Fahad Layth Malallah Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

faculty

9 h-index 31 pubs 298 cited

Research Areas

Advanced Neural Network Applications Network Security and Intrusion Detection SARS-CoV-2 and COVID-19 Research Natural Language Processing Techniques AI in cancer detection Health Literacy and Information Accessibility Technology Adoption and User Behaviour

Links

ORCID

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OverviewAI-generated summary

Fahad Layth Malallah's research focuses on the application of deep learning and artificial intelligence techniques to address contemporary challenges. His work includes developing AI-driven systems for classifying Iraqi banknotes to assist blind individuals and creating automated systems for monitoring face mask usage to limit the spread of COVID-19. He has also investigated efficient gender classification for Arabic speech using convolutional neural networks (CNNs) and explored methods for enhancing QR code security to protect bank information. Additionally, Malallah's research extends to detecting Distributed Denial of Service (DDoS) attacks in Software-Defined Networks (SDNs). His recent publications also include work on improving COVID-19 diagnoses through image processing and deep learning, as well as enhancing electroencephalogram (EEG) signal analysis for emotional classification.