Hend Al-Khalifa

Hend Al-Khalifa
King Saud University | KKUH · Department of Information Technology

PhD

About

229
Publications
74,582
Reads
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3,574
Citations
Citations since 2016
73 Research Items
2793 Citations
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
Introduction
I am an Full professor at Information Technology Department, College of Computer and Information Sciences, King Saud University. I have published more than 160 research papers in various venues. My areas of interest includes: Arabic Natural Language Processing, Artificial Intelligence, Web technologies (Semantic Web), HCI and computer for people with special needs.
Additional affiliations
May 2016 - present
King Saud University
Position
  • Professor (Full)
November 2011 - May 2016
King Saud University
Position
  • Professor (Associate)
Description
  • http://iwan.ksu.edu.sa/
October 2004 - June 2007
University of Southampton
Position
  • PostDoc Position

Publications

Publications (229)
Article
Full-text available
Automatic Arabic handwritten recognition is one of the recently studied problems in the field of Machine Learning. Unlike Latin languages, Arabic is a Semitic language that forms a harder challenge, especially with variability of patterns caused by factors such as writer's age. Most of the studies focused on adults, with only one recent study on ch...
Preprint
Full-text available
Automatic Arabic handwritten recognition is one of the recently studied problems in the field of Machine Learning. Unlike Latin languages, Arabic is a Semitic language that forms a harder challenge, especially with variability of patterns caused by factors such as writer age. Most of the studies focused on adults, with only one recent study on chil...
Article
Technology has become an essential part of our lives, and many of our daily tasks have become entirely dependent on it. For example, routine chores such as shopping for household necessities, booking travel tickets, going to places using all different kinds of transportations etc., are quickly done through mobile phones. And because of how it is ea...
Article
Full-text available
Using physiological data helps to identify the cognitive processing in the human brain. One method of obtaining these behavioral signals is by using eye-tracking technology. Previous cognitive psychology literature shows that readable and difficult-to-read texts are associated with certain eye movement patterns, which has recently encouraged resear...
Article
Many previous eye-tracking studies were conducted to examine how adult readers process different written languages. Relatively, only few eye-tracking studies have been conducted to observe the reading process of Arab children. This study investigated the influence of orthographic regularity on Saudi elementary grades’ English and Arabic words recog...
Article
Full-text available
Fake news detection (FND) involves predicting the likelihood that a particular news article (news report, editorial, expose, etc.) is intentionally deceptive. Arabic FND started to receive more attention in the last decade, and many detection approaches demonstrated some ability to detect fake news on multiple datasets. However, most existing appro...
Article
The term natural language refers to any system of symbolic communication (spoken, signed, or written) that has evolved naturally in humans without intentional human planning and design. This distinguishes natural languages such as Arabic and Japanese from artificially constructed languages such as Esperanto or Python. Natural language processing (N...
Article
Plural of paucity is one type of broken plural used in the classical Arabic. It is used when the number of people or objects ranges from three to 10. Based on our evaluation of four current state-of-the-art Arabic morphological analyzers, there is a lack of identification of broken plural words, specifically the plural of paucity. Therefore, this p...
Article
Full-text available
Automatic synonym extraction plays an important role in many natural language processing systems, such as those involving information retrieval and question answering. Recently, research has focused on extracting semantic relations from word embeddings since they capture relatedness and similarity between words. However, using word embeddings alone...
Article
Topic modeling is an unsupervised machine learning technique for finding abstract topics in a large collection of documents. It helps in organizing, understanding and summarizing large collections of textual information and discovering the latent topics that vary among documents in a given corpus. Latent Dirichlet allocation (LDA) and Non-Negative...
Article
Full-text available
Background The massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content. Most previous literature has cast the hate speech detection problem as a supervised text classification task using classical machine learning methods or,...
Article
Full-text available
With the rise of hate speech phenomena in the Twittersphere, significant research efforts have been undertaken in order to provide automatic solutions for detecting hate speech, varying from simple machine learning models to more complex deep neural network models. Despite this, research works investigating hate speech problem in Arabic are still l...
