Adel Said Elmaghraby

Adel Said Elmaghraby
University of Louisville | UL · JB Speed School of Engineering

Ph.D.

About

373
Publications
61,750
Reads
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3,573
Citations
Additional affiliations
March 2019 - April 2020
University of Louisville
Position
  • Managing Director
Description
  • Director of Industrial Research and Innovation for JB Speed School of Engineering and Winnia Professor of Computer Science and Engineering.
September 1982 - April 2020
University of Louisville
Position
  • Chair
September 1977 - August 1982
University of Wisconsin–Madison
Position
  • Graduate Assistant
Education
September 1978 - August 1982
September 1977 - August 1978
September 1968 - May 1973
Alexandria University
Field of study
  • EE- Computer Science and Automatic Control Systems

Publications

Publications (373)
Article
This study evaluates the performance of computer-aided detection (CAD) scheme for architectural distortion (AD) signs in screening mammograms The scheme targets the morphological effects of breast parenchyma due to cancer infiltration. The underlying hypothesis is that cancer growth evolves in concentric layers around a focal region. Overall, the C...
Article
Full-text available
A computer-aided diagnosis (CAD) system requires automated stages of tumor detection, segmentation, and classification that are integrated sequentially into one framework to assist the radiologists with a final diagnosis decision. In this paper, we introduce the final step of breast mass classification and diagnosis using a stacked ensemble of resi...
Article
Full-text available
One of the prime aims of smart cities has been to optimally manage the available resources and systems that are used in the city. With an increase in urban population that is set to grow even faster in the future, smart city development has been the main goal for governments worldwide. In this regard, while the useage of Artificial Intelligence (AI...
Conference Paper
Username, password, and biometrics are three-factor authentication for cybersecurity enhancement. Adding keystroke and mouse biometrics to authentication will definitely improves the cybersecurity. Keystroke dynamics refers to the process of measuring and assessing human’s typing rhythm on digital devices. Keystroke timing information such as digra...
Article
Analysis of publicly available human and drug trafficking crime data faces the challenge of finding a comprehensive dataset that includes a sufficiently large number of crime incidents. Our proposed methodology attempts to address this challenge by using entity resolution techniques to merge multiple state-wide crime datasets and a county-wide inci...
Article
Full-text available
Background and Objective Computer-aided-detection (CAD) systems have been developed to assist radiologists on finding suspicious lesions in mammogram. Deep Learning technology have recently succeeded to increase the chance of recognizing abnormality at an early stage in order to avoid unnecessary biopsies and decrease the mortality rate. In this st...
Article
A primary focus of the healthcare industry is to improve patient experience and quality of service. Practitioners and health workers are generating large volumes of text that are captured in Electronic Medical Records, professional reports, and publications. Additionally, patients post millions of comments on social media related to healthcare, on...
Article
Full-text available
Activity and Fall detection have been a topic of keen interest in the field of ambient assisted living system research. Such systems make use of different sensing mechanisms to monitor human motion and aim to ascertain the activity being performed for health monitoring and other purposes. Towards this end, in addition to activity recognition, fall...
Preprint
BACKGROUND Living kidney donation (LKD) currently constitutes approximately a quarter of all kidney transplant donors. There exist barriers that preclude prospective donors from donating such as medical ineligibility and cost associated with donation. A better understanding of the perceptions as well as barriers to living donation can facilitate th...
Article
The expansion of pervasive and ubiquitous computing, especially with the advancement of the Internet of Things and the Smart City concept, extend the novel means of criminality and its investigation. We argue that current forms of investigation and discovery are not sufficient to limit injuries onto persons and communities. Nonetheless, cybersecuri...
Chapter
Smart Technologies, the Internet of Things and Artificial Intelligence offer tremendous opportunities through the powerful analytics against a vast distribution of sensors. They provide for the unprecedented collection of data for new, powerful analytics creating new knowledge, from government processes to industrial systems. Yet these all have ele...
Article
Full-text available
Breast cancer analysis implies that radiologists inspect mammograms to detect suspicious breast lesions and identify mass tumors. Artificial intelligence techniques offer automatic systems for breast mass segmentation to assist radiologists in their diagnosis. With the rapid development of deep learning and its application to medical imaging challe...
Article
Full-text available
