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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


Algebraic Topology, Mathematical Physics, Network Neuroscience, Connectomics, Complex Systems, 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

Obaï Bin Ka'b Ali, PhD
Research Scientist


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)

Arsalan Rahimabadi, MSc
PhD candidate


Dynamical systems, neurodegenerative diseases, Mathematical Modeling, Tauopathy

Bahar Moadeli, BSc
Master’s Student


Statistics, Neuroimaging, Functional and Anatomical Connectivity

Giridhar Sunil, B.Tech
MaSc candidate


Extrasynaptic Connectome, KMS States, Persistent Homology, Topology

Leila Mousavi, BSc
Master’s Student


Multimodal, brain connectomes, neural networks, Alzheimer, neuroimaging

Mostafa Sharifzadeh, MSc
PhD candidate


Deep Learning, Ultrasound Imaging, and Biomedical Signal Analysis

Pierre Berroir, MSc.
PhD candidate


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