Fahad Layth Malallah Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
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Biography and Research Information
OverviewAI-generated summary
Fahad Layth Malallah's research investigates the application of machine learning and deep learning techniques to address diverse challenges. He has explored the use of deep learning for classifying Iraqi banknotes to aid blind individuals and for remote face mask detection to limit COVID-19 transmission. Malallah has also worked on developing efficient gender classifiers for Arabic speech using convolutional neural networks (CNNs) and has investigated QR code encryption for enhancing bank information confidentiality. His work extends to detecting Distributed Denial-of-Service (DDoS) attacks in software-defined networks and improving COVID-19 diagnoses through deep learning and image processing. Additionally, Malallah has studied the prediction of problematic internet use in children using machine learning and the enhancement of EEG signals for emotional classification. His scholarship metrics include an h-index of 9, with 34 publications and 299 citations.
Metrics
- h-index: 9
- Publications: 34
- Citations: 302
Selected Publications
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Predicting Signs of Problematic Internet Use to Analyze Children’s Health Using Machine Learning (2026)
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Spectrogram Contrast Enhancement Improves EEG Signal-Based Emotional Classification (2025)
Collaboration Network
Top Collaborators
- Limiting COVID-19 infection by automatic remote face mask monitoring and detection using deep learning with IoT
- DDoS Attack Detection in Software Defined Networks by Various Metrics
- Deep learning-based iraqi banknotes classification system for blind people
- Efficient Gender Classifier for Arabic Speech Using CNN With Dimensional Reshaping
- Spectrogram Contrast Enhancement Improves EEG Signal-Based Emotional Classification
- Spectrogram Contrast Enhancement Improves EEG Signal-Based Emotional Classification
- COVID-19 Improved Diagnoses Based on the Open-morphology Filter andDeep-learning
- COVID-19 Improved Diagnoses Based on the Open-morphology Filter andDeep-learning
- COVID-19 Improved Diagnoses Based on the Open-morphology Filter andDeep-learning
- DDoS Attack Detection in Software Defined Networks by Various Metrics
- Limiting COVID-19 infection by automatic remote face mask monitoring and detection using deep learning with IoT
- Limiting COVID-19 infection by automatic remote face mask monitoring and detection using deep learning with IoT
- Efficient Gender Classifier for Arabic Speech Using CNN With Dimensional Reshaping
- Efficient Gender Classifier for Arabic Speech Using CNN With Dimensional Reshaping
- Deep learning-based iraqi banknotes classification system for blind people
- Deep learning-based iraqi banknotes classification system for blind people
- QR Code Encryption for improving Bank information and Confidentiality
- QR Code Encryption for improving Bank information and Confidentiality
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