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Dina Mahmoud Ibrahim Hussein

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Personal data

  • 00966163012655
  • D.Hussein@qu.edu.sa
  • Desktop watches
    Google Scholar
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    Scientific qualifications

    • B. SC. in Computers and Control Engineering Department, Faculty of Engineering, Tanta University, Egypt
    • M. SC. in Computers and Control Engineering Department, Faculty of Engineering, Tanta University, Egypt
    • PhD. in Computers and Control Engineering Department, Faculty of Engineering, Tanta University, Egypt
    • Assistant Professor in Computers and Control Engineering Department, Faculty of Engineering, Tanta University, Egypt

    Research interests

    • Computer Networks
    • WIRELESS SENSOR NETWORKS
    • Machine Learning
    • Deep Learning
    • Artificial Intelligence (AI)

    Published research

    • Deep-chest: A multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases (2021-01-01)
    • TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications (2022-01-01)
    • Deep learning framework for pneumonia detection from chest X-ray images (2020-01-01)
    • Buildings' energy consumption prediction models based on buildings' characteristics: research trends, taxonomy, and performance measures (2022-01-01)
    • BrainGAN: A Framework for Generating and Classifying Brain MRI Images Using GAN Architectures and CNN Models (2022-01-01)
    • DeepDiabetic: an identification system of diabetic eye diseases using deep neural networks (2024-01-01)
    • Enhancing the vector-based forwarding routing protocol for underwater wireless sensor networks: a clustering approach (2014-01-01)
    • DDD TinyML: A TinyML-based driver drowsiness detection model using deep learning (2023-01-01)
    • Internet of Things technology based on LoRaWAN revolution (2019-01-01)
    • Automatic Cyber Bullying Detection in Arabic Social Media (2019-01-01)
    • HLR-Net: A Hybrid Lip-Reading Model Based on Deep Convolutional Neural Networks (2021-01-01)
    • EduGram: Education Development Based on Hologram Technology. (2021-01-01)
    • Tuning deep neural networks for predicting energy consumption in arid climate based on buildings characteristics (2021-01-01)
    • Raspberry Pi-Based Smart Infant Monitoring System (2019-01-01)
    • PainMeter: automatic assessment of pain intensity levels from multiple physiological signals using machine learning (2024-01-01)
    • Comparative study between hologram technology and augmented reality (2020-01-01)
    • The use of statistical and machine learning tools to accurately quantify the energy performance of residential buildings (2022-01-01)
    • Detecting Credit Card Fraud using Machine Learning. (2021-01-01)
    • Augmenting healthy brain magnetic resonance images using generative adversarial networks (2023-01-01)
    • An efficient electricity theft detection based on deep learning (2025-01-01)
    • Deep smart cities: A review of smart cities applications based an inference of deep learning upon iot devices (2025-01-01)
    • Deep-risk: deep learning-based mortality risk predictive models for COVID-19 (2022-01-01)
    • Improving Date Fruit Classification Using CycleGAN-Generated Dataset (2022-01-01)
    • Using machine learning algorithms for automatic cyber bullying detection in Arabic social media (2020-01-01)
    • A speeded-up robust scale-invariant feature transform currency recognition algorithm (2018-01-01)
    • Original Research Article TinyML: Adopting Tiny Machine Learning in Smart Cities (2024-01-01)
    • Federated intelligence for smart grids: a comprehensive review of security and privacy strategies (2025-01-01)
    • A New Technique for Underwater Wireless Sensor Networks: Modified-Slotted-ALOHA Protocol (2020-01-01)
    • A review study on SQL injection attacks, prevention, and detection (2021-01-01)
    • Improving LoRaWAN Performance Using Reservation ALOHA (2020-01-01)
    • Secure Multimodal Authentication using Gaze and Touch PIN (2019-01-01)
    • Contention-based MAC protocol in underwater wireless sensor networks: Slotted_CS_ALOHA proposed protocol (2016-01-01)
    • Effectiveness of adopting cloud-based E-learning at Qassim University (2022-01-01)
    • Buffering_Slotted_ALOHA protocol for underwater acoustic sensor networks based on the slot status (2021-01-01)
    • Comparative study between emergency response mobile applications (2019-01-01)
    • Improved FP-growth Algorithm with Multiple Minimum Supports using Maximum Constraints (2015-01-01)
    • A Review on Brain-Computer Interface (BCI) Spellers: P300 Speller (2020-01-01)
    • Proposed ST-Slotted-CS-ALOHA Protocol for Time Saving and Collision Avoidance. (2019-01-01)
    • Bounded Side-based Clustering VBF Routing Protocol in Underwater Wireless Sensor Networks (2015-01-01)
    • V-EduGram: Voice-based control technique of hologram technology in education (2022-01-01)
    • Sensitive Data Exposure: Data Forwarding and Storage in a Cloud Environment. (2021-01-01)
    • Improved duplicate record detection using ASCII code Q-gram indexing technique (2018-01-01)
    • Agent-based simulation for coordinating emergency response: A review study (2018-01-01)
    • Applying augmented reality technology to an e-learning system (2018-01-01)
    • Coloured Petri net model for vector-based forwarding routing protocol (2014-01-01)