Human activity recognition has been a key study topic in the development of cyber physical systems and assisted living applications. In particular, inertial sensor based systems have become increasingly popular because they do not restrict users' movement and are also relatively simple to implement compared to other approaches. In this paper, we pr...
Chapter
Emotional impairment is one of the common symptoms of many mental diseases. Being able to learn the emotional reactions from subjects using nonintrusive human-computer interactions (HCI) would provide a novel and efficient approach to assist existing intervention and therapy. Psychologists conducted research using virtual reality (VR) as a tool for...
Article
Full-text available
With recent breakthroughs in artificial intelligence, the use of deep learning models achieved remarkable advances in computer vision, ecommerce, cybersecurity, and healthcare. Particularly, numerous applications provided efficient solutions to assist radiologists for medical imaging analysis. For instance, automatic lesion detection and classifica...
Article
Full-text available
The reduced costs of embedded systems and sensor technology coupled with the increased speed in communication enables businesses and consumers to deploy a large number of sensing devices. This conjunction of technologies has come to be known as the Internet of Things (IoT). Data collected from IoT devices are continuously increasing, and many appro...
Article
Full-text available
Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention. This enables the capacity of having smart (or smarter) cities around the world. By hosting different technologies and allowing interactions between them, the internet of things has spearheaded the development of sma...
Article
Full-text available
This study presents a non-invasive, automated, clinical diagnostic system for early diagnosis of lung cancer that integrates imaging data from a single computed tomography scan and breath bio-markers obtained from a single exhaled breath to quickly and accurately classify lung nodules. CT imaging and breath volatile organic compounds data were coll...
Article
Full-text available
The advancements in neural networks and the on-demand need for accurate and near real-time Speech Emotion Recognition (SER) in human–computer interactions make it mandatory to compare available methods and databases in SER to achieve feasible solutions and a firmer understanding of this open-ended problem. The current study reviews deep learning ap...
Article
Full-text available
Quantum Machine Learning (QML) techniques have been recently attracting massive interest. However reported applications usually employ synthetic or well-known datasets. One of these techniques based on using a hybrid approach combining quantum and classic devices is the Variational Quantum Classifier (VQC), which development seems promising. Albeit...
Article
As colon cancer is among the top causes of death, there is a growing interest in developing improved techniques for the early detection of colon polyps. Given the close relation between colon polyps and colon cancer, their detection helps avoid cancer cases. The increment in the availability of colorectal screening tests and the number of colonosco...
Article
Altered functional connectivity patterns play an important role in explaining autism spectrum disorder related impairments. In order to examine such connectivity, resting state functional MRI is the most commonly used technique. To date, the majority of works in this area examine a whole time series of brain activation as a discrete stationary proc...
Article
Purpose: Accurate segmentation of retinal layers of the eye in 3-D Optical Coherence Tomography (OCT) data provides relevant information for clinical diagnosis. This manuscript describes a 3D segmentation approach that uses an adaptive patient-specific retinal atlas, as well as an appearance model for 3D OCT data. Methods: To reconstruct the atl...
Article
We present an approach based on optical vortex density to characterize a dynamic process. The proposal is tested in real experiments involving the drying of paint as case study. In this case, speckle patterns are generated by coherent light scattered from the sample. The dynamic behavior of the speckle pattern during the paint drying is evaluated b...
Article
Full-text available
There is limited research on the application of digital technologies at mine sites for treating and managing polluted mine water. This review will identify underlying models, theories and frameworks applied to the mines, and used to “smartly” treat and manage mine water. The aim is to provide informed details about these technologies in order to mo...
Preprint
Full-text available
Dementia is the fifth cause of death worldwide with 10 million new cases every year. Healthcare applications using machine learning techniques have almost reached the physical limits while more data is becoming available resulting from the increasing rate of diagnosis. Recent research in Quantum Machine Learning (QML) techniques have found differen...
Article
Real-time processing and learning of conflicting data, especially messages coming from different ideas, locations, and time, in a dynamic environment such as Twitter is a challenging task that recently gained lots of attention. This paper introduces a framework for managing, processing, analyzing, detecting, and tracking topics in streaming data. W...
