl. No.:

15/991781

Inventors:

- Bellevue WA, US
Mohamed Ahmed - Redmond WA, US

International Classification:

G06F 9/455
H04L 12/24
G06F 9/50
G06F 11/34
G06N 3/08

Abstract:

The disclosed technology relates to cloud computing and, more specifically, to a cloud computing platform that manages cloud infrastructure to provide autonomous management of containers hosting applications. Based on prediction computations, the disclosed technology can scale up a VM or container, scale down a VM or container, shutdown a VM or container, change the location of a container, open a new container, or close a container.