Sherif Sakr

Sherif Sakr, Ph.D., is a Research Scientist in the Managing Complexity Group at National ICT Australia (NICTA), ATP lab, Sydney, Australia. He is also a Conjoint Lecturer in The School of Computer Science and Engineering (CSE) at University of New South Wales (UNSW) and an Adjunct Lecturer with the Department of Computing in the Division of Information and Communication Sciences at Macquarie University . He received his PhD degree in Computer Science from Konstanz University, Germany in 2007. He received his BSc and MSc degree in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. His research interest is data and information management in general, particularly in areas of indexing techniques, query processing and optimization techniques, graph data management, social networks, data management in cloud computing.

Publications

An Overview of Graph Indexing and Querying Techniques
Sherif Sakr, Ghazi Al-Naymat. © 2013. 18 pages.
Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such...
Graph Data Management: Techniques and Applications
Sherif Sakr, Eric Pardede. © 2012. 502 pages.
Graphs are a powerful tool for representing and understanding objects and their relationships in various application domains. The growing popularity of graph databases has...
An Overview of Graph Indexing and Querying Techniques
Sherif Sakr, Ghazi Al-Naymat. © 2012. 18 pages.
Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such...
Relational Techniques for Storing and Querying RDF Data: An Overview
Sherif Sakr, Ghazi Al-Naymat. © 2011. 17 pages.
The Resource Description Framework (RDF) is a flexible model for representing information about resources in the Web. With the increasing amount of RDF data which is becoming...
On Efficient Evaluation of XML Queries
Sherif Sakr. © 2011. 55 pages.
Recently, the use of XML continues to grow in popularity, large repositories of XML documents are going to emerge, and users are likely to pose increasingly more complex queries...
Cardinality-Aware Purely Relational XQuery Processor
Sherif Sakr. © 2009. 50 pages.
Recently, the use of eXtensible Markup Language (XML) continues to grow in popularity, large repositories of XML documents are going to emerge, and users are likely to pose...