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Affiliated Department or Office
B.S Computer Science Alexandria University 1999
M.S. Computer Science Alexandria University 2001
M.S Computer Science Purdue University 2005
Ph.D Computer Science Purdue University 2010

Professor Eltabakh’s research is in the broad area of Database Management Systems and Information Management. In particular, his work is in the areas of query processing and optimization, indexing techniques, scientific data management, and large-scale data analytics. Prof. Eltabakh is currently exploring possible extensions to both database management systems and Hadoop framework to support scientific applications and health-care systems. He is a member of the Database Systems Research Group (DSRG) and a faculty member of the Bioinformatics and Computational Biology (BCB) program. At the undergraduate level, Professor Eltabakh teaches fundamental database courses, algorithms, data structures, and others. He is keen in extending his research and integrating it with the IQP and MQP undergraduate projects. At the graduate level, Professor Eltabakh teaches advanced topics in database systems, distributed databases, and Hadoop infrastructure.

Scholarly Work

Big Data Indexing", Encyclopedia of Big Data Technologies, to appear, 2018
Shared Execution of Recurring Workloads in MapReduce
Decorating the cloud: enabling annotation management in MapReduce
Exploiting Soft and Hard Correlations in Big Data Query Optimization
Proactive Annotation Management in Relational Databases