Preprint
Full-text available
The term natural language refers to any system of symbolic communication (spoken, signed or written) that has evolved naturally in humans without intentional human planning and design. This distinguishes natural languages such as Arabic and Japanese from artificially constructed languages such as Esperanto or Python. Natural language processing (NL...
Article
Full-text available
The Saudi government pays great attention to the usability and accessibility issues of e-government systems. E-government educational systems, such as Noor, Faris, and iEN systems, are some of the most rapidly developing e-government systems. In this study, we used a mixed-methods approach (usability testing and automated tools evaluation) to inves...
Article
Full-text available
Massive heterogeneous big data residing at different sites with various types and formats need to be integrated into a single unified view before starting data mining processes. Furthermore, in most of applications and research, a single big data source is not enough to complete the analysis and achieve goals. Unfortunately, there is no general or...
Chapter
Stroke rehabilitation plays an important role in recovering the lifestyle of stroke survivors. Although existing research proved the effectiveness and engagement of Non-immersive Virtual Reality (VR) based rehabilitation systems, however, limited research is available on the applicability of fully immersive VR-based rehabilitation systems. In this...
Article
Full-text available
Traditional standards employed for pain assessment have many limitations. One such limitation is reliability linked to inter-observer variability. Therefore, there have been many approaches to automate the task of pain recognition. Recently, deep-learning methods have appeared to solve many challenges such as feature selection and cases with a smal...
Preprint
Full-text available
The traditional standards employed for pain assessment have many limitations. One such limitation is reliability because of inter-observer variability. Therefore, there have been many approaches to automate the task of pain recognition. Recently, deep-learning methods have appeared to solve many challenges, such as feature selection and cases with...
Article
Full-text available
The English language has, thus far, received the most attention in research concerning automatic grammar error correction and detection. However, these tasks have been less investigated for other languages. In this paper, we present the first experiments using neural network models for the task of error detection for Modern Standard Arabic (MSA) te...
Preprint
BACKGROUND The massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content. Most previous literature has cast the hate speech detection problem as a supervised text classification task using classical machine learning methods or,...
Article
Full-text available
The United Nations (UN) 2030 agenda involved 17 Sustainable Development Goals (SDGs) to achieve a better and more sustainable world for all. The fourth Sustainable Development Goal called for “ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all”. Despite international efforts to achieve such a go...
Chapter
Query expansion (QE) using pseudo relevance feedback (PRF) is one of the approaches that has been shown to be effective for improving microblog retrieval. In this paper, we investigate the performance of three different embedding-based methods on Arabic microblog retrieval: Embedding-based QE, Embedding-based PRF, and PRF incorporated with embeddin...
Chapter
This paper presents Bukoor, an experimental Arabic children stories search engine built to help children formulate their queries. It utilizes two main query reformulation techniques: query expansion and query suggestions. Both are developed using test collection bi-gram collocation terms and corrections’ query terms generated from Bukoor test colle...
Article
Purpose The purpose of this paper is to provide an overall review of grammar checking and relation extraction (RE) literature, their techniques and the open challenges associated with them; and, finally, suggest future directions. Design/methodology/approach The review on grammar checking and RE was carried out using the following protocol: we pre...
Article
Full-text available
Mobile Social Games (MSGs) are becoming increasingly popular worldwide, and the factors leading to the diffusion and use of such games need to be further investigated. This study proposes an extended model that aims to explore the Use of Mobile Social Games (henceforth, UMSG). The UMSG model was inspired by two of the most recognized theories: the...
Article
Full-text available
In the field of biology, researchers need to compare genes or gene products using semantic similarity measures (SSM). Continuous data growth and diversity in data characteristics comprise what is called big data; current biological SSMs cannot handle big data. Therefore, these measures need the ability to control the size of big data. We used paral...
Chapter
Haptics-based systems have had a significant impact in a variety of fields, such as surgical simulation, rehabilitation, technology designed to help the blind and visually impaired, education and training, entertainment and leisure activities such as video games, art and design, online consumer activity, security, and mobile phones. Despite this, h...
