Fahad Almuqhim

PhD Student
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falmu027obfuscate@fiu.edu

Fahad Almuqhim is currently a Ph.D. candidate at the Knight Foundation School of Computing & Information Sciences (KFSCIS) at Florida International University, where he is conducting research under the supervision of Prof. Fahad Saeed. His research is primarily focused on enhancing the classification of mental disorders through the development of innovative deep learning models, including Sparse Autoencoders, Attention Networks, and Self-Supervised Architectures, particularly for multi-site fMRI data.

Research

[Method Development] Characterization and diagnosis of Autism Spectrum

Papers

ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field

Systems And Methods For Diagnosing Autism Spectrum Disorder Using fMRI Data

Machine Learning methods for diagnosing Autism Spectrum Disorder and Attention-deficit/Hyperactivity Disorder using functional and structural MRI: A Survey

ASD-SAENet: a sparse autoencoder, and deep-neural network model for detecting autism spectrum disorder (ASD) using fMRI data