Majed Sahli obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis from King Abdullah University of Science and Technology (KAUST).
Research Interest
Majed's Research interests included Parallel and distributed computing, large data management, string processing, and graph theory.
Education Profile
- Ph.D. in Computer Science at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. (2010-2015)
- Masters Degree in Computer Science with Distinction from NU, San Diego, CA, USA. (2008-2010)
- Bachelor's Degree in Computer Science with First Honors from KFUPM, Dhahran, KSA. (1997-2002)
Professional Memberships
- Volunteered at San Diego Earth Fair, San Diego, CA, USA. (2010)
- Worked with the Saudi Ministry of Petroleum and Mineral Resources to support the Third OPEC Summit, Riyadh, KSA. (2007)
- Systems Analyst with Saudi Aramco, Dhahran, KSA. (2002-2008)
- Summer internship at Lucent Technologies, Riyadh, KSA. (2001)
Awards and Distinctions
- 2011 ACM SIGMOD Contest Finalist, Athens, Greece.
- 2011 NSF Travel Grant to attend ACM SIGMOD, Athens, Greece.
Selected Publications
Sahli, M., Mansour, E., & Kalnis, P. (2014). ACME: A scalable parallel system for extracting frequent patterns from a very long sequence. The VLDB Journal, 23(6), 871–893. doi:10.1007/s00778-014-0370-1
Handle
Sahli, M., Mansour, E., & Kalnis, P. (2013). Parallel motif extraction from very long sequences. Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management - CIKM ’13. doi:10.1145/2505515.2505575
Handle
Professor,
Computer Science