Mohamed M. Hafez M. AbdElRahman

Mohamed M. Hafez M. AbdElRahman
Teradata · Engineering

About

6
Publications
6,111
Reads
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7
Citations
Citations since 2017
2 Research Items
1 Citation
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
Introduction
Highly motivated and goal-oriented individual with diverse background and experience in databases, machine learning and software development. Well-positioned to understand challenges and determined to use data and analytical skills to assist the company in gaining competitive advantage through business insight, user experiences and storyboarding. Currently working in database query optimization at Teradata.
Additional affiliations
November 2014 - July 2016
Faculty of Computers and Information, CairoUniversity
Position
  • Lecturer
August 2007 - October 2014
Faculty of Computers and Information - Cairo University
Position
  • Research Assistant
Education
August 2016 - December 2019
Rice University
Field of study
  • Computer Science
January 2011 - July 2014
Faculty of Computers and Artficial intelligence - Cairo University
Field of study
  • Information Systems
August 2002 - April 2006
Faculty of Computers and Artficial intelligence - Cairo University
Field of study
  • Information Systems

Publications

Publications (6)
Thesis
Full-text available
Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting from attribute values in the clustered records, an attribute value to form a single record representing the real world object. Many trials were done to s...
Conference Paper
Full-text available
Entropy and information gain have been traditionally used to measure association between inputs and outputs. In this paper, Information gain is used to measure and decide the level of dependency or relevance between attributes. A data fusion technique based on information gain measures in a virtual data integration environment is introduced. After...
Article
Full-text available
Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting or fusing attribute values from the clustered duplicates into a single record representing the real world object. In this paper, a statistical technique fo...
Conference Paper
Full-text available
Injection pressure fall-off (PFO) test analysis has proven to be a reliable vehicle for understanding and evaluating well performance. Recently the methodology has been extended to the understanding of injectors. This paper presents an optimization model for analysis and interpretation of PFO tests for fractured water injectors. An elliptical compo...
Preprint
Full-text available
Some applications require an assurance that certain criteria are violated with only low probability. An alert is generated when the current course of action is likely to violate assurance criteria and the alert results in corrective action. Assurance monitors fuse information from multiple data streams generated by sensors and other sources to esti...
Thesis
Full-text available
Large scale engineering as well as natural systems, such as weather, often have high-dimensional state spaces and exhibit chaotic dynamics. To model the behavior of such systems, sets of coupled Partial Differential Equations (PDEs) are formulated and solved using high-performance computing systems. More recently, significant attention has grown to...

Questions

Questions (4)
Question
I'm working on a project, and we need a satellite image of a city or a district with a resolution of (5,120 X 3,472 pixels). Anyone can hep?
Question
I didn't find any datasets for Natural Language questions and their corresponding SQL statements. So, I was thinking of creating one for myself and other researchers to work on. I do want to know what's the best way to do that, collect them from people and do manual reviews of the matching between NL and SQL, and an automatic review of the SQL statements that they are working?
Question
I need large datasets (>100,000) for some query questions using natural language and their corresponding answers
Question
Instead of doing a simulation, I need a dataset with hundreds or thousands of records distributed over multiple data sources. I need it for data integration purposes where the same entity may have multiple records in different data sources.

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