Article
Full-text available
Low back pain (LBP) is one of the most common problems among adults. The usual physiotherapy treatment is to perform physical exercises. However, some LBP patients have false beliefs regarding their pain and they tend to avoid physical movements which might increase their pain and disability. Virtual reality (VR) has proven to be an effective inter...
Article
Full-text available
Wearable technology impacts the daily life of its users. Wearable devices are defined as devices embedded within clothes, watches, or accessories. Wrist-worn devices, as a type of wearable devices, have gained popularity among other wearable devices. They allow quick access to vital information, and they are suitable for many applications. This pap...
Article
Full-text available
The keystroke-level model (KLM) is the simplest model of the goals, operators, methods, and selection rules (GOMS) family. The KLM computes formative quantitative predictions of task execution time. This paper provides a systematic literature review of KLM extensions across various applications and setups. The objective of this review is to address...
Article
Full-text available
Grammar error correction can be considered as a “translation” problem, such that an erroneous sentence is “translated” into a correct version of the sentence in the same language. This can be accomplished by employing techniques like Statistical Machine Translation (SMT) or Neural Machine Translation (NMT). Producing models for SMT or NMT for the g...
Article
Full-text available
A toy is an item mainly intended for children to play with. However, due to its important role in child development, it has evolved to encompass sophisticated educational and learning characteristics. Toy industry has evolved to provide these needs as digital interactive smart toys. Interactive toys combine traditional toys with additional computin...
Preprint
Low Back Pain (LBP) is one of the most common problems among adults. The usual physiotherapy treatment is to perform physical exercises. However, some LBP patients have false beliefs regarding their pain and they tend to avoid physical movements which might increase their pain and disability. Virtual Reality (VR) has shown to be an effective interv...
Conference Paper
The Bachelor's program in Information Technology (B.Sc. IT) at the King Saud University (KSU) conducted a significant upgrade of its curriculum in 2018, aiming to better prepare its graduates for the new trends in the fast-evolving IT industry. The upgraded curriculum includes the introduction of new specialized tracks, namely Data Science, Cyber S...
Chapter
The keystroke-level model (KLM) is a predictive model used to evaluate motor behaviour in skilled error-free user interaction involving conventional techniques, i.e. mouse and keyboard. A blind fingerstroke-level model (blind FLM) was recently introduced as an extension of KLM to assess visually impaired interaction on smartphones. The model compri...
Conference Paper
Low Back Pain (LBP) is one of the most common problems among adults. The usual physiotherapy treatment is to perform physical exercises. However, most of LBP patients do not adhere to their home exercises which might increase their pain and disability. Moreover, some LBP patients have false beliefs regarding their pain and they tend to avoid physic...
Preprint
Full-text available
Sentiment Analysis in Arabic is a challenging task due to the rich morphology of the language. Moreover, the task is further complicated when applied to Twitter data that is known to be highly informal and noisy. In this paper, we develop a hybrid method for sentiment analysis for Arabic tweets for a specific Arabic dialect which is the Saudi Diale...
Article
Nowadays, research in Linked Data has significantly advanced and it now entails enormous area of applications like research publications and data sets. Its flexibility and effectiveness in handling and linking data from numerous sources has made Linked Data more popular. The aim of this article is to systematically present literature review of Link...
Article
Full-text available
Background: Written Medicine Information (WMI) is one of the sources that patients use to obtain information concerning medicine. This paper aims to assess the readability of two types of WMIs in Arabic language based on vocabulary use and sentence structure using a panel of experts and consumers. Methods: This is a descriptive study. Two differ...
Article
Full-text available
Modern Standard Arabic (MSA) is the official language in the Arab world. It is a Semitic language that has rich and complex grammar. Arabic grammar rules are numerous and complicated and might cause confusions to both Arabic natives and learners. This confusion contributes to the proliferation of errors in written Arabic texts. Developing a system...
Article
Full-text available
Arabic Sentiment Analysis is an active research area these days. However, the Arabic language still lacks sufficient language resources to enable the tasks of sentiment analysis. In this paper, we present the details of collecting and constructing a large dataset of Arabic tweets. The techniques used in cleaning and pre-processing the collected dat...
