Saleh Alshomrani

Work place: Department of Information Systems Faculty of Computing and Information Technology, University of Jeddah, Jeddah, Saudi Arabia



Research Interests: Data Mining, Data Structures and Algorithms, Analysis of Algorithms


Dr. Saleh Alshomrani is an Associate Professor of Information Systems Department at University of Jeddah. He is also serving now as the Dean of Faculty of Computing and Information Technology, University of Jeddah. He earned his Bachelor degree in Computer Science (BSc- with Honor) from King Abdulaziz University, Saudi Arabia 1997. He received his Master degree in Computer Science from Ohio University, USA 2001. He Also earned his Ph.D. in Computer Science from Kent State University 2008, Ohio, USA, in the field of Internet and Web-based Distributed Systems and Technologies. His research areas include: Data Mining, Algorithms, Computing Education, E-Learning, and E-Government, and Web Programming and Technologies.

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