Falah Sheikh

About

I'm a Master's student in Computer Science at the University of Calgary, in the Interactions Lab under Dr. Fateme Rajabiyazdi, working on AI and human-centered data visualization for health.

As an undergraduate I worked in the DANSA Lab with Dr. Reda Alhajj and Dr. Jon George Rokne. I studied when and why language models hallucinate, where small changes in how a question is phrased can move error rates by an order of magnitude. I also built interpretable models for early Alzheimer's detection from MRI, aiming for explanations a clinician could actually act on, and a CNN method for dating lunar surfaces from images. What carries across is making a system's behavior legible to the people who have to rely on it.

Publications

NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings
Falah Sheikh, Ahmed Al Marouf, Reda Alhajj, Jon George Rokne. SPIE Medical Imaging (Proceedings Volume 13930: Imaging Informatics), 2026. Paper
Lightweight Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans
Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, Reda Alhajj. MDPI Diagnostics, 2025. Paper
Automated Lunar Age Detection through Determining the Day of the Synodic Month using Convolutional Neural Networks
Zaid Nissar, Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, Reda Alhajj. Nature Scientific Reports, 2025. Paper