    • Review of ALOHA-based MAC protocols for underwater wireless sensor networks. (2022-01-01)
    • Patient Assistance System: A Proposed Structure (2019-01-01)
    • Modelling and Performance Enhancement of Underwater Wireless Sensor Networks by Petri Nets (2014-01-01)
    • RNN Diabetic framework for identifying diabetic eye diseases (2025-01-01)
    • Mushakkal: Detecting Arabic Clickbait Using CNN With Various Optimizers (2024-01-01)
    • Coordination Emergency Response Framework (CERF): A Proposed Model (2018-01-01)
    • Coffee Leaf Disease Quadruple Classifier (CLQC) Model Using Deep Learning (2023-01-01)
    • Cross-site scripting (XSS) attack review (2021-01-01)
    • Anomaly Detection in Wireless Sensor Networks: A Proposed Framework (2020-01-01)
    • Histopathological Cancer Detection Based on Deep Learning and Stain Images (2024-01-01)
    • Educational impact and ethical considerations in using chatbots in academia (2024-01-01)
    • Broken authentication and session management vulnerabilities (2021-01-01)
    • The impact of using the SR-SIFT algorithm on various banknotes (2020-01-01)
    • PathGazePIN: Gaze and Path-based Authentication Entry Method (2019-01-01)
    • A communication load-balanced dynamic wireless sensor network topology management algorithm based on AODV (CLB-AODV) (2016-01-01)
    • Modelling of CVBF Algorithm using Coloured Petri Nets (2014-01-01)
    • CV content recognition using YOLOv8 and Tesseract-OCR deep learning (2026-01-01)
    • GANCHEST: a multi-GAN-based framework for chest CXR image generation and validation (2025-01-01)
    • A Federated Learning-Based Framework for Accurately Identifying Human Activity in the Environment (2025-01-01)
    • PRDTinyML: A TinyML-based Pedestrian Detection Model for Autonomous Vehicles in Smart Cities (2025-01-01)
    • A comprehensive review of brain disease classification using deep learning techniques (2023-01-01)
    • Diabetes-based eye disease detection methods using deep learning and GAN techniques: An overview (2023-01-01)
    • Common attacks on near field communication technology (2022-01-01)
    • Data enhancement for date fruit classification using DCGAN (2021-01-01)
    • Open Web Application Security Project components with known vulnerabilities: A comprehensive study (2021-01-01)
    • Analyzing the steps of currency recognition systems (2020-01-01)
    • Configuration of WiMAX network supporting VoIP handover using OPNET simulator (2020-01-01)
    • Enhancing DCCP-TCP-like mechanism for wireless sensor networks (2015-01-01)
    • Smart grid false data injection detection through federated learning with deep learning models (2026-01-01)
    • Detecting Bitcoin fraud using graph neural networks (2026-01-01)
    • Detecting Bitcoin fraud using graph neural networks (2026-01-01)
    • Explainable Multi-Stream Deep Learning for Fine-Grained Camel Breed Classification Using a Novel Arabian and Non-Arabian Dataset (2025-01-01)
    • Critical_TSA: Twitter Sentiment Analysis in Critical Event Using Python (2025-01-01)
    • Enhancing Arabic Dialect Classification with Deep Learning Techniques (2025-01-01)
    • Web-based attack detection using deep learning techniques: a comprehensive review (2025-01-01)
    • Leveraging Deep Learning Models for Retinoblastoma Detection (2025-01-01)
    • Recognizing geographical locations using a GAN-based text-to-image approach (2025-01-01)
    • An Investigation on Diabetes-Based Eye Disease Detection Methods using Deep Learning and GAN Techniques (2024-01-01)
    • Using Machine Learning Algorithms for Automatic Cyberbullying Detection in Arabic Social Media (2021-01-01)
    • Comparative Study between Hologram Technology and Augmented Reality (2021-01-01)
    • Improving LoRaWAN Performance Using Reservation ALOHA (2021-01-01)
    • A Multi-layer Machine Learning-based Intrusion Detection System for Wireless Sensor Networks (2021-01-01)
    • The Effect of Spelling with User’s Mother Tongue on P300 Speller Performance (2020-01-01)
    • isecure (2020-01-01)
    • isecure (2020-01-01)
    • isecure (2020-01-01)
    • Destroying Embedded Malicious Code in Images (DEMI): A Proposed Method (2019-01-01)
    • PathGazePIN: Gaze and Path-based Authentication Entry Method (2019-01-01)
    • Agent-based Analysis Study in Emergencies (2019-01-01)
    • Protocol Converter between Mobile IP and WATM Wireless Networks (2018-01-01)
    • A Speeded Up Robust Scale-Invariant Feature Transform Currency Recognition Algorithm (2018-01-01)
    • A Query Optimization Strategy for Autonomous Distributed Database Systems (2018-01-01)
    • Petri Net-Based Design of Internetworking Protocol Converters (2008-01-01)
    • Timed Petri Net-Based Converter for Heterogeneous Internetworking Protocols (2006-01-01)
    • Ceramic Powders, edited by P. Vincenzini, 1983, 367 (1983-01-01)
    • Using Deep Learning Techniques and Deep Convolutional Generative Adversarial Network (DCGAN) to Detect Traffic Violations (2026-01-01)
    • Proposed ST-Slotted-CS-ALOHA Protocol for Time Saving and Collision Avoidance (2019-01-01)

    Teaching materials

    • Graduation Projects
    • Computer Networks
    • Computer Networks Labs
    • Wireless and Mobile Data Networks
    • Communication Skills
    • General Physics
    • Logic Design
    • Logic Design Labs
    • Web Application Security (Master Students)
    • Advanced Topics in Information Technology (Master Students)

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