I am proud to contribute to the growing effort of establishing QCRI as a world-class research institute in applied computing by developing theories and systems of high impact for both academia and industry.
Dr. Essam Mansour works as a Scientist at Qatar Computing Research Institute (QCRI). He joined QCRI in June, 2013. Dr. Essam Mansour received his Ph.D. in Computer Science in 2008 from Dublin Institute of Technology (DIT), Ireland. He graduated from Cairo University, Egypt in 2000 with a First Class Honours B.Sc. in Information Systems, and in 2003 with an M.Sc. in Information Systems. He was a Research and Teaching Fellow in International University in Germany Bruchsal from July 2008 to Oct 2009, and in King Abdullah University of Science and Technology (KAUST) from Oct 2009 to Jun 2013.
Dr. Mansour's research interests are in the broad areas of parallel/distributed systems, data management, and machine learning for developing scalable systems for big data. His current research focuses on the following areas:
Before joining QCRI, Dr. Mansour was a research fellow at King Abdullah University of Science and Technology (KAUST) where he led a project for developing a framework for a cloud-based string database system. The project aimed to bridge the gap between Big Data analytics and cloud computing.
Dr. Mansour has developed different parallel string operators, such as maximal pairs and motif extraction. His system utilizes multi-core systems, clusters and supercomputers. Compared to recent methods, his system can expect much faster execution while supporting 2-3 orders of magnitude more data than existing methods. Moreover, his system reports scalability up to 16,384 cores on a supercomputer.
Dr. Mansour delivered a complete course in Cloud Computing at KAUST. Additionally, he offered different lectures on advanced data management for KAUST students.
In the Media
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Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.