Falah Sheikh

Profile
Affiliation:	University of Calgary, Data and Network Sciences & Applications (DANSA) Lab
Research Field:	Computer Science
Focus Areas:	Machine Learning, AI, Computational Neuroscience

Profile

Affiliation:

University of Calgary, Data and Network Sciences & Applications (DANSA) Lab

Research Field:

Computer Science

Focus Areas:

Machine Learning, AI, Computational Neuroscience

Academic Timeline
2022 - Began B.Sc. at University of Calgary

Academic Timeline

2022 - Began B.Sc. at University of Calgary

Research Experience
AI Researcher - Data and Network Sciences & Applications Lab University of Calgary, Calgary, AB, Canada Sept. 2025 - Present Lexico-Syntactic Triggers of Language Model Hallucinations Machine Learning Researcher - Data and Network Sciences & Applications Lab University of Calgary, Calgary, AB, Canada Jan. 2025 - Sept. 2025 Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings Machine Learning Researcher - Data and Network Sciences & Applications Lab University of Calgary, Calgary, AB, Canada May 2024 - Jan. 2025 Automated Lunar Age Detection through Determining the Day of the Synodic Month using Convolutional Neural Networks

Research Experience

AI Researcher - Data and Network Sciences & Applications Lab University of Calgary, Calgary, AB, Canada
Sept. 2025 - Present

Lexico-Syntactic Triggers of Language Model Hallucinations

Machine Learning Researcher - Data and Network Sciences & Applications Lab University of Calgary, Calgary, AB, Canada
Jan. 2025 - Sept. 2025

Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans
NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings

Machine Learning Researcher - Data and Network Sciences & Applications Lab University of Calgary, Calgary, AB, Canada
May 2024 - Jan. 2025

Automated Lunar Age Detection through Determining the Day of the Synodic Month using Convolutional Neural Networks

Current Research
Lexico-Syntactic Triggers of Language Model Hallucinations

Current Research

Lexico-Syntactic Triggers of Language Model Hallucinations

Publications
: Equal contribution Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj. Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans. Submitted to MDPI Journal of Diagnostics for review, 2026 [Abstract] Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj. NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings. Submitted to SPIE Medical Imaging - Imaging Informatics Conference for review, 2026 [Abstract] Zaid Nissar, Falah Sheikh, Ahmed Al Marouf, Reda Alhajj, and Jon George Rokne. Automated Lunar Age Detection through Determining the Day of the Synodic Month using Convolutional Neural Networks*. Nature Scientific Reports, 2025 [Abstract] [Link]

Publications

*: Equal contribution

Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj. Deep Learning Models with Explainable AI for Early Alzheimer's Detection from Standard MRI Scans. Submitted to MDPI Journal of Diagnostics for review, 2026 [Abstract]

Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj. NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings. Submitted to SPIE Medical Imaging - Imaging Informatics Conference for review, 2026 [Abstract]

Zaid Nissar*, Falah Sheikh*, Ahmed Al Marouf, Reda Alhajj, and Jon George Rokne. Automated Lunar Age Detection through Determining the Day of the Synodic Month using Convolutional Neural Networks. Nature Scientific Reports, 2025 [Abstract] [Link]

Presentations
Falah Sheikh, Ahmed Al Marouf, Reda Alhajj, and Jon George Rokne Lightweight deep learning models with explainable AI for early Alzheimer's detection from standard MRI scans. Poster presented by Sheikh, F. at the Celebration of Undergraduate Research Experiences, Calgary, AB, Canada, September 2025. Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings Poster presented by Sheikh, F. at the SPIE Medical Imaging - Imaging Informatics Conference, Vancouver, BC, Canada, February 2026.

Presentations

Falah Sheikh, Ahmed Al Marouf, Reda Alhajj, and Jon George Rokne

Lightweight deep learning models with explainable AI for early Alzheimer's detection from standard MRI scans.

Poster presented by Sheikh, F. at the Celebration of Undergraduate Research Experiences, Calgary, AB, Canada, September 2025.
Falah Sheikh, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj

NeuroXAI: Lightweight Explainable Early Alzheimer's Detection for Resource-Constrained Clinical Settings

Poster presented by Sheikh, F. at the SPIE Medical Imaging - Imaging Informatics Conference, Vancouver, BC, Canada, February 2026.

Awards
Alberta Innovates Summer Research Studentship Awarded $7,500 CAD in funding for a 16-week independent research project on efficient and interpretable AI models for early Alzheimer's diagnosis

Awards

Alberta Innovates Summer Research Studentship
Awarded $7,500 CAD in funding for a 16-week independent research project on efficient and interpretable AI models for early Alzheimer's diagnosis

Connect
ORCID iD: 0009-0003-8770-6806 University Email: sheikhfalah.sheikhha@ucalgary.ca Personal Email: falah.h.sheikh@gmail.com LinkedIn

Connect

ORCID iD: 0009-0003-8770-6806

University Email: sheikhfalah.sheikhha@ucalgary.ca

Personal Email: falah.h.sheikh@gmail.com

Code Bases
GitHub

Code Bases

GitHub