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Mohamed M Amer811 Cherry Hill Rd, Princeton, NJ 08540

Known as:
Mohamed Amer Moho Amer Mohamed American Mer Ma

Mohamed Amer Phones & Addresses

811 Cherry Hill Rd, Princeton, NJ 08540    609-9245414   

2420 Madison St, Ewing, NJ 08638    609-6710232   

329 Silvia St, Ewing, NJ 08628    609-6710232   

Lawrenceville, NJ   

Cito, PA   

Princeton Junction, NJ   

811 Cherry Hill Rd, Princeton, NJ 08540    609-6710232   

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Career records & work history

License Records

Mohamed H. Amer

Licenses:
License #: 16271 - Expired
Issued Date: Oct 25, 1995
Renew Date: May 31, 1998
Expiration Date: May 31, 1998
Type: Certified Public Accountant

Mohamed A Amer

Licenses:
License #: 26363 - Active
Category: Tow Truck Operator (Private Property)
Expiration Date: Aug 26, 2017

Mohamed Amer resumes & CV records

Resumes

Mohamed Amer Photo 37

Mohamed Amer

Position:
Designer + 3D Visualization Specialist at TPG Architecture, Designer + Visualization Specialist at TPG Architecture
Location:
New York, New York
Industry:
Architecture & Planning
Work:
TPG Architecture - Greater New York City Area since Jan 2013
Designer + 3D Visualization Specialist TPG Architecture - Greater New York City Area since Oct 2010
Designer + Visualization Specialist
Skills:
3D Visualization, Furniture Design, Aircraft Interiors, Construction Drawings, Space-planning, Motion Graphics, Animation, Interior Architecture, Interior Design, Digital Art, Graphic Design, Architectural Lighting, Brand Developement, Client Presentation, AutoCAD Architecture, 3D Studio Max, 3D rendering, Vray, Revit, Adobe Creative Suite, Set Design, Aviation Law, 3D visualization
Mohamed Amer Photo 38

Information Assurance Specialist

Position:
Information Assurance Advisor at United States Department of Defense
Location:
Leesville, Louisiana
Industry:
Defense & Space
Work:
United States Department of Defense - Lafayette, Louisiana Area since Nov 2009
Information Assurance Advisor
Mohamed Amer Photo 39

Mohamed Amer

Location:
United States

Publications & IP owners

Us Patents

Low Precision Neural Networks Using Suband Decomposition

US Patent:
2019025, Aug 22, 2019
Filed:
Feb 24, 2017
Appl. No.:
15/999769
Inventors:
Sek Meng Chai - Princeton NJ, US
David Zhang - Belle Mead NJ, US
Mohamed Amer - Brooklyn NY, US
Timothy J. Sheilds - Houston TX, US
Aswin Nadmuni Raghavan - Princeton NJ, US
International Classification:
G06N 3/04
G06K 9/62
G06K 9/52
Abstract:
Artificial neural network systems involve the receipt by a computing device of input data that defines a pattern to be recognized (such as faces, handwriting, and voices). The computing device may then decompose the input data into a first subband and a second subband, wherein the first and second subbands include different characterizing features of the pattern in the input data. The first and second subbands may then be fed into first and second neural networks being trained to recognize the pattern. Reductions in power expenditure, memory usage, and time taken, for example, allow resource-limited computing devices to perform functions they otherwise could not.

Systems And Methods For Optimizing Operations Of Computing Devices Using Deep Neural Networks

US Patent:
2017036, Dec 21, 2017
Filed:
Jun 16, 2017
Appl. No.:
15/625578
Inventors:
- Menlo Park CA, US
David C. Zhang - Belle Mead NJ, US
Mohamed R. Amer - Brooklyn NY, US
Timothy J. Shields - Houston TX, US
Aswin Nadamuni Raghavan - Princeton NJ, US
Bhaskar Ramamurthy - Menlo Park CA, US
International Classification:
G06N 3/04
G06N 3/08
G06N 3/063
Abstract:
Operations of computing devices are managed using one or more deep neural networks (DNNs), which may receive, as DNN inputs, data from sensors, instructions executed by processors, and/or outputs of other DNNs. One or more DNNs, which may be generative, can be applied to the DNN inputs to generate DNN outputs based on relationships between DNN inputs. The DNNs may include DNN parameters learned using one or more computing workloads. The DNN outputs may be, for example, control signals for managing operations of computing devices, predictions for use in generating control signals, warnings indicating an acceptable state is predicted, and/or inputs to one or more neural networks. The signals enhance performance, efficiency, and/or security of one or more of the computing devices. DNNs can be dynamically trained to personalize operations by updating DNN weights or other parameters.

Isbn (Books And Publications)

Global Dermatology: Diagnosis And Management According To Geography, Climate, And Culture

Author:
Mohamed Amer
ISBN #:
0387941401

Global Dermatology: Diagnosis And Management According To Geography, Climate, And Culture

Author:
Mohamed Amer
ISBN #:
3540941401

Possible Relatives

David A Amer  Fatima Amer  Gregory T Amer  Adel I Amer  Jerry W Amer  Ahmed M Amer  Kim A Amer  Mohamed A Khan  Mohamed Z Sultan  Mohamed Swaray 

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