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Introduction
Additional affiliations
February 2016 - present
August 2003 - December 2008
Publications
Publications (56)
ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves in the industrial and academic communities for its powerful capabilities, plethora of possible applications, a...
The distinction between normal chest x-ray (CXR) images and abnormal ones containing features of disease (e.g., opacities, consolidation, etc.) is important for accurate medical diagnosis. CXR images contain valuable information concerning the physiological and pathological state of the lungs and airways. In addition, they provide information about...
Background
The electroencephalography (EEG) signal carries important information about the electrical activity of the brain, which may reveal many pathologies. This information is carried in certain waveforms and events, one of which is the K-complex. It is used by neurologists to diagnose neurophysiologic and cognitive disorders as well as sleep s...
The K-complex is one of the most important and noticeable features in the electroencephalography (EEG) signal, therefore its detection is critical for EEG signal analysis. It is used to diagnose neurophysiologic and cognitive disorders as well as sleep studies. Existing detection methods largely depend on tedious, time-consuming, and error-prone ma...
Corn is a mass-produced agricultural product that plays a major role in the food chain 1
and many agricultural products in addition to biofuels. Furthermore, households in poor countries 2
may depend on small-scale corn cultivation for their basic needs. However, corn crops are vulner- 3
able to diseases, which greatly affects farming yields. Moreo...
Protecting agricultural crops is essential for preserving food sources. The health of plants plays a major role in impacting the yield of agricultural output, and their bad health could result in significant economic loss.This is especially important in small-scale and hobby-farming products such as fruits. Grapes are an important and widely cultiv...
Global food production is being strained by extreme weather conditions, fluctuating temperatures, and geopolitics. Tomato is a staple agricultural product with tens of millions of tons produced every year worldwide. Thus, preserving the tomato plant from diseases will go a long way in reducing economical loss and boost output. Technological innovat...
Plant diseases, if misidentified or ignored, can drastically reduce production levels and harvest quality. Technology in the form of artificial intelligence applications has the potential to facilitate and improve the disease identification process, which in turn will empower prompt control. More specifically, the work in this paper addressed the i...
Background
Developmental dysplasia of the hip (DDH) is a relatively common disorder in newborns, with a reported prevalence of 1–5 per 1000 births. It can lead to developmental abnormalities in terms of mechanical difficulties and a displacement of the joint (i.e., subluxation or dysplasia). An early diagnosis in the first few months from birth can...
Skin cancer (melanoma and non-melanoma) is one of the most common cancer types and leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through abnormal growth of skin cells. Early diagnosis drastically increases the chances of recovery. Moreover, it may render surgical, radiographic, or chemical therapies unnecessary or l...
Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle changes, sedentary behaviors, or injuries. Spondylolisthesis and scoliosis are two of the most common ailments with an incidence of 5% and 3% in the United States population, respectively. Both of these abnormalities can affect children at a young age and,...
Purpose
Social networks (SNs) have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda and recruitment of terrorists. It is no secret that the majority of the Islamic State in Iraq and Syria (ISIS) members are Arabic speakers, and even the non-Arabs adopt Arabic n...
Several studies have shown the importance of proper chewing and the effect of chewing speed on the human health in terms of caloric intake and even cognitive functions. This study aims at designing algorithms for determining the chew count from video recordings of subjects consuming food items. A novel algorithm based on image and signal processing...
The Covid-19 global pandemic has wreaked havoc on every aspect of our life. More specifically, health care systems were greatly stretched to their limits and beyond. Advances in artificial intelligence has enabled the implementation of sophisticated applications that can meet clinical accuracy requirements. In this paper, customized and pre-trained...
Computerized disease diagnosis tools based on electroencephalography analysis has come to play an important role in improving the accuracy and speed of the disease investigation rate, speed up the diagnosis process, and drastically eliminate the need for the tedious electroencephalography visual inspection. Seizure is one of the neurological disord...
In this paper, a study is conducted to explore the ability of deep learning in recognizing pulmonary diseases from electronically recorded lung sounds. The selected data-set included a total of 103 patients obtained from locally recorded stethoscope lung sounds acquired at King Abdullah University Hospital, Jordan University of Science and Technolo...
Purpose: Childhood obesity and overweight are on the rise worldwide,
and Jordanian children are no exception to this rule. Childhood Obesity
has major implications on the physical and mental health of individuals, and
it can often develop into adult obesity. Obesity/overweight correlates have not
been researched extensively in the Middle East regio...
The advancement of stethoscope technology has enabled high quality recording of
patient sounds. We used an electronic stethoscope to record lung sounds from healthy
and unhealthy subjects. The dataset includes sounds from seven ailments (i.e.,
asthma, heart failure, pneumonia, bronchitis, pleural effusion, lung fibrosis, and chronic
obstructive pul...