Conference Paper
With the increasing number of predatory publishers that involves charging publication fees to authors without providing proper peer-review or editorial refereeing to qualify papers for publication; The need for a web-based system that involves the participation of authors and researchers in reporting such publishers is becoming a must. In this pape...
Conference Paper
The Keystroke-Level Model (KLM) is a predictive model used to numerically predict how long it takes an expert user to accomplish a task. KLM has been successfully used to model conventional interactions, however, it does not thoroughly render smartphone touch interactions or accessible interfaces (e.g. screen readers). On the other hand, the Finger...
Article
Chemistry laboratories are expensive to setup and operate as well as it entails safety issues. However, as technologies develop and new technologies are being produced every day, an advance solution for physical Chemistry laboratories limitation is the use of virtual laboratories. In this paper, we present the design and implementation of a virtual...
Article
Full-text available
Stroke rehabilitation plays an important role in recovering the lifestyle of stroke survivors. Although existing research proved the effectiveness and engagement of nonimmersive virtual reality- (VR-) based rehabilitation systems, limited research is available on the applicability of fully immersive VR-based rehabilitation systems. In this paper, w...
Article
Full-text available
This paper presents a project that explores the possibility of assessing the readability level of Arabic medicine information leaflets using machine learning techniques. There are a number of popular readability formulas and tools that have been successfully used to assess the readability of health-related information in several languages. However,...
Conference Paper
Usability of government mobile applications is essential for the effective use by end users. However, the lack of mobile application usability checklist tailored to the governmental sector is a problem that needs to be tackled. In this paper we report our experience in drafting a heuristic checklist, based on previous usability metrics, tailored fo...
Conference Paper
Internet of Things (IoT) devices are becoming commercially available, from Amazon Echo to simple Amazon Dash buttons; the realization of such devices which responds to end users' actions are now at the reach of developers' hands due to the existence of cheap electronic kits and plethora of Web APIs. In this work-in-progress paper, we report our exp...
Conference Paper
Open Government Data (OGD) initiatives and more specifically OGD portals have increased rapidly worldwide since the late 2000's, including the Gulf Cooperation Council (GCC) countries. A comprehensive analysis of the capabilities and potential of these initiatives particularly for the GCC members from a technical perspective is currently missing fr...
Conference Paper
This paper describes the design and implementation of a web-based system and web service for decoding and coloring Arabic text. The decoding of Arabic text is done by analyzing and identifying attached affixes (prefixes and suffixes), particle and silent letters of the selected text based on the sentence morphological structure. Our proposed system...
Article
With the significant inclusion of the Internet in nearly all aspects of our daily lives, achieving accessible e-government services that enable citizens to benefit from them and fulfill different users’ requirements, regardless of time and location constraints, has become a global aim. Although the Saudi government has initiated efforts to cope wit...
Article
Full-text available
The number of individuals who suffer from visual impairment is increasing rapidly. The most significant barrier to improving the lives of the blind and visually impaired people is their inability to navigate independently and safely. Indoor navigation systems for blind and visually impaired people aim to guide them in navigating independently in fa...
Conference Paper
This paper presents the design of a smart food labeler mobile application that utilizes Near Field Communication (NFC) technology. The system aims to increase nutrition awareness and encourage food sellers to provide information about their food products in an efficient and interactive way.
Conference Paper
This paper presents the design and implementation of EasyTrans, an accessible translation web application system for Blind Translators (BT). EasyTrans runs entirely on a web server and utilizes many web services, allowing BT users to perform their translation tasks online, thus relieving them from installing any software. EasyTrans has a simple and...
Article
Purpose Millions of visually impaired people (VIP) in the world still face difficulties browsing the Web and accessing information. This paper aims to present a proxy service that takes advantage of the concept of context-aware to help contextualizing web pages for visually impaired users. Design/methodology/approach The VIP-aware proxy combines...
Article
Full-text available
One major challenge regarding the use of today's language labs relates to teachers' and students' awareness and computer skills. Most teachers and students may not have the requisite computer skills and might soon become overwhelmed by the sophisticated functionality of today's digital lab systems. Thus, they should be provided with the appropriate...