Computer Science & Engineering
Recent Submissions
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ARABIC QUESTION ANSWERING ON THE HOLY QUR'AN
(2023 , Dissertation)In this dissertation,we address the need for an intelligent machine reading at scale (MRS) Question Answering (QA) system on the Holy Qur'an, given the permanent interest of inquisitors and knowledge seekers in this sacred ... -
MULTI-ZONAL VEHICLE SURVEILLANCE SYSTEM ENABLED BY A PRIVATE PERMISSIONED BLOCKCHAIN
(2023 , Master Thesis)Privacy, security, accessibility, and reliability are the most essential characteristics of a public security system. Existing surveillance systems provide monitoring and surveillance-based security. However, their inference ... -
REINFORCEMENT LEARNING BASED APPROACHES FOR RESOURCE ALLOCATION IN SMART HEALTH SYSTEMS.
(2022 , Master Thesis)With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such conditions demand adaptive fast-acting ... -
AI FOR MELTDOWN DETECTION IN AUTISM USING WEARABLE SENSORS.
(06-2 , Master Thesis)Autism spectrum disorder is a neurodevelopmental disorder that is associated with many symptoms, such as impairments in social skills, communication, and abnormal behaviors. Children on the spectrum exhibit atypical, ... -
INTERPRETABLE DEEP LEARNING MODELS FOR PREDICTION OF CLINICAL OUTCOMES FROM ELECTRONIC HEALTH RECORDS
(06-2 , Dissertation)The rapid adoption of electronic health records (EHRs) has generated tremendous amounts of valuable clinical data on complex diseases and health trajectories. Yet, achieving successful secondary use of this EHR data for ... -
INTRUSION RESPONSE FOR CYBER-PHYSICAL SYSTEMS: A MODEL-FREE DEEP REINFORCEMENT LEARNING APPROACH
(06-2 , Master Thesis)Cyberattacks on Cyber-Physical Systems (CPSs) are on the rise due to CPS increased networked connectivity, which may cause costly environmental hazards as well as human and financial loss. Although the connectivity of CPSs ... -
ENERGY-EFFICIENT USER-EDGE ASSOCIATION AND RESOURCE ALLOCATION IN IOT-BASED HIERARCHICAL FEDERATED LEARNING
(06-2 , Master Thesis)The proliferation of data as part of the Internet of Things (IoT) systems needs to be efficiently utilized while respecting data privacy and scalability. Edge computing is an emerging paradigm that mandates efficient ... -
DETECTION AND COLLECTION OF WASTE USING A PARTIALLY SUBMERGED AQUATIC ROBOT
(06-2 , Master Thesis)With the amount of waste being dispersed into oceans on the rise, mitigating this issue has become a global concern. In the past few decades, governments, scientists, organizations, and individuals have been attempting to ... -
SMART HARDWARE TROJAN DETECTION SYSTEM
(06-2 , Master Thesis)The IoT has become an indispensable part of our lives at work and in our home applications. Due to the need for many IoT devices, IoT manufacturers are least concerned about security vulnerabilities during designing and ... -
ENABLING EFFECTIVE ARABIC INFORMATION RETRIEVAL ON THE WEB AND SOCIAL MEDIA
(06-2 , Dissertation)Arabic is one of the most dominant languages on the Web and social media. The huge and ever-growing Arabic user generated content, further motivated by the ongoing political unrest in the region, created an immense need ... -
ADVANCED MACHINE LEARNING TECHNIQUES FOR ARRHYTHMIA CLASSIFICATION
(06-2 , Master Thesis)With the development of Internet-of-Things (IoT) applications, the concept of smart healthcare applications has gradually emerged to be the main factor in medicine. In fact, this raises the need to have a secure system ... -
HANDWRITING RECOGNITION IN ARABIC HISTORICAL MANUSCRIPTS
(06-2 , Dissertation)Document Analysis and Recognition significantly impact humanitarian studies by revealing information hidden in historical document collections worldwide. This research area merges the sciences of computer vision and machine ... -
DID I SEE IT BEFORE? RETRIEVING PREVIOUSLY CHECKED CLAIMS OVER TWITTER
(2022 , Master Thesis)With the proliferation of fake news in the last few years, especially during COVID- 19, combating the spread of misinformation has become a social and political urgent need. Fact-checkers and journalists need to identify ... -
ENHANCING THE PERFORMANCE AND SECURITY OF ANONYMOUS COMMUNICATION NETWORKS
(2022 , Dissertation)With the increasing importance of the Internet in our daily lives, the private information of millions of users is prone to more security risks. Users data are collected either for commercial purposes and sold by service ... -
PRIVACY-PRESERVING DECENTRALIZED INTRUSION DETECTION SYSTEM FOR IOT DEVICES USING DEEP LEARNING
(2022 , Dissertation)The convergence of advanced networking, breakthrough distributed systems technologies, and smart services has rapidly expanded the threat landscape for IoT devices. Researchers have been looking into lightweight and ... -
INTELLIGENT AGENT-BASED 3D SIMULATION OF COVID-19 FOR ANALYSIS OF SOCIAL CONTROL MEASURES
(2022 , Master Thesis)The aim of this research is to model and simulate the recent and ongoing COVID-19 pandemic in terms of virus contagiousness among mixed groups of patients, carriers, and unaffected populations. The focus is on closed ... -
Quantifying Empathy in Virtual Reality
(2021 , Master Thesis)We propose a multidimensional model in virtual reality (VR) based intervention to quantify empathy enhancement and promotion of prosocial behavior. A simulation in virtual reality is developed, which can be used as a form ... -
Multimodal Intrusion Detection System for Cyber Physical Systems
(2021 , Master Thesis)Cyber-Physical Systems (CPS) are deployed to control critical infrastructure in many fields, including industry and manufacturing. In recent years, CPS have been affected by cyberattacks due to the increased connectivity ... -
A Visualization Training Tool for Optimum Cutting Range During Urethral Dissection in Robot-Assisted Radical Prostatectomy: A deep learning approach
(2021 , Master Thesis)Surgical training and skills assessment is one of the methodologies used by clinical practitioners to master their skills in a fault-tolerant, safe and risk-free environment. Software training tools is one of them. Narrowing ... -
Client-based confidential data sharing using untrusted clouds
(2021 , Master Thesis)Cloud storage has been used widely by organizations and individuals. However, using known cloud providers is not a solution that can fit the needs of many entities that need to store private and sensitive data. This is due ...
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