Najwa K. Bakhsh

Work place: Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia



Research Interests: Computer systems and computational processes, Parallel Computing, Data Mining, World Wide Web, Data Structures and Algorithms


Najwa K. Bakhsh was born in Jeddah, Kingdom of Saudi Arabia (KSA). She is currently a computer science postgraduate student at King Abdulaziz University, Jeddah, KSA. She obtained her bachelor’s degree in computer science from King Abdulaziz University, Jeddah, KSA, in 2003. She is currently working as a programmer at King Abdulaziz University. Her research interests include Web mining, Web accessibility, cloud technology and parallel algorithm.

Author Articles
IReadWeb: Towards Best Performance of WebAnyWhere

By Najwa K. Bakhsh Saleh Alshomrani Imtiaz Hussain Khan

DOI:, Pub. Date: 8 Jul. 2017

This article describes IReadWeb system, which is based on existing WebAnyWhere technology. The existing WebAnyWhere system uses depth-first search (DFS) to traverse the Document Object Model (DOM) during the Web surfing task. DFS uses an exhaustive search and crawls through an entire page until it identifies the target node thereby greatly increasing the response time to users. We developed a user-experienced based algorithm, which, unlike DFS, exploits pre-fetched information stored in a local cache to speed up the browsing task. The performance of IReadWeb is thoroughly evaluated and compared against WebAnyWhere by using a sizeable sample of blind native Arabic speakers. The experimental results show that IReadWeb outperformed WebAnyWhere in attaining fast response speed.

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A Comparative Study of Arabic Text-to-Speech Synthesis Systems

By Najwa K. Bakhsh Saleh Alshomrani Imtiaz Khan

DOI:, Pub. Date: 8 Aug. 2014

Text-to-speech synthesis is the process of converting written text to speech. The lack of research on the growth of and the need for the Arabic language is notable. Therefore, this paper reports an empirical study that systematically compares two screen readers, namely, NonVisual Desktop Access (NVDA) and IBSAR. We measured the quality of these two systems in terms of standard pronunciation and intelligibility tests with visually impaired or blind people. The results revealed that NVDA outperformed IBSAR on the pronunciation tests. However, both systems gave competitive performance on the intelligibility tests.

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Other Articles