It's the age of "big data" and the computer science community are currently having difficulties in managing the data from different perspectives (e.g., volume, volecity etc). One example is the evaluation of Regular Expressions (regex) which can be expensive when dealing with a large amount of data. Then, we can push things to another level by embedding regex to a query language, which is a common practice due to the high expressivity of regex. I'm currently undertaking a PhD study that investigates ways of optmising the performance of regex within the Semantic Web query language (SPARQL).
Msc. Software Engineering (2011, University of Southampton).
Bsc. Computer Science in Education with hons (2008, University of Hail).
3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (profiles2016) - Program Committee
13th Extended Semantic Web Conference (ESWC'16) - subreviewer
14th International Semantic Web Conference (ISWC'15) - subreviewer
Luczak-Roesch, Markus, Tinati, Ramine, Aljaloud, Saud, Hall, Wendy and Shadbolt, Nigel (2016) A universal socio-technical computing machine. At 16th International Conference on Web Engineering (ICWE2016) 16th International Conference on Web Engineering (ICWE2016), Switzerland. 06 - 09 Jun 2016. 4 pp. (In Press)