Gauging human emotion can be of great benefit in many applications, such as marketing, gaming, and medicine. In this paper, we build
a machine learning model that estimates the enjoyment and visual interest
level of individuals experiencing museum content. The input to the model is
comprised of 8-channel electroencephalogram signals, which we proce...
This paper investigates the application of different homogeneous ensemble learning methods to perform multi-class classification of respiratory diseases. The case sample involved a
total of 215 subjects and consisted of 308 clinically acquired lung sound recordings and 1176
recordings obtained from the ICBHI Challenge database. These recordings cor...
Degenerative vertebral column diseases are becoming increasingly common and Computer-aided decision-making and diagnosis systems are gaining popularity. In this paper, we propose a machine learning decision-making model based on noninvasive panoramic radiographs to tackle the problem of automated diagnosis of two common vertebral column diseases; D...
Social networks have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda, and recruitment of terrorists. It is no secret that the majority of the Islamic State in Iraq and Syria (ISIS) members are Arabic speakers, and even the non-Arabs adopt Arabic nicknames. How...
Cyberspace is increasingly being dominated by social networks. It is estimated that
the number of users of such networks and media will reach 3.1 billion by 2021. Now
even news outlets are reporting on people tweets, pictures, and online status. Social
networks provide a platform for political, social, business, and leisure activities.
Computer eng...
Artificial Intelligence and Machine Learning have promising applications in several medical fields of diagnosis, imaging, and laboratory testing procedures. However, the use of this technology in veterinary medicine field is lagging behind and there are many areas where it could be employed with potentially successful outcomes and results. In this...
The prevalence of wearable mobile personal health
devices and their everyday use enables great possibilities
in the development of health-related applications and the
research/studying of a plethora of behavioral habits and
healthy/unhealthy lifestyle correlates. Strava is fitness-related
social network, which is mainly concerned with running and
c...
Respiratory rate is a key vital sign that needs daily monitoring for hospital patients in general and those with respiratory conditions in particular. Moreover, it is a predictor of major heart conditions. Yet, studies have shown that it is widely neglected in hospital care due partially to the discomfort caused by the required equipment. In this p...
Gait analysis provides valuable motor deficit quantitative information about Parkinson’s disease patients. Detection of gait abnormalities is key to preserving healthy mobility. The goal of this paper is to propose a novel gait analysis and continuous wavelet transform-based approach to diagnose idiopathic Parkinson’s disease. First, we eliminate t...
Distributed Denial of Service (DDoS) attacks are a dangerous large scale highly coordinated attempts to disable network-based computer systems. The attackers are comprised of a large number of agents working to overwhelm the victim with fake requests. Thus, preventing legitimate users from gaining access to the services provided by the victim. Thes...
Autonomous airborne systems have generated a lot of interest in civilian, as well as, military applications. The application development process for such systems is inherently expensive and is prone to costly errors. The majority of the developed applications involve routing and navigation toward targets coupled with obstacle avoidance. In this pap...
Autonomous airborne systems have generated a lot of interest in civilian, as well as military applications. The application development process for such systems is inherently expensive and is prone to costly errors. The majority of the developed applications involve routing and navigation toward targets coupled with obstacle avoidance. In this pape...
Academic institutions are moving toward automated
management of the educational process. One aspect of this
process is the exam scheduling. The large number of students,
classes, professors, and venues renders the manual process
tedious and useless. In this paper, we describe the efforts of
the Arab East College for High Education in Saudi Arabia i...
The prevalence of social media, in the whole world and the Arab region in particular, has fueled the active engagement and participation of large swaths of the Arabic society in current events. Social media has been used to rally public opinion, increase awareness, spread information/misinformation, and organize large events. Data analysis is neces...
The awareness of behavioural disabilities like autism has increased dramatically in the past few years, revealing staggering numbers of affected individuals, mainly children. The pervasiveness of mobile and gaming technologies presents an excellent opportunity to educate children with behavioural difficulties. In this paper, gaming technology was u...
Speech-based smart systems have come to play an increasingly diverse role in today's pervasive technology. Moreover, it is quite common to experience all kinds of innovations on daily basis, ranging from retina identifiers at banks to electronic fingerprints readers. Such proliferation presents an opportunity and a challenge to integrate speech and...
Autonomous airborne systems have generated a lot of interest in civilian and military applications. The operation of such systems involves routing and navigation toward targets and obstacle avoidance. In this paper, these problems were tackled and solutions were applied to land-based robots as well as a quad-rotor aerial system. The quad-rotor flig...
In any disaster scenario, the first 24 hours are critical for efficient, quick, and life-saving rescue efforts. An integral part of rescue operations
is situation awareness that is powered by real-time data reflecting the emerging and evolving disaster consequences. The proliferation of
mobile smart devices presents an excellent opportunity to prov...
