Dr. Ghazi Al-Naymat Ph.D. Assistant Professor, College of Computer Science and Information Technology, Department of Computer Information Systems [University or college address] Phone: Fax: Email: ghalnaymat AT ud DOT edu DOT sa URL: : www.it.usyd.edu.au/~ghazi Research interests 1. 2. 3. 4. Knowledge Discovery and Data Mining Spatial-Temporal Data Mining Graph Data Management Cloud Computing and Big Data Selected publications The following is a selection from recent publications. More publications here. 1. Ghazi Al-Naymat. Enumeration of Maximal Clique for Mining Spatial Co-location Patterns. Proceedings of the 10th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Fes, Morocco. May 27th-30th, 2013. 2. Sherif Sakr and Ghazi Al-Naymat. An Efficient Feature-Based Processing Technique for Supergraph Queriesm. Proceeding of the 14th International Database Engineering and Application Symposium, Montreal, QC, Canada. IDEAS 2010: 42-51. 3. Ghazi Al-Naymat, Sanjay Chawla, and Javid Taheri. SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. The Australasian Data Mining (AusDM). vol. 101, Melbourne, Australia, ACM Digital Library, Pages (117-127), 2009. 4. Ghazi Al-Naymat. Enumeration of Maximal Clique for Mining Spatial Co-location Patterns. Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Doha, Qatar. Mar 31st-Apr 4th, 2008. Pages (126-133). 5. Ghazi Al-Naymat and Javid Taheri. Effects of Dimensionality Reduction Techniques on Time Series Similarity Measurements. Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Doha, Qatar. Mar 31st-Apr 4th, 2008. Pages (188-196). 6. Ghazi Al-Naymat, Sanjay Chawla and Joachim Gudmundsson. Dimensionality Reduction for Long Duration and Complex SpatioTemporal Queries. The 2007 ACM Symposium on Applied Computing (SAC). Seoul, Korea. March 11-15, 2007. Pages (393-397). 7. Florian Verhein and Ghazi Al-Naymat. Fast Mining of Complex Spatial Colocation Patterns using GLIMIT. The 2007 IEEE International Conference on Data Mining (ICDM). Omaha NE, USA. October 28-31, 2007. Pages (679-684). Courses taught 1. 2. 3. 4. 5. 6. 7. Database Management Systems Data Mining Technical Reports Web-based Systems Project Proposal and Implementation Object Oriented Programming Data Structures and Algorithms Personal website https://sites.google.com/site/alnaymat/