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  Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring 

  Chkirbene, Zina; Hamila, Ridha; Unal, Devrim; Gabbouj, Moncef; Hamdi, Mounir ( IEEE , 2024 , Article)

  The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. ...
• The Future of Aerial Communications: A Survey of IRS-Enhanced UAV Communication Technologies 

  Chkirbene, Zina; Gouissem, Ala; Hamila, Ridha; Unal, Devrim ( IEEE , 2024 , Conference Paper)

  The advent of Intelligent Reflecting Surfaces (IRS) and Unmanned Aerial Vehicles (UAVs) is setting a new benchmark in the field of wireless communications. IRS, with their groundbreaking ability to manipulate electromagnetic ...
• Security-Driven Performance Analysis of Lightweight Cryptography for Energy Efficiency Applications 

  Al-Hasan, Tamim M.; Sayed, Aya N.; Bensaali, Faycal; Nhlabatsi, Armstrong; Hamila, Ridha ( IEEE , 2024 , Conference Paper)

  This paper provides a comprehensive analysis of the security-centric performance of the Lightweight Cryptography (LWC) algorithms ASCON, TinyJambu, and Xoodyak, finalists in the NIST standardization process, through their ...
• Improved Handshaking Procedures for Transport Layer Security in Software Defined Networks 

  Li, Xue Jun; Ma, Maode; Hlaing, Cho Wai ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)

  Software defined networking (SDN) has emerged as a new technology to enhance the flexibility, resilience, and automated centralized management of a network. Recently several reports have identified possible vulnerabilities, ...
• A Blockchain-Based Security Scheme for Vehicular Ad Hoc Networks in Smart Cities 

  Li, Xue Jun; Ma, Maode; Yong, Yong Xing ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)

  The development of Vehicular Ad Hoc Networks (VANET) has brought many advantages to facilitate the deployment of the Intelligent Transportation System (ITS). However, without proper protection, VANETs can be vulnerable to ...
• Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey 

  Nawshin, Faria; Gad, Radwa; Unal, Devrim; Al-Ali, Abdulla Khalid; Suganthan, Ponnuthurai N. ( Elsevier , 2024 , Article)

  Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting vulnerabilities from devices as well as ...
• Evaluation of combined genome assemblies: A case study with fungal genomes 

  Abbas, Mostafa M.; Balakrishnan, Ponnuraman; Malluhi, Qutaibah M. ( Springer , 2015 , Conference Paper)

  The rapid advances in genome sequencing leads to the generation of huge amount of data in a single sequencing experiment. Several genome assemblers with different objectives were developed to process these genomic data. ...
• Anonymizing transactional datasets 

  AL Bouna, Becharaa; Clifton, Chrisc; Malluhi, Qutaibah ( IOS Press , 2015 , Article)

  In this paper, we study the privacy breach caused by unsafe correlations in transactional data where individuals have multiple tuples in a dataset. We provide two safety constraints to guarantee safe correlation of the ...
• Securing Aggregate Queries for DNA Databases 

  Nassar, Mohamed; Malluhi, Qutaibah; Atallah, Mikhail; Shikfa, Abdullatif ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)

  This paper addresses the problem of sharing person-specific genomic sequences without violating the privacy of their data subjects to support large-scale biomedical research projects. The proposed method builds on the ...
• Battery-Induced Load Hiding and Its Utility Consequences 

  Aly, Hussein; Altamimi, Emran; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)

  The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ...
• RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model 

  Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)

  This paper introduces a novel residual-based model to identify households with Battery Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy demands of AC units can obscure charging events ...
• Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data 

  Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( IEEE Computer Society , 2023 , Conference Paper)

  The Smart Grid Advanced Metering Infrastructure (AMI) has revolutionized the smart grid network, generating vast amounts of data that can be utilized for diverse objectives, one of which is Household Characteristics ...
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  LocationSpark: In-memory Distributed Spatial Query Processing and Optimization 

  Tang, Mingjie; Yu, Yongyang; Mahmood, Ahmed R.; Malluhi, Qutaibah M.; Ouzzani, Mourad; Aref, Walid G.... more authors ... less authors ( Frontiers Media S.A. , 2020 , Article)

  Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present ...
• A resource provisioning framework for bioinformatics applications in multi-cloud environments 

  Senturk, Izzet F.; Balakrishnan, P.; Abu-Doleh, Anas; Kaya, Kamer; Malluhi, Qutaibah; Çatalyürek, Ümit V.... more authors ... less authors ( Elsevier , 2018 , Article)

  The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ...
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  Smoking induced salivary microbiome dysbiosis and is correlated with lipid biomarkers 

  Mohammed, Layla I.; Razali, Rozaimi; Zakaria, Zain Zaki; Benslimane, Fatiha M.; Cyprian, Farhan; Al-Asmakh, Maha... more authors ... less authors ( Springer Nature , 2024 , Article)

  Background: The oral microbiome plays an essential role in maintaining oral homeostasis and health; smoking significantly affects it, leading to microbial dysbiosis. The study aims to investigate changes in the oral ...
• Embedded wearable EEG seizure detection in ambulatory state 

  Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( UK Simulation Society , 2014 , Article)

  This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ...
• Wirelessly controlled mimicing humanoid robot 

  Qidwai, Uvais; Shakir, Mohamed; Hakouz, Wa'ed; Musa, Nour ( IEEE , 2014 , Conference Paper)

  Educational humanoid robots have started to find there place in institutions for children with special needs and Autism Spectrum Disorder (ASD) children therapy centers. Most of the humanoid robots are expensive, or come ...
• Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems 

  Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( IEEE , 2014 , Conference Paper)

  Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. One such research field is related to epilepsy. The ...
• Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data 

  Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)

  In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ...
• Can immersive type of Virtual Reality bring EMG pattern changes post facial palsy? 

  Qidwai, Uvais; Ajimsha, M. S. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)

  The loss of facial expression via facial paralysis is a devastating condition, both functionally and aesthetically. However, given the life-long plasticity of the brain one could assume that recovery could be facilitated ...

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