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Ahmed M Nassar, 37Deer Park, TX

Ahmed Nassar Phones & Addresses

Deer Park, TX   

Dallas, TX   

Memphis, TN   

Bossier City, LA   

Red Oak, TX   

Waxahachie, TX   

Princeton, LA   

Mentions for Ahmed M Nassar

Career records & work history

Medicine Doctors

Ahmed M. Nassar

Specialties:
Ophthalmology
Work:
Eye Specialists Of Georgia
777 Cleveland Ave SW STE 616, Atlanta, GA 30315
404-7666268 (phone) 404-7666260 (fax)
Education:
Medical School
Meharry Medical College School of Medicine
Graduated: 2000
Procedures:
Corneal Surgery, Destruction of Lesion of Retina and Choroid, Lens and Cataract Procedures, Ophthalmological Exam
Conditions:
Acute Conjunctivitis, Cataract, Diabetic Retinopathy, Glaucoma, Keratitis, Macular Degeneration, Primary Angle-Closure Glaucoma, Retinal Detachments
Languages:
English, Spanish, Vietnamese
Description:
Dr. Nassar graduated from the Meharry Medical College School of Medicine in 2000. He works in Atlanta, GA and specializes in Ophthalmology.
Ahmed Nassar Photo 1

Ahmed Ramadan Nassar

Specialties:
Surgery

License Records

Ahmed Ramadan Nassar Md

Licenses:
License #: 28361 - Active
Category: Medicine
Issued Date: Jan 27, 2015
Effective Date: Jan 27, 2015
Expiration Date: Oct 1, 2018
Type: Physician

Ahmed Nassar resumes & CV records

Resumes

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Food And Beverage Operations Manager

Work:

Food and Beverage Operations Manager
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Ahmed Nassar

Publications & IP owners

Us Patents

Detecting Clusters And Relationships In Large Data Sets

US Patent:
2018009, Apr 5, 2018
Filed:
Oct 5, 2016
Appl. No.:
15/285659
Inventors:
- Armonk NY, US
Sudhakar Govindasamy - Lewisville TX, US
AHMED M. NASSAR - Katy TX, US
Craig M. Trim - Sylmar CA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
Abstract:
From a directional acyclic graph (DAG) corresponding to a data volume, a matrix of relationships of a first node and a second node is computed. The DAG includes a set of nodes and a set of directional edges, the set of nodes including the first node and the second node. An inverted matrix is computed from the matrix, which retains values in only those column positions where a value in a first row corresponding to the first node is opposite of a value in a second row corresponding to the second node. From the first row, a first cluster of nodes related to the first node is constructed by selecting nodes corresponding to those columns where the first row has a value indicating an affirmative relationship. Information representing the first cluster of nodes a second cluster of nodes are output.

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