Essam’s research interests lie in cloud computing, parallel algorithms, decentralized graph data management, elastic OLTP and OLAP systems, mining and processing very large datasets.

Before joining QCRI, Essam 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.

Essam 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.

Essam delivered a complete course in Cloud Computing at KAUST. Additionally, he offered different lectures on advanced data management for KAUST students.

• King Abdullah University of Science and Technology (KAUST), Research Fellow Oct, 2009 – Jun, 2013
• International University in Germany, Research Associate, Jul 2008 -  Oct 2009

• Reviewer of IEEE Transactions on Knowledge and Data Engineering (TKDE), Cloud Computing (TCCSI), and Big Data (TBD)
• PC member of SIGMOD 2016, ICDE 2016, DASFAA15, ICDCS 2015, CCGrid2014, and iiWAS 2014

• PhD, Dublin Institute of Technology (DIT), Ireland, 2008
• MSc, Cairo University,  Egypt, 2003
• BSc, Cairo University,  Egypt, 2000

• Majed Sahli, Essam Mansour, Panos Kalnis: StarDB: A Large-Scale DBMS for Strings. The Proceedings of the VLDB Endowment (PVLDB) 8(12), 2015

• Majed Sahli, Essam Mansour, Tariq Alturkestani, Panos Kalnis: Automatic tuning of bag-of-tasks applications. International Conference on Data Engineering (ICDE), 2015

• Rebecca Taft, Essam Mansour, Marco Serafini, Jennie Duggan, Aaron J. Elmore, Ashraf Aboulnaga, Andrew Pavlo, Michael Stonebraker: E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing. The Proceedings of the VLDB Endowment (PVLDB) 8(3), 2014

• Marco Serafini, Essam Mansour, Ashraf Aboulnaga, Kenneth Salem, Taha Rafiq, Umar Farooq Minhas: Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions. The Proceedings of the VLDB Endowment (PVLDB) 7(12), 2014

• Majed Sahli, Essam Mansour, Panos Kalnis: ACME: A scalable parallel system for extracting frequent patterns from a very long sequence. VLDB Journal 23(6), 2014

• Majed Sahli, Essam Mansour and Panos Kalnis. "Parallel Motif Extraction from Very Long Sequences". In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), San Francisco, California, USA.

• Essam Mansour, Ahmed El-Roby, Aron Ahmadia, Panos Kalnis, Ashraf Aboulnaga. Cloud Repeat Analytics for Very Long Sequences. The Proceedings of the VLDB Endowment (PVLDB), 2013.

• Essam Mansour, Amin Allam, Spiros Skiadopoulos, and Panos Kalnis. ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. In the volume 5 of Proceedings of the VLDB Endowment (PVLDB), 2011.

• Essam Mansour and Hagen Höpfner. An Approach to Detecting Relevant Updates to Cached Data Using XML and Active Databases. In Proceedings of the 12th International Conference on Extending Database Technology (EDBT), 2009.