Article
Full-text available
Identifying internet spam has been a challenging problem for decades. Several solutions have succeeded to detect spam comments in social media or fraudulent emails. However, an adequate strategy for filtering messages is difficult to achieve, as these messages resemble real communications. From the Natural Language Processing (NLP) perspective, Dee...
Article
Full-text available
Pressure injuries represent a major concern in many nations. These wounds result from prolonged pressure on the skin, which mainly occur among elderly and disabled patients. If retrieving quantitative information using invasive methods is the most used method, it causes significant pain and discomfort to the patients and may also increase the risk...
Article
Full-text available
Determining an object measurement is a challenging task without having a well-defined reference. When a ruler is placed in the same plane of an object being measured it can serve as metric reference, thus a measurement system can be defined and calibrated to correlate actual dimensions with pixels contained in an image. This paper describes a syste...
Article
Full-text available
Heart diseases are highly ranked among the leading causes of mortality in the world. They have various types including vascular, ischemic, and hypertensive heart disease. A large number of medical features are reported for patients in the Electronic Health Records (EHR) that allow physicians to diagnose and monitor heart disease. We collected a dat...
Article
Full-text available
A classic information processing has been replaced by cloud computing in more studies where cloud computing becomes more popular and growing than other computing models. Cloud computing works for providing on-demand services for users. Reliability and energy consumption are two hot challenges and tradeoffs problem in the cloud computing environment...
Article
Purpose: Early assessment of renal allograft function post-transplantation is crucial to minimize and control allograft rejection. Biopsy-the gold standard-is used only as a last resort due to its invasiveness, high cost, adverse events (e.g., bleeding, infection, etc.), and the time for reporting. To overcome these limitations, a renal computer-a...
Article
Full-text available
Colorectal cancer (CRC) is the second leading cause of cancer death in the world. This disease could begin as a non-cancerous polyp in the colon, when not treated in a timely manner, these polyps could induce cancer, and in turn, death. We propose a deep learning model for classifying colon polyps based on the Kudo’s classification schema, using ba...
Chapter
The accurate segmentation of retinal layers of the eye in a 3D optical coherence tomography (OCT) data provides relevant clinical information. This chapter introduces a three-dimensional (3D) segmentation approach that uses an adaptive patient-specific retinal atlas as well as an appearance model for 3D OCT data. To reconstruct that atlas of 3D ret...
Article
Full-text available
Learning methodologies on quantum devices have shown that there are advantages in utilizing quantum properties. A requirement for using quantum computing in machine learning techniques is the data representation as quantum states. In Quantum Machine Learning, quantum state preparation is paramount to attain a functional pipeline in a model. One sta...
Article
Full-text available
The popularity of cloud computing has been growing where the cloud became an attractive alternative rather than classic information processing system. The distributed denial of service (DDoS) attack is one of the famous attacks to cloud computing. This paper proposes a Multiple Layer Defense (MLD) scheme to detect and mitigate DDoS attacks which du...
Article
ressure injuries represent a tremendous healthcare challenge in many nations. Elderly and disabled people are the most affected by this fast growing disease. Hence, an accurate diagnosis of pressure injuries is paramount for efficient treatment. The characteristics of these wounds are crucial indicators for the progress of the healing. While invasi...
Article
Full-text available
Abstract Hypertension is a leading mortality cause of 410,000 patients in USA. Cerebrovascular structural changes that occur as a result of chronically elevated cerebral perfusion pressure are hypothesized to precede the onset of systemic hypertension. A novel framework is presented in this manuscript to detect and quantify cerebrovascular changes...
Article
Full-text available
Autism spectrum disorder is a neuro-developmental disorder that affects the social abilities of the patients. Yet, the gold standard of autism diagnosis is the autism diagnostic observation schedule (ADOS). In this study, we are implementing a computer-aided diagnosis system that utilizes structural MRI (sMRI) and resting-state functional MRI (fMRI...
Article
The large-scale parallel computation that became available on the new generation of GPUs and on cloud-based services can be exploited for use in Healthcare Data analysis. Furthermore, computation workstations suited for Deep Learning are usually equipped with multiple GPUs allowing for workload distribution for larger data sets while exploiting par...