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Doing Neuroscience and bioEngineering for healthy brain


Biomedical Imaging and Healthy Aging Laboratory

Who we are

We are a multidsciplinary reseach team of neuroscientists, clinicians, engineers, and mathematicians who study the brain with the shared goal to shed light on factors predicting conversion to neurodegenerative deseases.

More about us

What we do

NeuroImaging & Signals

MRIPETEEGASLVoice AnalysisNeuro-vascular couplingBrain MappingFunctional ConnectivityStructural ConnectivityPredictive NeuroimagingResting-state Networks

Brain Simulation

Whole-Brain Dynamic ModelsBigBrainVirtual Brain ActivitiesNeural DynamicsNumerical SimulationsArtificial IntelligenceDeep Learning

Computational Models

Energy MetabolismTau Protein AccumulationGABAGlutamateNeuro-Glia Vascular ModelNeurodegeneration

Mathematical Neuroscience

Algebraic TopologyMultilayer NetworksComplex SystemsPersistent HomologyStatisticsInformation TheorySpectral TheoryNetwork Neuroscience

Our team

Habib Benali, PhD
PI & Lab Director, Professor, Department of Electrical and Computer Engineering, Canada Research Chair in Biomedical Imaging and Healthy Aging, Member Applied AI Institute


Neuroimaging, Computational Neuroscience, Mathematical Models and Statistics, Signal and Image Processing, Functional and Anatomical Connectivity, Healthy Aging, Motor Learning, Neurodegenerative Deseases

Elkaïoum Moutuou, PhD
Research Associate


Network Neuroscience, Algebraic Topology, Connectomics, Complex Networks, Multilayer Networks, Persistent Homology, Spectral Theory, Quantum Information Theory

Laetitia Jeancolas, PhD
Postdoctoral Researcher & Lab coordinator


Alzheimer's disease, Parkinson's disease, neuroimaging, early detection, voice analysis, ASL, signal processing, machine learning, classification, predictive modeling, statistics

Arsalan Rahimabadi, MSc
PhD candidate


Dynamical systems, neurodegenerative diseases, Mathematical Modeling, Tauopathy

Mostafa Sharifzadeh, MSc
PhD candidate


Deep Learning, Ultrasound Imaging, and Biomedical Signal Analysis

Obaï Bin Ka'b Ali, MSc.
PhD candidate


neuron-glial paradigm; whole-brain network dynamics; network mass modeling; multilayer network modeling; bifurcation analyses; structural connectivity; functional connectivity; local field potential; glutamate; gamma-aminobutyric acid (GABA)

Pierre Berroir, MSc.
PhD candidate


Stroke, fMRI, neurovascular coupling, CBF, perfusion, perilesional tissue, VMHC, homotopic connectivity, hemodynamic, HRF

Shima Panahi Moghadam, BSc.
Graduate Research Assistant


Statistics, Neuro-imaging, Functional Connectivity, Anatomical Connectivity

Kiana Ezzatdoost, BSc.
Master's student


Statistics, Neuro-imaging, Functional Connectivity, Anatomical Connectivity, ...

Clyde Belasso, MSc.
Master's student


Statistics, Neuro-imaging, Functional Connectivity, Anatomical Connectivity, ...

Faezeh Sohrabi, MSc.
Master's student


Statistics, Neuro-imaging, Functional Connectivity, Anatomical Connectivity, ...

Milad Soltanzadeh, BSc.
Master's student


Mathematical Modeling, Lactate Dynamics , Dynamical Systems, Astrocytes,

Niusha Gomar, BSc.
Master's student


Statistics, Neuro-imaging, Functional Connectivity, Anatomical Connectivity, ...

Shirin Panahi Moghadam, BSc.
Master's student


Statistics, Neuro-imaging, Functional Connectivity, Anatomical Connectivity

Sourin Chatterjee, BSc.
Master's student


Network Analysis, Computational Neuroscience, Nonlinear Dynamics