The physiotherapy and rehabilitation process is an expensive and time consuming affair. It also requires the direct supervision of the specialists for effective results. This high cost coupled with high demand prohibits many patients from receiving appropriate care. Moreover, the emotional and mental strain is excessive for patients and is counterp...
PlanetLab, the planetary-scale overlay network, has become the de facto platform for conducting network experiments under real-life realistic conditions, scale, and geographic distribution. Many tools have been developed to manage the PlanetLab resources. However, they do not provide extra experimental capabilities to this network. Currently, Plane...
Malicious JavaScript code has been actively and recently utilized as a vehicle for Web-based security attacks. By exploiting vulnerabilities such as cross-site scripting (XSS), attackers are able to spread worms, conduct Phishing attacks, and do Web page redirection to “typically” porn Web sites. These attacks can be preemptively prevented if the m...
This work presents a new methodology for automated sleep stage identification in neonates based on the time frequency distribution of single electroencephalogram (EEG) recording and artificial neural networks (ANN). Wigner-Ville distribution (WVD), Hilbert-Hough spectrum (HHS) and continuous wavelet transform (CWT) time frequency distributions were...
Text-to-speech tools are gaining an increasing momentum with the pervasiveness of today's computer applications. These tools are typically implemented using diphones and syllables, with a body of knowledge (i.e., corpus) comprised of pre-recorded sounds. Although pre-recording achieves high intelligibility and a more natural experience, it requires...
Internet contains a tremendous amount of valuable web applications that can be used in many systems. To use this kind of applications with other systems, the interaction needs to be in a standard structured format such as XML web service. In this paper, we present a method to convert the current web applications into standard XML web services. The...
The process of automatic sleep stage scoring consists of two major parts: feature extraction and classification. Features are normally extracted from the polysomnographic recordings, mainly electroencephalograph (EEG) signals. The EEG is considered a non-stationary signal which increases the complexity of the detection of different waves in it.
Thi...
Accurate fault detection and location is essential to the efficient and economical operation of ISP networks. In addition, it affects the performance of Internet applications such as VoIP and online gaming. Fault detection algorithms typically depend on spatial correlation to produce a set of fault hypotheses, the size of which increases by the exi...
Network monitoring is essential to the correct and efficient operation of ISP networks and the kind of applications they support, and active measurement is a key design problem in network monitoring. Unfortunately, almost all active probing algorithms ignore the measurement conflict problem: Active measurements conflict with each other – due to the...
Accurate fault detection and localization is essential to the efficient and economical operation of ISP networks. In addition, it affects the performance of Internet applications such as VoIP, and online gaming. Fault detection algorithms typically depend on spatial correlation to produce a set of fault hypotheses, the size of which increases by th...
Overlay networks often employ end-to-end probes to track network performance. These probes are routed through overlay paths, which usually overlap at the overlay level. In addition, two seemingly disjoint overlay paths may share many physical links at the IP level, causing high link stress. Several monitoring algorithms have been proposed to reduce...
The phenomenal growth of the Internet and its entry into many aspects of daily life has led to a great dependency on its services. Multimedia and content distribution applications (e.g., video streaming, online gaming, VoIP) require Quality of Service (QoS) guarantees in terms of bandwidth, delay, loss, and jitter to maintain a certain level of per...
Network monitoring is essential to the correct and efficient operation of overlay networks, and active measurement is a key
design problem in network monitoring. Unfortunately, almost all active probing algorithms ignore the measurement conflict
problem: Active measurements conflict with each other - due to the nature of these measurements, the ass...
In this paper we present a new approach for designing an Optical Character Recognition (OCR) system for Arabic Alphabet. Our approach addresses mere text images; using customized techniques. We have divided the problem at hand into three phases: preprocessing and line extraction, segmentation, and character recognition. Extensive histogram and thre...
AJAX is a ubiquitous technology that empowers Web applications by facilitating communication with the server side of the Web transaction. The drawback of this enabling technology is that malicious exploits can use this AJAX "back door" to communicate on behalf the client/server and steal users' information. In this paper, we present a technique tha...
Questions
Questions (2)
Why does it take so much time to review a paper?
From my humble experience as an editor of a top tier journal, i can tell you its the editor’s lack of effort. in general. People should only volunteer if they have and willing to give enough time to find proper reviewers and review.
Generally speaking, a revision request means that the editor/reviewers see a merit in publishing your article, but some major/minor changes are required. A reject after revision is uncommon but it happens, what were the main reasons from the author’s side as well as the editor/ reviewers side of the story? Hopefully the answers will help others avoid these pitfalls in their responses to the reviewers!