Sinan Sameer Mahmood Al-Dabbagh Currently affiliated with the University of Baghdad, College of Science, Department of Remote Sensing & GIS, working in the Lab of Seismology and Spatial Data Analysis. My research interests include utilizing seismic data for earthquake studies, applying machine learning and AI algorithms to seismology, optimizing computational workflows for multi-event seismic analysis, Parallel Computing, Distributed Systems, Cloud Computing, and Pattern Recognition.
String matching is seen as one of the essential problems in computer science. A variety of computer applications provide the string matching service for their end users. The remarkable boost in the number of data that is created and kept by modern computational devices influences researchers to obtain even more powerful methods for coping with this problem. In this research, the Quick Search string matching algorithm are adopted to be implemented under the multi-core environment using OpenMP directive which can be employed to reduce the overall execution time of the program. English text, Proteins and DNA data types are utilized to examine the effect of parallelization and implementation of Quick Search string matching algorithm on multi-co
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