Posters
2026
Characterization of Fulvic Acids Using High Resolution FT-ICR MS, HCD MS/MS and Graph DOM

Maria Lucia Masferrer Bertoli; Pablo R. B. Oliveira; M. Bilal Shabbir; Fahad Saeed; Chad Weissbrod; and Francisco A.Fernandez-Lima, ASMS-2026 (2026).

Addressing Fulvic Acids Chemical diversity and structural complexity with High Resolution Trapped Ion Mobility, FT-ICR Mass Spectrometry and Machine Learning

Pablo R. B. Oliveira; Bilal Shabbir; Kevin J. Dit Fouque; Chad Weisbrod; David D. Stranz; Anton N. Kozhinov; Konstantin O. Nagornov; Yury O. Tsybin; Fahad Saeed; and Francisco A. Fernandez-Lima, ASMS-2026 (2026).

Sequence-Based Enrichment of Structural and Dynamical Protein Representations for Large-Scale Proteomics

Gabriel Bianchin de Oliveira; Fahad Saeed, ASMS-2026 (2026).

2025
Habenula Alterations in Resting State Functional Connectivity among Autistic Individuals

Chloe L. Hampson; Julio A. Peraza; Lauren M. Guerrero; Katherine L. Bottenhorn; Michael C. Riedel; Fahad Almuqhim; Fahad Saeed; Donisha D. Smith; Katherine M. Schmarder; Katharine E. Crooks; Rosario Pintos Lobo; Matthew T. Sutherland; Erica D. Musser; Yael Dai; Rumi Agarwal; Angela R. Laird, OHBM-2025 (2025).

Beyond Mass-Only Filtering: A Multitask Deep Learning Framework for Predicting Peptide Properties from Mass Spectrometry Data

Bilal Shabbir; Usman Tariq; Syed Talha Khalid; Francisco Fernandez-Lima; Fahad Saeed, ASMS-2025 (2025).

2024
Advancing fMRI Classification of Neurological Disorders with a Novel Self-Supervised Learning Approach

Fahad Almuqhim; Saeed, Fahad;, KFSCIS-2024 (2024).

Habenular alterations in resting state functional connectivity in autism spectrum disorder

Chloe L. Hampson; Julio A. Peraza; Lauren M. Guerrero; Katherine L. Bottenhorn; Michael C. Riedel; Fahad Almuqhim; Fahad Saeed; Donisha D. Smith; Katherine M. Schmarder; Katharine E. Crooks; Patricio M. Viera Perez; Erica D. Musser; Yael Dai; Rumi Agarwal; Matthew T. Sutherland5; Angela R. Laird, UM-Neuroscience-2024 (2024).

Predicting Epileptic Seizures using Large Language Models

Parani, Paras; Mohammad, Umair; Saeed, Fahad; , (2024).

Alzheimer’s Disease Diagnosis Using Gray Matter of T1-Weighted sMRI Data and Vision Transformer

Maryam Akhavan Aghdam; Bozdag, Serdar; Saeed, Fahad;, AAIC-2024 (2024).

2023
PVTADNet: Pyramid Vision Transformer to Diagnose Alzheimer’s Disease Using structural MRI Data

Maryam Akhavan Aghdam; Bozdag, Serdar; Saeed, Fahad;, KFSCIS-2023 (2023).

Exploring the impact of muti-site data acquisition parameters on deep learning models for fMRI data

Fahad Almuqhim; Saeed, Fahad;, AI-X-Symposium-2023 (2023).